how to identify marketing research problem

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Identifying a Research Problem: A Step-by-Step Guide

The first and perhaps most important step in the research process is identifying a research problem. This step sets the foundation for all subsequent research activities and largely determines the success of your scholarly work.

This guide provides a comprehensive overview of the steps involved in identifying a research problem, from understanding its essence to employing advanced strategies for refinement.

Key Takeaways

Remember: Grasping the definition and importance of a research problem isn't just a step—it's crucial for your academic success.
Exploring various sources, like literature reviews and expert consultations, can guide you in formulating a solid research problem.
A clear problem statement, aligned research objectives, and well-defined questions are crucial for a focused study.
Evaluating the feasibility and potential impact of a research problem ensures its relevance and scope.
Advanced strategies, including interdisciplinary approaches and technology utilization, can enhance the identification and refinement of research problems.

Understanding the Essence of Identifying a Research Problem

Defining the research problem.

A research problem is the focal point of any academic inquiry. It is a concise and well-defined statement that outlines the specific issue or question that the research aims to address. This research problem usually sets the tone for the entire study and provides you, the researcher, with a clear purpose and a clear direction on how to go about conducting your research.

Importance in Academic Research

It also demonstrates the significance of your research and its potential to contribute new knowledge to the existing body of literature in the world. A compelling research problem not only captivates the attention of your peers but also lays the foundation for impactful and meaningful research outcomes.

Initial Steps to Identification

To identify a research problem, you need a systematic approach and a deep understanding of the subject area. Below are some steps to guide you in this process:

Conduct a thorough literature review to understand what has been studied before.
Identify gaps in the existing research that could form the basis of your study.
Consult with academic mentors to refine your ideas and approach.

Exploring Sources for Research Problem Identification

Literature review.

When you embark on the journey of identifying a research problem, a thorough literature review is indispensable. This process involves scrutinizing existing research to find literature gaps and unexplored areas that could form the basis of your research. It's crucial to analyze recent studies, seminal works, and review articles to ensure a comprehensive understanding of the topic.

Existing Theories and Frameworks

The exploration of existing theories and frameworks provides a solid foundation for developing a research problem. By understanding the established models and theories, you can identify inconsistencies or areas lacking in depth which might offer fruitful avenues for research.

Consultation with Academic Mentors

Engaging with academic mentors is vital in shaping a well-defined research problem. Their expertise can guide you through the complexities of your field, offering insights into feasible research questions and helping you refine your focus. This interaction often leads to the identification of unique and significant research opportunities that align with current academic and industry trends.

Formulating the Research Problem

Crafting a clear problem statement.

To effectively address your research problem, start by crafting a clear problem statement . This involves succinctly describing who is affected by the problem, why it is important, and how your research will contribute to solving it. Ensure your problem statement is concise and specific to guide the entire research process.

Setting Research Objectives

Setting clear research objectives is crucial for maintaining focus throughout your study. These objectives should directly align with the problem statement and guide your research activities. Consider using a bulleted list to outline your main objectives:

Understand the underlying factors contributing to the problem
Explore potential solutions
Evaluate the effectiveness of proposed solutions

Determining Research Questions

The formulation of precise research questions is a pivotal step in defining the scope and direction of your study. These questions should be directly derived from your research objectives and designed to be answerable through your chosen research methods. Crafting well-defined research questions will help you maintain a clear focus and avoid common pitfalls in the research process.

How to Evaluate the Scope and Relevance of Your Research Problem

Feasibility assessment.

Before you finalize a research problem, it is crucial to assess its feasibility. Consider the availability of resources, time, and expertise required to conduct the research. Evaluate potential constraints and determine if the research problem can be realistically tackled within the given limitations.

Significance to the Field

Ask yourself: Does my research problem have a clear and direct impact on my field? How will it contribute to advancing knowledge? It should aim to contribute to existing knowledge and address a real-world issue that is relevant to your academic discipline.

Potential Impact on Existing Knowledge

The potential impact of your research problem on existing knowledge cannot be understated. It should challenge, extend, or refine current understanding in a meaningful way. Consider how your research can add value to the existing body of work and potentially lead to significant advancements in your field.

Techniques for Refining the Research Problem

Narrowing down the focus.

To effectively refine your research problem, start by narrowing down the focus . This involves pinpointing the specific aspects of your topic that are most significant and ensuring that your research problem is not too broad. This targeted approach helps in identifying knowledge gaps and formulating more precise research questions.

Incorporating Feedback

Feedback is crucial in the refinement process. Engage with academic mentors, peers, and experts in your field to gather insights and suggestions. This collaborative feedback can lead to significant improvements in your research problem, making it more robust and relevant.

Iterative Refinement Process

Refinement should be seen as an iterative process, where you continuously refine and revise your research problem based on new information and feedback. This approach ensures that your research problem remains aligned with current trends and academic standards, ultimately enhancing its feasibility and relevance.

Challenges in Identifying a Research Problem

Common pitfalls and how to avoid them.

Identifying a research problem can be fraught with common pitfalls such as selecting a topic that is too broad or too narrow. To avoid these, you should conduct a thorough literature review and seek feedback from peers and mentors. This proactive approach ensures that your research question is both relevant and manageable.

Dealing with Ambiguity

Ambiguity in defining the research problem can lead to significant challenges down the line. Ensure clarity by operationalizing variables and explicitly stating the research objectives. This clarity will guide your entire research process, making it more structured and focused.

Balancing Novelty and Practicality

While it's important to address a novel issue in your research, practicality should not be overlooked. A research problem should not only contribute new knowledge but also be feasible and have clear implications. Balancing these aspects often requires iterative refinement and consultation with academic mentors to align your research with real-world applications.

Advanced Strategies for Identifying a Research Problem

Interdisciplinary approaches.

Embrace the power of interdisciplinary approaches to uncover unique and comprehensive research problems. By integrating knowledge from various disciplines, you can address complex issues that single-field studies might overlook. This method not only broadens the scope of your research but also enhances its applicability and depth.

Utilizing Technology and Data Analytics

Leverage technology and data analytics to refine and identify research problems with precision. Advanced tools like machine learning and big data analysis can reveal patterns and insights that traditional methods might miss. This approach is particularly useful in fields where large datasets are involved, or where real-time data integration can lead to more dynamic research outcomes.

Engaging with Industry and Community Needs

Focus on the needs of industry and community to ensure your research is not only academically sound but also practically relevant. Engaging with real-world problems can provide a rich source of research questions that are directly applicable and beneficial to society. This strategy not only enhances the relevance of your research but also increases its potential for impact.

Dive into the world of academic success with our 'Advanced Strategies for Identifying a Research Problem' at Research Rebels. Our expertly crafted guides and action plans are designed to simplify your thesis journey, transforming complex academic challenges into manageable tasks. Don't wait to take control of your academic future. Visit our website now to learn more and claim your special offer!

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In conclusion, identifying a research problem is a foundational step in the academic research process that requires careful consideration and systematic approach. This guide has outlined the essential steps involved, from understanding the context and reviewing existing literature to formulating clear research questions. By adhering to these guidelines, researchers can ensure that their studies are grounded in a well-defined problem, enhancing the relevance and impact of their findings. It is crucial for scholars to approach this task with rigor and critical thinking to contribute meaningfully to the body of knowledge in their respective fields.

Frequently Asked Questions

What is a research problem.

A research problem is a specific issue, inconsistency, or gap in knowledge that needs to be addressed through scientific inquiry. It forms the foundation of a research study, guiding the research questions, methodology, and analysis.

Why is identifying a research problem important?

Identifying a research problem is crucial as it determines the direction and scope of the study. It helps researchers focus their inquiry, formulate hypotheses, and contribute to the existing body of knowledge.

How do I identify a suitable research problem?

To identify a suitable research problem, start with a thorough literature review to understand existing research and identify gaps. Consult with academic mentors, and consider relevance, feasibility, and your own interests.

What are some common pitfalls in identifying a research problem?

Common pitfalls include choosing a problem that is too broad or too narrow, not aligning with existing literature, lack of originality, and failing to consider the practical implications and feasibility of the study.

Can technology help in identifying a research problem?

Yes, technology and data analytics can aid in identifying research problems by providing access to a vast amount of data, revealing patterns and trends that might not be visible otherwise. Tools like digital libraries and research databases are particularly useful.

How can I refine my research problem?

Refine your research problem by narrowing its focus, seeking feedback from peers and mentors, and continually reviewing and adjusting the problem statement based on new information and insights gained during preliminary research.

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How to Identify & Solve Your Business Problems Using Market Research

by Caitlin Stewart , on June 19, 2014

Problem-Identification Research

By conducting new market research projects in your company, you might discover a potential dilemma or opportunity that you have not considered before. You could discover any of the following factors through problem-identification research:

Brand Image : your customers’ perceptions of your brand. It’s extremely important to be aware of how customers view your company. Determining which strategies you want to use to positively influence your brand image can be done through researching your consumers’ current perceptions and what they want from your company.
Market Characteristics : the characteristics of your target market . You need to consider all aspects that drive your different customers to purchase. Your customers on the west coast are going to have different purchasing behaviors than those from the east coast. Recognizing these differences between subcultures, and meeting the needs of those differences, will help your business’ marketing strategies succeed.
Market Potential : an estimate of your product’s potential profit. If you research how consumers might react to advertising or price changes in your product before you take action, you will be better prepared and market to your consumers more accurately.
Market Share : percent of total product sales compared to your competitors. Market share gives you an estimate of the amount of market your company holds and can give you an idea of how you compare to your competitors . It also can reveal some of your competitors' capabilities and strengths, so you can develop an appropriate strategy.

Problem-Solving Research

Once you identify your marketing problem, you need to research how to solve it. The following research options will help you solve potential problems or capitalize on opportunities identified by your company:

Distribution Research : determining where your product should be sold and how to get it there. Distribution Research helps you plan the best way to get your product from the manufacturer to the retail shelf. In addition to deciding which retailers should carry your product, you should determine where your inventory will be held.
Market Segmentation : Grouping customers by similar backgrounds or similar purchase behaviors. Utilizing problem-solving research can determine how to most accurately accomplish this and even how to design advertisements to attract those groups. You will need to collect both qualitative and quantitative data to accurately understand your market segments.
Pricing Research : determining the ideal price for your product. Setting the price for your product is one of the most important marketing steps. You need to keep the customer in mind as well as remember that the main goal is to maximize your profits. Consider whether or not customers can be gained through lower prices. Can you maximize profit through increasing price? How sensitive will your customers be if you begin slightly increasing price? All aspects need to be well thought-out. Researching customer’s reactions to price sensitivity is essential.
Product Research : testing your new or revised products or completing test marketing. Researching secondary data or observing how your products will be used can allow you to effectively compete in the market. Testing different components can identify new products or discover ways to modify existing products, for example, updating a product to compete with newer products.
Promotional Research : following up with the effectiveness of your advertising strategies . If your company is using advertisements, there are factors you need to be checking up on. Unless you are evaluating your advertising budget, if your ads are useful in both retaining and gaining customers and researching what type of ads (online, commercial or print) are most effective, you truly cannot know whether you’re wasting your company’s money.

Using research for problem identification and problem solving is essential when you want to make your company the best in its market. Classifying your problem should always come before attempting to solve them. Otherwise, you might be spending money to solve the wrong problem.

The Importance of Market Research for Validation and Decision Making

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how to identify marketing research problem

9 Key stages in your marketing research process

You can conduct your own marketing research. Follow these steps, add your own flair, knowledge and creativity, and you’ll have bespoke research to be proud of.

Marketing research is the term used to cover the concept, development, placement and evolution of your product or service, its growing customer base and its branding – starting with brand awareness , and progressing to (everyone hopes) brand equity . Like any research, it needs a robust process to be credible and useful.

Marketing research uses four essential key factors known as the ‘marketing mix’ , or the Four Ps of Marketing :

Product (goods or service)
Price ( how much the customer pays )
Place (where the product is marketed)
Promotion (such as advertising and PR)

These four factors need to work in harmony for a product or service to be successful in its marketplace.

The marketing research process – an overview

A typical marketing research process is as follows:

Identify an issue, discuss alternatives and set out research objectives
Develop a research program
Choose a sample
Gather information
Gather data
Organize and analyze information and data
Present findings
Make research-based decisions
Take action based on insights

Step 1: Defining the marketing research problem

Defining a problem is the first step in the research process. In many ways, research starts with a problem facing management. This problem needs to be understood, the cause diagnosed, and solutions developed.

However, most management problems are not always easy to research, so they must first be translated into research problems. Once you approach the problem from a research angle, you can find a solution. For example, “sales are not growing” is a management problem, but translated into a research problem, it becomes “ why are sales not growing?” We can look at the expectations and experiences of several groups : potential customers, first-time buyers, and repeat purchasers. We can question whether the lack of sales is due to:

Poor expectations that lead to a general lack of desire to buy, or
Poor performance experience and a lack of desire to repurchase.

This, then, is the difference between a management problem and a research problem. Solving management problems focuses on actions: Do we advertise more? Do we change our advertising message? Do we change an under-performing product configuration? And if so, how?

Defining research problems, on the other hand, focus on the whys and hows, providing the insights you need to solve your management problem.

Step 2: Developing a research program: method of inquiry

The scientific method is the standard for investigation. It provides an opportunity for you to use existing knowledge as a starting point, and proceed impartially.

The scientific method includes the following steps:

Define a problem
Develop a hypothesis
Make predictions based on the hypothesis
Devise a test of the hypothesis
Conduct the test
Analyze the results

This terminology is similar to the stages in the research process. However, there are subtle differences in the way the steps are performed:

the scientific research method is objective and fact-based, using quantitative research and impartial analysis
the marketing research process can be subjective, using opinion and qualitative research, as well as personal judgment as you collect and analyze data

Step 3: Developing a research program: research method

As well as selecting a method of inquiry (objective or subjective), you must select a research method . There are two primary methodologies that can be used to answer any research question:

Experimental research : gives you the advantage of controlling extraneous variables and manipulating one or more variables that influence the process being implemented.
Non-experimental research : allows observation but not intervention – all you do is observe and report on your findings.

Step 4: Developing a research program: research design

Research design is a plan or framework for conducting marketing research and collecting data. It is defined as the specific methods and procedures you use to get the information you need.

There are three core types of marketing research designs: exploratory, descriptive, and causal . A thorough marketing research process incorporates elements of all of them.

Exploratory marketing research

This is a starting point for research. It’s used to reveal facts and opinions about a particular topic, and gain insight into the main points of an issue. Exploratory research is too much of a blunt instrument to base conclusive business decisions on, but it gives the foundation for more targeted study. You can use secondary research materials such as trade publications, books, journals and magazines and primary research using qualitative metrics, that can include open text surveys, interviews and focus groups.

Descriptive marketing research

This helps define the business problem or issue so that companies can make decisions, take action and monitor progress. Descriptive research is naturally quantitative – it needs to be measured and analyzed statistically , using more targeted surveys and questionnaires. You can use it to capture demographic information , evaluate a product or service for market, and monitor a target audience’s opinion and behaviors. Insights from descriptive research can inform conclusions about the market landscape and the product’s place in it.

Causal marketing research

This is useful to explore the cause and effect relationship between two or more variables. Like descriptive research , it uses quantitative methods, but it doesn’t merely report findings; it uses experiments to predict and test theories about a product or market. For example, researchers may change product packaging design or material, and measure what happens to sales as a result.

Step 5: Choose your sample

Your marketing research project will rarely examine an entire population. It’s more practical to use a sample - a smaller but accurate representation of the greater population. To design your sample, you’ll need to answer these questions:

Which base population is the sample to be selected from? Once you’ve established who your relevant population is (your research design process will have revealed this), you have a base for your sample. This will allow you to make inferences about a larger population.
What is the method (process) for sample selection? There are two methods of selecting a sample from a population:

1. Probability sampling : This relies on a random sampling of everyone within the larger population.

2. Non-probability sampling : This is based in part on the investigator’s judgment, and often uses convenience samples, or by other sampling methods that do not rely on probability.

What is your sample size? This important step involves cost and accuracy decisions. Larger samples generally reduce sampling error and increase accuracy, but also increase costs. Find out your perfect sample size with our calculator .

Step 6: Gather data

Your research design will develop as you select techniques to use. There are many channels for collecting data, and it’s helpful to differentiate it into O-data (Operational) and X-data (Experience):

O-data is your business’s hard numbers like costs, accounting, and sales. It tells you what has happened, but not why.
X-data gives you insights into the thoughts and emotions of the people involved: employees, customers, brand advocates.

When you combine O-data with X-data, you’ll be able to build a more complete picture about success and failure - you’ll know why. Maybe you’ve seen a drop in sales (O-data) for a particular product. Maybe customer service was lacking, the product was out of stock, or advertisements weren’t impactful or different enough: X-data will reveal the reason why those sales dropped. So, while differentiating these two data sets is important, when they are combined, and work with each other, the insights become powerful.

With mobile technology, it has become easier than ever to collect data. Survey research has come a long way since market researchers conducted face-to-face, postal, or telephone surveys. You can run research through:

Social media ( polls and listening )

Another way to collect data is by observation. Observing a customer’s or company’s past or present behavior can predict future purchasing decisions. Data collection techniques for predicting past behavior can include market segmentation , customer journey mapping and brand tracking .

Regardless of how you collect data, the process introduces another essential element to your research project: the importance of clear and constant communication .

And of course, to analyze information from survey or observation techniques, you must record your results . Gone are the days of spreadsheets. Feedback from surveys and listening channels can automatically feed into AI-powered analytics engines and produce results, in real-time, on dashboards.

Step 7: Analysis and interpretation

The words ‘ statistical analysis methods ’ aren’t usually guaranteed to set a room alight with excitement, but when you understand what they can do, the problems they can solve and the insights they can uncover, they seem a whole lot more compelling.

Statistical tests and data processing tools can reveal:

Whether data trends you see are meaningful or are just chance results
Your results in the context of other information you have
Whether one thing affecting your business is more significant than others
What your next research area should be
Insights that lead to meaningful changes

There are several types of statistical analysis tools used for surveys. You should make sure that the ones you choose:

Work on any platform - mobile, desktop, tablet etc.
Integrate with your existing systems
Are easy to use with user-friendly interfaces, straightforward menus, and automated data analysis
Incorporate statistical analysis so you don’t just process and present your data, but refine it, and generate insights and predictions.

Here are some of the most common tools:

Benchmarking : a way of taking outside factors into account so that you can adjust the parameters of your research. It ‘levels the playing field’ – so that your data and results are more meaningful in context. And gives you a more precise understanding of what’s happening.
Regression analysis : this is used for working out the relationship between two (or more) variables. It is useful for identifying the precise impact of a change in an independent variable.
T-test is used for comparing two data groups which have different mean values. For example, do women and men have different mean heights?
Analysis of variance (ANOVA) Similar to the T-test, ANOVA is a way of testing the differences between three or more independent groups to see if they’re statistically significant.
Cluster analysis : This organizes items into groups, or clusters, based on how closely associated they are.
Factor analysis: This is a way of condensing many variables into just a few, so that your research data is less unwieldy to work with.
Conjoint analysis : this will help you understand and predict why people make the choices they do. It asks people to make trade-offs when making decisions, just as they do in the real world, then analyzes the results to give the most popular outcome.
Crosstab analysis : this is a quantitative market research tool used to analyze ‘categorical data’ - variables that are different and mutually exclusive, such as: ‘men’ and ‘women’, or ‘under 30’ and ‘over 30’.
Text analysis and sentiment analysis : Analyzing human language and emotions is a rapidly-developing form of data processing, assigning positive, negative or neutral sentiment to customer messages and feedback.

Stats IQ can perform the most complicated statistical tests at the touch of a button using our online survey software , or data from other sources. Learn more about Stats iQ now .

Step 8: The marketing research results

Your marketing research process culminates in the research results. These should provide all the information the stakeholders and decision-makers need to understand the project.

The results will include:

all your information
a description of your research process
the results
conclusions
recommended courses of action

They should also be presented in a form, language and graphics that are easy to understand, with a balance between completeness and conciseness, neither leaving important information out or allowing it to get so technical that it overwhelms the readers.

Traditionally, you would prepare two written reports:

a technical report , discussing the methods, underlying assumptions and the detailed findings of the research project
a summary report , that summarizes the research process and presents the findings and conclusions simply.

There are now more engaging ways to present your findings than the traditional PowerPoint presentations, graphs, and face-to-face reports:

Live, interactive dashboards for sharing the most important information, as well as tracking a project in real time.
Results-reports visualizations – tables or graphs with data visuals on a shareable slide deck
Online presentation technology, such as Prezi
Visual storytelling with infographics
A single-page executive summary with key insights
A single-page stat sheet with the top-line stats

You can also make these results shareable so that decision-makers have all the information at their fingertips.

Step 9 Turn your insights into action

Insights are one thing, but they’re worth very little unless they inform immediate, positive action. Here are a few examples of how you can do this:

Stop customers leaving – negative sentiment among VIP customers gets picked up; the customer service team contacts the customers, resolves their issues, and avoids churn .
Act on important employee concerns – you can set certain topics, such as safety, or diversity and inclusion to trigger an automated notification or Slack message to HR. They can rapidly act to rectify the issue.
Address product issues – maybe deliveries are late, maybe too many products are faulty. When product feedback gets picked up through Smart Conversations, messages can be triggered to the delivery or product teams to jump on the problems immediately.
Improve your marketing effectiveness - Understand how your marketing is being received by potential customers, so you can find ways to better meet their needs
Grow your brand - Understand exactly what consumers are looking for, so you can make sure that you’re meeting their expectations

Free eBook: Quantitative and qualitative research design

Scott Smith

Scott Smith, Ph.D. is a contributor to the Qualtrics blog.

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How to Do Market Research: The Complete Guide

Learn how to do market research with this step-by-step guide, complete with templates, tools and real-world examples.

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Market research is the systematic process of gathering, analyzing and interpreting information about a specific market or industry.

What are your customers’ needs? How does your product compare to the competition? What are the emerging trends and opportunities in your industry? If these questions keep you up at night, it’s time to conduct market research.

Market research plays a pivotal role in your ability to stay competitive and relevant, helping you anticipate shifts in consumer behavior and industry dynamics. It involves gathering these insights using a wide range of techniques, from surveys and interviews to data analysis and observational studies.

In this guide, we’ll explore why market research is crucial, the various types of market research, the methods used in data collection, and how to effectively conduct market research to drive informed decision-making and success.

What is market research?

The purpose of market research is to offer valuable insight into the preferences and behaviors of your target audience, and anticipate shifts in market trends and the competitive landscape. This information helps you make data-driven decisions, develop effective strategies for your business, and maximize your chances of long-term growth.

Business intelligence insight graphic with hand showing a lightbulb with $ sign in it

Why is market research important?

By understanding the significance of market research, you can make sure you’re asking the right questions and using the process to your advantage. Some of the benefits of market research include:

Informed decision-making: Market research provides you with the data and insights you need to make smart decisions for your business. It helps you identify opportunities, assess risks and tailor your strategies to meet the demands of the market. Without market research, decisions are often based on assumptions or guesswork, leading to costly mistakes.
Customer-centric approach: A cornerstone of market research involves developing a deep understanding of customer needs and preferences. This gives you valuable insights into your target audience, helping you develop products, services and marketing campaigns that resonate with your customers.
Competitive advantage: By conducting market research, you’ll gain a competitive edge. You’ll be able to identify gaps in the market, analyze competitor strengths and weaknesses, and position your business strategically. This enables you to create unique value propositions, differentiate yourself from competitors, and seize opportunities that others may overlook.
Risk mitigation: Market research helps you anticipate market shifts and potential challenges. By identifying threats early, you can proactively adjust their strategies to mitigate risks and respond effectively to changing circumstances. This proactive approach is particularly valuable in volatile industries.
Resource optimization: Conducting market research allows organizations to allocate their time, money and resources more efficiently. It ensures that investments are made in areas with the highest potential return on investment, reducing wasted resources and improving overall business performance.
Adaptation to market trends: Markets evolve rapidly, driven by technological advancements, cultural shifts and changing consumer attitudes. Market research ensures that you stay ahead of these trends and adapt your offerings accordingly so you can avoid becoming obsolete.

As you can see, market research empowers businesses to make data-driven decisions, cater to customer needs, outperform competitors, mitigate risks, optimize resources and stay agile in a dynamic marketplace. These benefits make it a huge industry; the global market research services market is expected to grow from $76.37 billion in 2021 to $108.57 billion in 2026 . Now, let’s dig into the different types of market research that can help you achieve these benefits.

Types of market research

Qualitative research
Quantitative research
Exploratory research
Descriptive research
Causal research
Cross-sectional research
Longitudinal research

Despite its advantages, 23% of organizations don’t have a clear market research strategy. Part of developing a strategy involves choosing the right type of market research for your business goals. The most commonly used approaches include:

1. Qualitative research

Qualitative research focuses on understanding the underlying motivations, attitudes and perceptions of individuals or groups. It is typically conducted through techniques like in-depth interviews, focus groups and content analysis — methods we’ll discuss further in the sections below. Qualitative research provides rich, nuanced insights that can inform product development, marketing strategies and brand positioning.

2. Quantitative research

Quantitative research, in contrast to qualitative research, involves the collection and analysis of numerical data, often through surveys, experiments and structured questionnaires. This approach allows for statistical analysis and the measurement of trends, making it suitable for large-scale market studies and hypothesis testing. While it’s worthwhile using a mix of qualitative and quantitative research, most businesses prioritize the latter because it is scientific, measurable and easily replicated across different experiments.

3. Exploratory research

Whether you’re conducting qualitative or quantitative research or a mix of both, exploratory research is often the first step. Its primary goal is to help you understand a market or problem so you can gain insights and identify potential issues or opportunities. This type of market research is less structured and is typically conducted through open-ended interviews, focus groups or secondary data analysis. Exploratory research is valuable when entering new markets or exploring new product ideas.

4. Descriptive research

As its name implies, descriptive research seeks to describe a market, population or phenomenon in detail. It involves collecting and summarizing data to answer questions about audience demographics and behaviors, market size, and current trends. Surveys, observational studies and content analysis are common methods used in descriptive research.

5. Causal research

Causal research aims to establish cause-and-effect relationships between variables. It investigates whether changes in one variable result in changes in another. Experimental designs, A/B testing and regression analysis are common causal research methods. This sheds light on how specific marketing strategies or product changes impact consumer behavior.

6. Cross-sectional research

Cross-sectional market research involves collecting data from a sample of the population at a single point in time. It is used to analyze differences, relationships or trends among various groups within a population. Cross-sectional studies are helpful for market segmentation, identifying target audiences and assessing market trends at a specific moment.

7. Longitudinal research

Longitudinal research, in contrast to cross-sectional research, collects data from the same subjects over an extended period. This allows for the analysis of trends, changes and developments over time. Longitudinal studies are useful for tracking long-term developments in consumer preferences, brand loyalty and market dynamics.

Each type of market research has its strengths and weaknesses, and the method you choose depends on your specific research goals and the depth of understanding you’re aiming to achieve. In the following sections, we’ll delve into primary and secondary research approaches and specific research methods.

Primary vs. secondary market research

Market research of all types can be broadly categorized into two main approaches: primary research and secondary research. By understanding the differences between these approaches, you can better determine the most appropriate research method for your specific goals.

Primary market research

Primary research involves the collection of original data straight from the source. Typically, this involves communicating directly with your target audience — through surveys, interviews, focus groups and more — to gather information. Here are some key attributes of primary market research:

Customized data: Primary research provides data that is tailored to your research needs. You design a custom research study and gather information specific to your goals.
Up-to-date insights: Because primary research involves communicating with customers, the data you collect reflects the most current market conditions and consumer behaviors.
Time-consuming and resource-intensive: Despite its advantages, primary research can be labor-intensive and costly, especially when dealing with large sample sizes or complex study designs. Whether you hire a market research consultant, agency or use an in-house team, primary research studies consume a large amount of resources and time.

Secondary market research

Secondary research, on the other hand, involves analyzing data that has already been compiled by third-party sources, such as online research tools, databases, news sites, industry reports and academic studies.

Here are the main characteristics of secondary market research:

Cost-effective: Secondary research is generally more cost-effective than primary research since it doesn’t require building a research plan from scratch. You and your team can look at databases, websites and publications on an ongoing basis, without needing to design a custom experiment or hire a consultant.
Leverages multiple sources: Data tools and software extract data from multiple places across the web, and then consolidate that information within a single platform. This means you’ll get a greater amount of data and a wider scope from secondary research.
Quick to access: You can access a wide range of information rapidly — often in seconds — if you’re using online research tools and databases. Because of this, you can act on insights sooner, rather than taking the time to develop an experiment.

So, when should you use primary vs. secondary research? In practice, many market research projects incorporate both primary and secondary research to take advantage of the strengths of each approach.

One rule of thumb is to focus on secondary research to obtain background information, market trends or industry benchmarks. It is especially valuable for conducting preliminary research, competitor analysis, or when time and budget constraints are tight. Then, if you still have knowledge gaps or need to answer specific questions unique to your business model, use primary research to create a custom experiment.

Market research methods

Surveys and questionnaires
Focus groups
Observational research
Online research tools
Experiments
Content analysis
Ethnographic research

How do primary and secondary research approaches translate into specific research methods? Let’s take a look at the different ways you can gather data:

1. Surveys and questionnaires

Surveys and questionnaires are popular methods for collecting structured data from a large number of respondents. They involve a set of predetermined questions that participants answer. Surveys can be conducted through various channels, including online tools, telephone interviews and in-person or online questionnaires. They are useful for gathering quantitative data and assessing customer demographics, opinions, preferences and needs. On average, customer surveys have a 33% response rate , so keep that in mind as you consider your sample size.

2. Interviews

Interviews are in-depth conversations with individuals or groups to gather qualitative insights. They can be structured (with predefined questions) or unstructured (with open-ended discussions). Interviews are valuable for exploring complex topics, uncovering motivations and obtaining detailed feedback.

3. Focus groups

The most common primary research methods are in-depth webcam interviews and focus groups. Focus groups are a small gathering of participants who discuss a specific topic or product under the guidance of a moderator. These discussions are valuable for primary market research because they reveal insights into consumer attitudes, perceptions and emotions. Focus groups are especially useful for idea generation, concept testing and understanding group dynamics within your target audience.

4. Observational research

Observational research involves observing and recording participant behavior in a natural setting. This method is particularly valuable when studying consumer behavior in physical spaces, such as retail stores or public places. In some types of observational research, participants are aware you’re watching them; in other cases, you discreetly watch consumers without their knowledge, as they use your product. Either way, observational research provides firsthand insights into how people interact with products or environments.

5. Online research tools

You and your team can do your own secondary market research using online tools. These tools include data prospecting platforms and databases, as well as online surveys, social media listening, web analytics and sentiment analysis platforms. They help you gather data from online sources, monitor industry trends, track competitors, understand consumer preferences and keep tabs on online behavior. We’ll talk more about choosing the right market research tools in the sections that follow.

6. Experiments

Market research experiments are controlled tests of variables to determine causal relationships. While experiments are often associated with scientific research, they are also used in market research to assess the impact of specific marketing strategies, product features, or pricing and packaging changes.

7. Content analysis

Content analysis involves the systematic examination of textual, visual or audio content to identify patterns, themes and trends. It’s commonly applied to customer reviews, social media posts and other forms of online content to analyze consumer opinions and sentiments.

8. Ethnographic research

Ethnographic research immerses researchers into the daily lives of consumers to understand their behavior and culture. This method is particularly valuable when studying niche markets or exploring the cultural context of consumer choices.

How to do market research

Set clear objectives
Identify your target audience
Choose your research methods
Use the right market research tools
Collect data
Analyze data
Interpret your findings
Identify opportunities and challenges
Make informed business decisions
Monitor and adapt

Now that you have gained insights into the various market research methods at your disposal, let’s delve into the practical aspects of how to conduct market research effectively. Here’s a quick step-by-step overview, from defining objectives to monitoring market shifts.

1. Set clear objectives

When you set clear and specific goals, you’re essentially creating a compass to guide your research questions and methodology. Start by precisely defining what you want to achieve. Are you launching a new product and want to understand its viability in the market? Are you evaluating customer satisfaction with a product redesign?

Start by creating SMART goals — objectives that are specific, measurable, achievable, relevant and time-bound. Not only will this clarify your research focus from the outset, but it will also help you track progress and benchmark your success throughout the process.

You should also consult with key stakeholders and team members to ensure alignment on your research objectives before diving into data collecting. This will help you gain diverse perspectives and insights that will shape your research approach.

2. Identify your target audience

Next, you’ll need to pinpoint your target audience to determine who should be included in your research. Begin by creating detailed buyer personas or stakeholder profiles. Consider demographic factors like age, gender, income and location, but also delve into psychographics, such as interests, values and pain points.

The more specific your target audience, the more accurate and actionable your research will be. Additionally, segment your audience if your research objectives involve studying different groups, such as current customers and potential leads.

If you already have existing customers, you can also hold conversations with them to better understand your target market. From there, you can refine your buyer personas and tailor your research methods accordingly.

3. Choose your research methods

Selecting the right research methods is crucial for gathering high-quality data. Start by considering the nature of your research objectives. If you’re exploring consumer preferences, surveys and interviews can provide valuable insights. For in-depth understanding, focus groups or observational research might be suitable. Consider using a mix of quantitative and qualitative methods to gain a well-rounded perspective.

You’ll also need to consider your budget. Think about what you can realistically achieve using the time and resources available to you. If you have a fairly generous budget, you may want to try a mix of primary and secondary research approaches. If you’re doing market research for a startup , on the other hand, chances are your budget is somewhat limited. If that’s the case, try addressing your goals with secondary research tools before investing time and effort in a primary research study.

4. Use the right market research tools

Whether you’re conducting primary or secondary research, you’ll need to choose the right tools. These can help you do anything from sending surveys to customers to monitoring trends and analyzing data. Here are some examples of popular market research tools:

Market research software: Crunchbase is a platform that provides best-in-class company data, making it valuable for market research on growing companies and industries. You can use Crunchbase to access trusted, first-party funding data, revenue data, news and firmographics, enabling you to monitor industry trends and understand customer needs.

Survey and questionnaire tools: SurveyMonkey is a widely used online survey platform that allows you to create, distribute and analyze surveys. Google Forms is a free tool that lets you create surveys and collect responses through Google Drive.
Data analysis software: Microsoft Excel and Google Sheets are useful for conducting statistical analyses. SPSS is a powerful statistical analysis software used for data processing, analysis and reporting.
Social listening tools: Brandwatch is a social listening and analytics platform that helps you monitor social media conversations, track sentiment and analyze trends. Mention is a media monitoring tool that allows you to track mentions of your brand, competitors and keywords across various online sources.
Data visualization platforms: Tableau is a data visualization tool that helps you create interactive and shareable dashboards and reports. Power BI by Microsoft is a business analytics tool for creating interactive visualizations and reports.

5. Collect data

There’s an infinite amount of data you could be collecting using these tools, so you’ll need to be intentional about going after the data that aligns with your research goals. Implement your chosen research methods, whether it’s distributing surveys, conducting interviews or pulling from secondary research platforms. Pay close attention to data quality and accuracy, and stick to a standardized process to streamline data capture and reduce errors.

6. Analyze data

Once data is collected, you’ll need to analyze it systematically. Use statistical software or analysis tools to identify patterns, trends and correlations. For qualitative data, employ thematic analysis to extract common themes and insights. Visualize your findings with charts, graphs and tables to make complex data more understandable.

If you’re not proficient in data analysis, consider outsourcing or collaborating with a data analyst who can assist in processing and interpreting your data accurately.

7. Interpret your findings

Interpreting your market research findings involves understanding what the data means in the context of your objectives. Are there significant trends that uncover the answers to your initial research questions? Consider the implications of your findings on your business strategy. It’s essential to move beyond raw data and extract actionable insights that inform decision-making.

Hold a cross-functional meeting or workshop with relevant team members to collectively interpret the findings. Different perspectives can lead to more comprehensive insights and innovative solutions.

8. Identify opportunities and challenges

Use your research findings to identify potential growth opportunities and challenges within your market. What segments of your audience are underserved or overlooked? Are there emerging trends you can capitalize on? Conversely, what obstacles or competitors could hinder your progress?

Lay out this information in a clear and organized way by conducting a SWOT analysis, which stands for strengths, weaknesses, opportunities and threats. Jot down notes for each of these areas to provide a structured overview of gaps and hurdles in the market.

9. Make informed business decisions

Market research is only valuable if it leads to informed decisions for your company. Based on your insights, devise actionable strategies and initiatives that align with your research objectives. Whether it’s refining your product, targeting new customer segments or adjusting pricing, ensure your decisions are rooted in the data.

At this point, it’s also crucial to keep your team aligned and accountable. Create an action plan that outlines specific steps, responsibilities and timelines for implementing the recommendations derived from your research.

10. Monitor and adapt

Market research isn’t a one-time activity; it’s an ongoing process. Continuously monitor market conditions, customer behaviors and industry trends. Set up mechanisms to collect real-time data and feedback. As you gather new information, be prepared to adapt your strategies and tactics accordingly. Regularly revisiting your research ensures your business remains agile and reflects changing market dynamics and consumer preferences.

Online market research sources

As you go through the steps above, you’ll want to turn to trusted, reputable sources to gather your data. Here’s a list to get you started:

Crunchbase: As mentioned above, Crunchbase is an online platform with an extensive dataset, allowing you to access in-depth insights on market trends, consumer behavior and competitive analysis. You can also customize your search options to tailor your research to specific industries, geographic regions or customer personas.

Product Image Advanced Search CRMConnected

Academic databases: Academic databases, such as ProQuest and JSTOR , are treasure troves of scholarly research papers, studies and academic journals. They offer in-depth analyses of various subjects, including market trends, consumer preferences and industry-specific insights. Researchers can access a wealth of peer-reviewed publications to gain a deeper understanding of their research topics.
Government and NGO databases: Government agencies, nongovernmental organizations and other institutions frequently maintain databases containing valuable economic, demographic and industry-related data. These sources offer credible statistics and reports on a wide range of topics, making them essential for market researchers. Examples include the U.S. Census Bureau , the Bureau of Labor Statistics and the Pew Research Center .
Industry reports: Industry reports and market studies are comprehensive documents prepared by research firms, industry associations and consulting companies. They provide in-depth insights into specific markets, including market size, trends, competitive analysis and consumer behavior. You can find this information by looking at relevant industry association databases; examples include the American Marketing Association and the National Retail Federation .
Social media and online communities: Social media platforms like LinkedIn or Twitter (X) , forums such as Reddit and Quora , and review platforms such as G2 can provide real-time insights into consumer sentiment, opinions and trends.

Market research examples

At this point, you have market research tools and data sources — but how do you act on the data you gather? Let’s go over some real-world examples that illustrate the practical application of market research across various industries. These examples showcase how market research can lead to smart decision-making and successful business decisions.

Example 1: Apple’s iPhone launch

Apple ’s iconic iPhone launch in 2007 serves as a prime example of market research driving product innovation in tech. Before the iPhone’s release, Apple conducted extensive market research to understand consumer preferences, pain points and unmet needs in the mobile phone industry. This research led to the development of a touchscreen smartphone with a user-friendly interface, addressing consumer demands for a more intuitive and versatile device. The result was a revolutionary product that disrupted the market and redefined the smartphone industry.

Example 2: McDonald’s global expansion

McDonald’s successful global expansion strategy demonstrates the importance of market research when expanding into new territories. Before entering a new market, McDonald’s conducts thorough research to understand local tastes, preferences and cultural nuances. This research informs menu customization, marketing strategies and store design. For instance, in India, McDonald’s offers a menu tailored to local preferences, including vegetarian options. This market-specific approach has enabled McDonald’s to adapt and thrive in diverse global markets.

Example 3: Organic and sustainable farming

The shift toward organic and sustainable farming practices in the food industry is driven by market research that indicates increased consumer demand for healthier and environmentally friendly food options. As a result, food producers and retailers invest in sustainable sourcing and organic product lines — such as with these sustainable seafood startups — to align with this shift in consumer values.

The bottom line? Market research has multiple use cases and is a critical practice for any industry. Whether it’s launching groundbreaking products, entering new markets or responding to changing consumer preferences, you can use market research to shape successful strategies and outcomes.

Market research templates

You finally have a strong understanding of how to do market research and apply it in the real world. Before we wrap up, here are some market research templates that you can use as a starting point for your projects:

Smartsheet competitive analysis templates : These spreadsheets can serve as a framework for gathering information about the competitive landscape and obtaining valuable lessons to apply to your business strategy.
SurveyMonkey product survey template : Customize the questions on this survey based on what you want to learn from your target customers.
HubSpot templates : HubSpot offers a wide range of free templates you can use for market research, business planning and more.
SCORE templates : SCORE is a nonprofit organization that provides templates for business plans, market analysis and financial projections.
SBA.gov : The U.S. Small Business Administration offers templates for every aspect of your business, including market research, and is particularly valuable for new startups.

Strengthen your business with market research

When conducted effectively, market research is like a guiding star. Equipped with the right tools and techniques, you can uncover valuable insights, stay competitive, foster innovation and navigate the complexities of your industry.

Throughout this guide, we’ve discussed the definition of market research, different research methods, and how to conduct it effectively. We’ve also explored various types of market research and shared practical insights and templates for getting started.

Now, it’s time to start the research process. Trust in data, listen to the market and make informed decisions that guide your company toward lasting success.

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104 Reading: The Marketing Research Process

A standard approach to research inquiries.

Marketing research is a useful and necessary tool for helping marketers and an organization’s executive leadership make wise decisions. Carrying out marketing research can involve highly specialized skills that go deeper than the information outlined in this module. However, it is important for any marketer to be familiar with the basic procedures and techniques of marketing research.

It is very likely that at some point a marketing professional will need to supervise an internal marketing research activity or to work with an outside marketing research firm to conduct a research project. Managers who understand the research function can do a better job of framing the problem and critically appraising the proposals made by research specialists. They are also in a better position to evaluate their findings and recommendations.

Periodically marketers themselves need to find solutions to marketing problems without the assistance of marketing research specialists inside or outside the company. If you are familiar with the basic procedures of marketing research, you can supervise and even conduct a reasonably satisfactory search for the information needed.

Steps of the Marketing Research Process: 1. Identify the problem (this includes the problem to solve, project objectives, and research questions). 2. Develop the research plan (this includes information needed, research & sales methods). 3. Conduct research (this includes secondary data review, primary data collection, suitable methods and techniques. 4. Analyze and report findings (this includes data formatting and analysis, interpretation of results, reports and recommendations. 5. Take action (this includes thought and planning, evaluation of options, course adjustment and execution.

Step 1: Identify the Problem

The first step for any marketing research activity is to clearly identify and define the problem you are trying to solve. You start by stating the marketing or business problem you need to address and for which you need additional information to figure out a solution. Next, articulate the objectives for the research: what do you want to understand by the time the research project is completed? What specific information, guidance, or recommendations need to come out of the research in order to make it a worthwhile investment of the organization’s time and money?

It’s important to share the problem definition and research objectives with other team members to get their input and further refine your understanding of the problem and what is needed to solve it. At times, the problem you really need to solve is not the same problem that appears on the surface. Collaborating with other stakeholders helps refine your understanding of the problem, focus your thinking, and prioritize what you hope to learn from the research. Prioritizing your objectives is particularly helpful if you don’t have the time or resources to investigate everything you want.

To flesh out your understanding of the problem, it’s useful to begin brainstorming actual research questions you want to explore. What are the questions you need to answer in order to get to the research outcomes? What is the missing information that marketing research will help you find? The goal at this stage is to generate a set of preliminary, big-picture questions that will frame your research inquiry. You will revisit these research questions later in the process, but when you’re getting started, this exercise helps clarify the scope of the project, whom you need to talk to, what information may already be available, and where to look for the information you don’t yet have.

Applied Example: Marketing Research for Bookends

To illustrate the marketing research process, let’s return to Uncle Dan and his ailing bookstore, Bookends. You need a lot of information if you’re going to help Dan turn things around, so marketing research is a good idea. You begin by identifying the problem and then work to set down your research objectives and initial research questions:

Identifying Problems, Objectives, and Questions

Core business problem Dan needs to solve

How to get more people to spend more money at Bookends.

Research Objectives

Identify promising target audiences for Bookends
Identify strategies for rapidly increasing revenue from these target audiences

Initial research questions

Who are Bookends’ current customers?
How much money do they spend?
Why do they come to Bookends?
What do they wish Bookends offered?
Who isn’t coming to Bookends, and why?

Step 2: Develop a Research Plan

Once you have a problem definition, research objectives, and a preliminary set of research questions, the next step is to develop a research plan. Essential to this plan is identifying precisely what information you need to answer your questions and achieve your objectives. Do you need to understand customer opinions about something? Are you looking for a clearer picture of customer needs and related behaviors? Do you need sales, spending, or revenue data? Do you need information about competitors’ products or insight about what will make prospective customers notice you? When do you need the information, and what’s the time frame for getting it? What budget and resources are available?

Once you have clarified what kind of information you need and the timing and budget for your project, you can develop the research design. This details how you plan to collect and analyze the information you’re after. Some types of information are readily available through secondary research and secondary data sources. Secondary research analyzes information that has already been collected for another purpose by a third party, such as a government agency, an industry association, or another company. Other types of information need to from talking directly to customers about your research questions. This is known as primary research , which collects primary data captured expressly for your research inquiry. Marketing research projects may include secondary research, primary research, or both.

Depending on your objectives and budget, sometimes a small-scale project will be enough to get the insight and direction you need. At other times, in order to reach the level of certainty or detail required, you may need larger-scale research involving participation from hundreds or even thousands of individual consumers. The research plan lays out the information your project will capture—both primary and secondary data—and describes what you will do with it to get the answers you need. (Note: You’ll learn more about data collection methods and when to use them later in this module.)

Your data collection plan goes hand in hand with your analysis plan. Different types of analysis yield different types of results. The analysis plan should match the type of data you are collecting, as well as the outcomes your project is seeking and the resources at your disposal. Simpler research designs tend to require simpler analysis techniques. More complex research designs can yield powerful results, such as understanding causality and trade-offs in customer perceptions. However, these more sophisticated designs can require more time and money to execute effectively, both in terms of data collection and analytical expertise.

The research plan also specifies who will conduct the research activities, including data collection, analysis, interpretation, and reporting on results. At times a singlehanded marketing manager or research specialist runs the entire research project. At other times, a company may contract with a marketing research analyst or consulting firm to conduct the research. In this situation, the marketing manager provides supervisory oversight to ensure the research delivers on expectations.

Finally, the research plan indicates who will interpret the research findings and how the findings will be reported. This part of the research plan should consider the internal audience(s) for the research and what reporting format will be most helpful. Often, senior executives are primary stakeholders, and they’re anxious for marketing research to inform and validate their choices. When this is the case, getting their buy-in on the research plan is recommended to make sure that they are comfortable with the approach and receptive to the potential findings.

Applied Example: A Bookends Research Plan

You talk over the results of your problem identification work with Dan. He thinks you’re on the right track and wants to know what’s next. You explain that the next step is to put together a detailed plan for getting answers to the research questions.

Dan is enthusiastic, but he’s also short on money. You realize that such a financial constraint will limit what’s possible, but with Dan’s help, you can do something worthwhile. Below is the research plan you sketch out:

Identifying Data Types, Timing, Budget, Data Collection Methods, Analysis, and Interpretation

Types of data needed

Demographics and attitudes of current Bookends customers
Current customers’ spending patterns
Metro area demographics (to determine types of people who aren’t coming to the store)

Timing and budget

Complete project within 1 month
No out-of-pocket spending

Data collection methods

Current customer survey using a free online survey tool
Store sales data mapped to customer survey results
Statistics Canada data on metro-area demographics
8 to 10 intercept (“man on the street”) interviews with non-customers

Analysis plan

Use Excel or Google Sheets to tabulate data
Marina (statistician cousin) to assist in identifying data patterns that could become market segments

Interpretation and Reporting

You and Dan will work together to comb through the data and see what insights it produces. You’ll use PowerPoint to create a report that lays out significant results, key findings, and recommendations.

Step 3: Conduct the Research

Conducting research can be a fun and exciting part of the marketing research process. After struggling with the gaps in your knowledge of market dynamics—which led you to embark on a marketing research project in the first place—now things are about to change. Conducting research begins to generate information that helps answer your urgent marketing questions. As previously mentioned, there are two types of research: primary and secondary. Primary research is research that you conduct yourself (i.e., you go out into the field and find data and complete experiments). Secondary research is research conducted or synthesized by someone else (i.e., someone else has gone out into the field or someone else has compiled multiple sources of research). Though it may seem counterintuitive based on their names, typically data collection begins by reviewing any existing secondary research. After getting everything you can from secondary research, it’s time to shift attention to primary research. After all, it’s much easier (and smarter!) to review existing research before potentially redoing experiments or recapturing known information.

Secondary Research

With secondary research, it’s important to narrow your scope to existing research and data that provide some information or insight about the problem. Prior research projects, internal data analyses, industry reports, customer satisfaction survey results, and other information sources may be worthwhile to review. Even though these resources may not answer your research questions fully, they may further illuminate the problem you are trying to solve. Secondary research and data sources are nearly always cheaper than capturing new information on your own. Your marketing research project should benefit from prior work wherever possible.

Primary Research

You may not always complete primary research, but it is often part of research plans. Primary research involves asking questions and then listening to and/or observing the behavior of the target audience you are studying. In order to generate reliable, accurate results, it is important to use proper scientific methods for primary research data collection and analysis. This includes identifying the right individuals and number of people to talk to, using carefully worded surveys or interview scripts, and capturing data accurately. Without proper techniques, you may inadvertently get bad data or discover bias in the responses that distorts the results and points you in the wrong direction. The module on Marketing Research Techniques discusses these issues in further detail since the procedures for getting reliable data vary by research method.

Applied Example: Getting the Data on Bookends

Dan is on board with the research plan, and he’s excited to dig into the project. You start with secondary data, getting a dump of Dan’s sales data from the past two years, along with related information: customer name, postal code, frequency of purchase, gender, date of purchase, and discounts/promotions (if any).

You visit the U.S. Census Bureau website for Arkansas to download demographic data about a metro area. The data show all census subdivisions in the area, along with population size, gender breakdown, age ranges, income, and education levels.

The next part of the project is customer survey data. You work with Dan to put together a short survey about customer attitudes toward Bookends, how often and why they come, where else they spend money on books and entertainment, and why they go other places besides Bookends. Dan comes up with the great idea of offering a 5 percent discount coupon to anyone who completes the survey. Although it eats into his profits, this scheme gets more people to complete the survey and buy books, so it’s worth it.

Man with a full beard wearing a red hat pushes a stroller with a baby inside. A woman is checking on the child and talking on her cell phone. Two young people are walking in the background.

For a couple of days, you and Dan take turns doing “man on the street” interviews (you interview the guy in the red hat, for instance). You find people who say they’ve never been to Bookends and ask them a few questions about why they haven’t visited the store, where else they buy books and other entertainment, and what might get them interested in visiting Bookends sometime. This is a lot of work, but for a zero-budget project, it’s coming together pretty well.

Step 4: Analyze and Report Findings

Analyzing the data obtained in a market survey involves transforming the primary and/or secondary data into useful information and insights that answer the research questions. This information is condensed into a format to be used by managers—usually a presentation or detailed report.

Analysis starts with formatting, cleaning, and editing the data to make sure that it’s suitable for whatever analytical techniques are being used. Next, data is tabulated to show what’s happening: what do customers actually think? What’s happening with purchasing or other behaviors? How do revenue figures actually add up? Whatever the research questions, the analysis takes source data and applies analytical techniques to provide a clearer picture of what’s going on. This process may involve simple or sophisticated techniques, depending on the research outcomes required. Common analytical techniques include regression analysis to determine correlations between factors; conjoint analysis to determine trade-offs and priorities; predictive modeling to anticipate patterns and causality, and analysis of unstructured data such as Internet search terms or social media posts to provide context and meaning around what people say and do.

Good analysis is important because the interpretation of research data—the “so what?” factor—depends on it. The analysis combs through data to paint a picture of what’s going on. The interpretation goes further to explain what the research data means and make recommendations about what managers need to know and do based on the research results. For example, what is the shortlist of key findings and takeaways that managers should remember from the research? What are the market segments you’ve identified, and which ones should you target? What are the primary reasons your customers choose your competitor’s product over yours, and what does this mean for future improvements to your product?

Individuals with a good working knowledge of the business should be involved in interpreting the data because they are in the best position to identify significant insights and make recommendations from the research findings. Marketing research reports incorporate both analysis and interpretation of data to address the project objectives.

The final report for a marketing research project may be in written form or slide-presentation format, depending on organizational culture and management preferences. Often a slide presentation is the preferred format for initially sharing research results with internal stakeholders. Particularly for large, complex projects, a written report may be a better format for discussing detailed findings and nuances in the data, which managers can study and reference in the future.

Applied Example: Analysis and Insights for Bookends

Getting the data was a bit of a hassle, but now you’ve got it and you’re excited to see what it reveals. Your statistician cousin, Marina, turns out to be a whiz with both the sales data and the census data. She identified several demographic profiles in the metro area that looked a lot like lifestyle segments. Then she mapped Bookends’ sales data into those segments to show who is and isn’t visiting Bookends. After matching customer survey data to the sales data, she broke down the segments further based on their spending levels and reasons they visit Bookends.

Gradually a clearer picture of Bookends’ customers is beginning to emerge: who they are, why they come, why they don’t come, and what role Bookends plays in their lives. Right away, a couple of higher-priority segments—based on their spending levels, proximity, and loyalty to Bookends—stand out. You and your uncle are definitely seeing some possibilities for making the bookstore a more prominent part of their lives. You capture these insights as “recommendations to be considered” while you evaluate the right marketing mix for each of the new segments you’d like to focus on.

Step 5: Take Action

Once the report is complete, the presentation is delivered, and the recommendations are made, the marketing research project is over, right? Wrong.

What comes next is arguably the most important step of all: taking action based on your research results.

If your project has done a good job interpreting the findings and translating them into recommendations for the marketing team and other areas of the business, this step may seem relatively straightforward. When the research results validate a path the organization is already on, the “take action” step can galvanize the team to move further and faster in that same direction.

Things are not so simple when the research results indicate a new direction or a significant shift is advisable. In these cases, it’s worthwhile to spend time helping managers understand the research, explain why it is wise to shift course, and explain how the business will benefit from the new path. As with any important business decision, managers must think deeply about the new approach and carefully map strategies, tactics, and available resources to plan effectively. By making the results available and accessible to managers and their execution teams, the marketing research project can serve as an ongoing guide and touchstone to help the organization plan, execute, and adjust course as it works toward desired goals and outcomes.

It is worth mentioning that many marketing research projects are never translated into management action. Sometimes this is because the report is too technical and difficult to understand. In other cases, the research conclusions fail to provide useful insights or solutions to the problem, or the report writer fails to offer specific suggestions for translating the research findings into management strategy. These pitfalls can be avoided by paying due attention to the research objectives throughout the project and allocating sufficient time and resources to do a good job interpreting research results for those who will need to act on them.

Applied Example: Bookends’ New Customer Campaign

Your research findings and recommendations identified three segments for Bookends to focus on. Based on the demographics, lifestyle, and spending patterns found during your marketing research, you’re able to name them: 1) Bored Empty-Nesters, 2) Busy Families, and 3) Hipster Wannabes. Dan has a decent-sized clientele across all three groups, and they are pretty good spenders when they come in. But until now he hasn’t done much to purposely attract any of them.

With newly identified segments in focus, you and Dan begin brainstorming about a marketing mix to target each group. What types of books and other products would appeal to each one? What activities or events would bring them into the store? Are there promotions or particular messages that would induce them to buy at Bookends instead of Amazon or another bookseller? How will Dan reach and communicate with each group? And what can you do to bring more new customers into the store within these target groups?

Even though Bookends is a real-life project with serious consequences for your uncle Dan, it’s also a fun laboratory where you can test out some of the principles you’re learning in your marketing class. You’re figuring out quickly what it’s like to be a marketer.

Well done, rookie!

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How to Define a Research Problem | Ideas & Examples

How to Define a Research Problem | Ideas & Examples

Published on November 2, 2022 by Shona McCombes and Tegan George. Revised on May 31, 2023.

A research problem is a specific issue or gap in existing knowledge that you aim to address in your research. You may choose to look for practical problems aimed at contributing to change, or theoretical problems aimed at expanding knowledge.

Some research will do both of these things, but usually the research problem focuses on one or the other. The type of research problem you choose depends on your broad topic of interest and the type of research you think will fit best.

This article helps you identify and refine a research problem. When writing your research proposal or introduction , formulate it as a problem statement and/or research questions .

Why is the research problem important, step 1: identify a broad problem area, step 2: learn more about the problem, other interesting articles, frequently asked questions about research problems.

Having an interesting topic isn’t a strong enough basis for academic research. Without a well-defined research problem, you are likely to end up with an unfocused and unmanageable project.

You might end up repeating what other people have already said, trying to say too much, or doing research without a clear purpose and justification. You need a clear problem in order to do research that contributes new and relevant insights.

Whether you’re planning your thesis , starting a research paper , or writing a research proposal , the research problem is the first step towards knowing exactly what you’ll do and why.

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As you read about your topic, look for under-explored aspects or areas of concern, conflict, or controversy. Your goal is to find a gap that your research project can fill.

Practical research problems

If you are doing practical research, you can identify a problem by reading reports, following up on previous research, or talking to people who work in the relevant field or organization. You might look for:

Issues with performance or efficiency
Processes that could be improved
Areas of concern among practitioners
Difficulties faced by specific groups of people

Examples of practical research problems

Voter turnout in New England has been decreasing, in contrast to the rest of the country.

The HR department of a local chain of restaurants has a high staff turnover rate.

A non-profit organization faces a funding gap that means some of its programs will have to be cut.

Theoretical research problems

If you are doing theoretical research, you can identify a research problem by reading existing research, theory, and debates on your topic to find a gap in what is currently known about it. You might look for:

A phenomenon or context that has not been closely studied
A contradiction between two or more perspectives
A situation or relationship that is not well understood
A troubling question that has yet to be resolved

Examples of theoretical research problems

The effects of long-term Vitamin D deficiency on cardiovascular health are not well understood.

The relationship between gender, race, and income inequality has yet to be closely studied in the context of the millennial gig economy.

Historians of Scottish nationalism disagree about the role of the British Empire in the development of Scotland’s national identity.

Next, you have to find out what is already known about the problem, and pinpoint the exact aspect that your research will address.

Context and background

Who does the problem affect?
Is it a newly-discovered problem, or a well-established one?
What research has already been done?
What, if any, solutions have been proposed?
What are the current debates about the problem? What is missing from these debates?

Specificity and relevance

What particular place, time, and/or group of people will you focus on?
What aspects will you not be able to tackle?
What will the consequences be if the problem is not resolved?

Example of a specific research problem

A local non-profit organization focused on alleviating food insecurity has always fundraised from its existing support base. It lacks understanding of how best to target potential new donors. To be able to continue its work, the organization requires research into more effective fundraising strategies.

Once you have narrowed down your research problem, the next step is to formulate a problem statement , as well as your research questions or hypotheses .

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If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Methodology

Sampling methods
Simple random sampling
Stratified sampling
Cluster sampling
Likert scales
Reproducibility

Statistics

Null hypothesis
Statistical power
Probability distribution
Effect size
Poisson distribution

Research bias

Optimism bias
Cognitive bias
Implicit bias
Hawthorne effect
Anchoring bias
Explicit bias

All research questions should be:

Focused on a single problem or issue
Researchable using primary and/or secondary sources
Feasible to answer within the timeframe and practical constraints
Specific enough to answer thoroughly
Complex enough to develop the answer over the space of a paper or thesis
Relevant to your field of study and/or society more broadly

Research questions anchor your whole project, so it’s important to spend some time refining them.

In general, they should be:

Focused and researchable
Answerable using credible sources
Complex and arguable
Feasible and specific
Relevant and original

Your research objectives indicate how you’ll try to address your research problem and should be specific:

A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.

Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.

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Home Market Research

Research problem: Everything a market researcher needs to know

A research process includes several steps that assist individuals involved in a study in conducting successful testing. Defining a research problem is an essential step in any research and can help in outlining your study’s methodology.

LEARN ABOUT: Research Process Steps

In this article, we will define a research problem and go over everything a researcher should know.

Content Index

What is a research problem?

What is the research problem statement, what is the purpose of a research problem statement, characteristics of a research problem, characteristics of a research problem statement.

Components of a research problem?

Steps to formulate a research problem

Marketing research problem example, research problem statement example, extensive research problem software, platform, and tool, top seven benefits of using a robust research software, advantages of formulating a research problem, how questionpro helps researchers solve research problems.

A research problem is a specific question, problem, or difficulty that needs to be investigated or analyzed.

It is a concise statement that expresses the difference between what is currently known and what needs to be known or the difference between a current situation and a desired state.

Examining research problems helps to identify the key concepts and terms of research. A research problem should be clear, concise, and specific enough to guide the process and contribute to the definition of research project objectives, methods, and outcomes. It is the foundation of any research project, and a well-formulated research problem is required for any research study to be successful.

A research problem statement is a brief and precise description of the problem that a researcher wishes to investigate. It defines the research’s focus and serves as a framework for developing research questions or hypotheses.

Typically, the problem statement begins with a broad topic or research area and then narrows down to a specific research question or problem. It should explain why the research is important, what gaps in knowledge or understanding exist, and what potential implications or applications the research may have.

A good research statement keeps the researcher focused and guides the research project’s development. It also assists other researchers in comprehending the scope and significance of the research, as well as identifying potential areas for collaboration or further investigation.

LEARN ABOUT: Action Research

A problem statement in research seeks to achieve the following:

Introduce the importance of the topic in the research proposal.
Position the problem in an appropriate and particular context.
Provide a framework to analyze and report results.

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Make sure to fulfill these essential characteristics to have an effective research problem. Due to the variety of research, we conduct, it is not possible to inculcate all these characteristics. However, ensure to consider and cover most of these characteristics to enable people to look at, examine, and understand the marketing research problem.

Covers the essential needs or issues

LEARN ABOUT: Market research vs marketing research

The problem is stated logically and clearly

The research project is based on actual facts and evidence (non-hypothetical), the research problem generates and encourages research questions, it fits the budget and time frame, sufficient data can be obtained, the problem has an unsatisfactory answer, or is it a new problem.

Here are the characteristics of a research problem statement:

It must address the gap in knowledge.
It must be significant to the extent that it contributes positively to the research
It must help in further research
The collected empirical data confirm the clarity and understandability of the research problem.
It must be in the researcher’s interest should and suit his/her time, practical knowledge, research skills , and resources
The problem-solving approach must be ethical
Customary research methods can be applied

LEARN ABOUT: Theoretical Research

Components of a research problem

A research problem has the following components:

Research consumer

Research-consumers objective, alternative means to meet the objective, doubts in the selection of alternatives, there must be more than one environment.

Here are the five basic steps to formulate a research problem:

Identify the broad research area

Divide the broad area into sub-areas.

Profile of soccer players
Profile of soccer clubs
Level of soccer clubs
Impact of the club on the city
Revenue generating areas
Sponsors of the soccer clubs

Choose a sub-area

Formulate research questions, set research objectives.

Organizations and companies use marketing research problems to gauge the risks associated with launching a new product or service. They do not wish to spend money expanding a product line where research shows it will not succeed. A well-designed, well-executed marketing research study helps in identifying customer interests, consumer tastes, and preferences to help with decisions around the product or service.

A research question is the most important aspect of the research. You must spend time refining and assessing the research questions before getting started with the research activities. A research question must be straightforward, to the point, focused, and appropriately complex to capture the most relevant information.

Having difficulty writing research problems? Follow these examples to write a problem statement:

Incorrect: What are the effects of social media on people? Correct: What effect does use Facebook every day have on teenagers?

In the above example, the first research question is not specific enough to capture accurate feedback. Nobody knows what social media you’re talking about and what ‘people’ you’re referring to.

Let’s look at another marketing research problem example.

Incorrect: Who has a better healthcare system? The US or the UK? Correct: How do low-income earning people feel about the healthcare system, and how do the UK and the US compare?

The next research question is comprehensive and does not draw a definite conclusion about the healthcare systems of both countries.

The third example of how to write a problem statement is:

Incorrect: What will help political parties address the issues of low voter turnout? Correct: What communication strategies can political parties apply to increase voter turnout among people between the age of 25-30?

Again, comparing both statements, the second one is more direct and implies only a specific group of people, thus collecting actionable information.

Formulating a marketing research problem is just one crucial part of the research process. Another essential aspect of marketing research is using a robust market research software tool that aids in your research activity.

For example, The Research methods knowledge base is a comprehensive web-based textbook that covers all the topics in a typical introductory undergraduate or graduate social research methods course. It covers the research question, measurement (surveys, scaling, qualitative, unobtrusive), research design (experimental and quasi-experimental research ), data analysis, and writing the research paper.

You can do a whole lot by choosing the right research platform to solve a specific problem. By using a research repository , you can mitigate the need to think of research and a research problem as a decentralized process in your organization.

Here are the benefits of using a robust research software tool

Powerful and efficient market research

Professional grade, powerful survey logic, collect unbiased data, data analysis, advanced analysis techniques, uncover brand insights.

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Here are the advantages of formulating a research problem:

Understanding the research procedure

Determining the research objective, design the research process, lays the foundation for research.

QuestionPro provides a number of tools and features to assist researchers in solving research problems, including:

Survey creation: QuestionPro offers to skip logic, branching, randomization, and a range of research question types.
Data Collection: QuestionPro lets researchers collect data through email, social media, and embedded surveys on websites.
Real-time Data Analytics: QuestionPro’s real-time data analytics solutions help researchers solve research issues. Researchers may quickly spot patterns and make data-driven decisions using the platform’s strong analytics tools.
Collaboration: Researchers can invite team members to surveys and exchange data and analytic results, making collaboration and task completion easy with QuestionPro.
Integration with Other Tools: QuestionPro integrates with a variety of other tools, including Salesforce, Hubspot, and Google Analytics.

QuestionPro provides a comprehensive set of research tools to assist researchers in solving research problems. QuestionPro provides a complete solution that can help researchers tackle their research problems with ease, from survey creation to data collection, real-time data analytics, collaboration, and integration with other tools. Contact QuestionPro right away to get the best value for your research process!

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What Is the First Step in the Marketing Research Process?

Many people think of marketing research as a critical step in launching a new business or product.

However, marketing research can be just as helpful once a business is already established. For example, marketing research can help businesses successfully adjust their pricing, update their branding , expand into a new audience segment, or increase their market share.

The marketing research process can range in complexity and scope, but successful research always follows the same order of operations, starting with the first step.

What is the first step in the marketing research process?

The first step in the marketing research process is defining the problem . That may sound like a glass-half-empty pessimist’s approach, but it’s really about finding the solution.

Before you start any kind of research — whether it’s marketing-related or not — you must know the problem you are trying to solve. Once you define your problem, you can ask the right questions and get the answers you need to take action.

If you’re not sure what the problem is, start with your goal. Your goal should be SMART (Specific Measurable Attainable Relevant Timely). Then, you can work backwards to define the problem.

What is a marketing problem?

The marketing problem is one the business needs to solve in order to reach their goal. Having said that, the problem should be treated as a research problem, not a business problem.

For example, you want to ask, “How do different price points affect audience perception or interest in our product?” as opposed to “What steps should we take to ensure our price increase is a success?” The first question focuses on the research — finding the answers to specific questions, while the second question focuses on the action items a business must take after the research is completed.

Here are a few more examples of marketing problems vs. business problems.

Example #1: Goal is to expand into a new target audience

Management problem: “How do we expand our target audience to include demographic X?”
Research problem : “What unique needs does demographic X have? What is their perception of how other products in the space are currently serving their needs? How do different types of messaging resonate with them?”

Example #2: Goal is to improve the current marketing campaigns for a particular product

Management problem: “How do we create more effective marketing campaigns for this product?”
Research problem: “How do our different user personas rate the effectiveness of the current marketing campaigns for this product? Do they respond more or less positively to alternate messaging? What are their feelings on our competitors’ campaigns?”

What are the next steps in the marketing research process?

By clearly defining the problem, you can stay focused throughout the rest of the marketing research process. Using your problem as your guide, you can:

Determine the tools and methodology you’ll use to conduct your marketing research
Define the specific questions you want answered
Seek out the right people to help you answer those questions, e.g. individuals from your target audience, market experts, etc.
Gather your information into a digestible format so you can present and analyze it with the broader team

Marketing research is an essential first step in the success of any new venture, whether it’s as broad as creating an ecommerce store or as focused as expanding into a new market. Defining your problem is crucial to keeping your research streamlined and effective. For help making your research a success, contact Your Marketing People . We have years of experience conducting marketing research that boosts revenue and other essential KPIs for our clients.

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10.2 Steps in the Marketing Research Process

Learning objective.

Describe the basic steps in the marketing research process and the purpose of each step.

The basic steps used to conduct marketing research are shown in Figure 10.6 “Steps in the Marketing Research Process” . Next, we discuss each step.

Figure 10.6 Steps in the Marketing Research Process

Step 1: Define the Problem (or Opportunity)

There’s a saying in marketing research that a problem half defined is a problem half solved. Defining the “problem” of the research sounds simple, doesn’t it? Suppose your product is tutoring other students in a subject you’re a whiz at. You have been tutoring for a while, and people have begun to realize you’re darned good at it. Then, suddenly, your business drops off. Or it explodes, and you can’t cope with the number of students you’re being asked help. If the business has exploded, should you try to expand your services? Perhaps you should subcontract with some other “whiz” students. You would send them students to be tutored, and they would give you a cut of their pay for each student you referred to them.

Both of these scenarios would be a problem for you, wouldn’t they? They are problems insofar as they cause you headaches. But are they really the problem? Or are they the symptoms of something bigger? For example, maybe your business has dropped off because your school is experiencing financial trouble and has lowered the number of scholarships given to incoming freshmen. Consequently, there are fewer total students on campus who need your services. Conversely, if you’re swamped with people who want you to tutor them, perhaps your school awarded more scholarships than usual, so there are a greater number of students who need your services. Alternately, perhaps you ran an ad in your school’s college newspaper, and that led to the influx of students wanting you to tutor them.

Businesses are in the same boat you are as a tutor. They take a look at symptoms and try to drill down to the potential causes. If you approach a marketing research company with either scenario—either too much or too little business—the firm will seek more information from you such as the following:

In what semester(s) did your tutoring revenues fall (or rise)?
In what subject areas did your tutoring revenues fall (or rise)?
In what sales channels did revenues fall (or rise): Were there fewer (or more) referrals from professors or other students? Did the ad you ran result in fewer (or more) referrals this month than in the past months?
Among what demographic groups did your revenues fall (or rise)—women or men, people with certain majors, or first-year, second-, third-, or fourth-year students?

The key is to look at all potential causes so as to narrow the parameters of the study to the information you actually need to make a good decision about how to fix your business if revenues have dropped or whether or not to expand it if your revenues have exploded.

The next task for the researcher is to put into writing the research objective. The research objective is the goal(s) the research is supposed to accomplish. The marketing research objective for your tutoring business might read as follows:

To survey college professors who teach 100- and 200-level math courses to determine why the number of students referred for tutoring dropped in the second semester.

This is admittedly a simple example designed to help you understand the basic concept. If you take a marketing research course, you will learn that research objectives get a lot more complicated than this. The following is an example:

“To gather information from a sample representative of the U.S. population among those who are ‘very likely’ to purchase an automobile within the next 6 months, which assesses preferences (measured on a 1–5 scale ranging from ‘very likely to buy’ to ‘not likely at all to buy’) for the model diesel at three different price levels. Such data would serve as input into a forecasting model that would forecast unit sales, by geographic regions of the country, for each combination of the model’s different prices and fuel configurations (Burns & Bush, 2010).”

Now do you understand why defining the problem is complicated and half the battle? Many a marketing research effort is doomed from the start because the problem was improperly defined. Coke’s ill-fated decision to change the formula of Coca-Cola in 1985 is a case in point: Pepsi had been creeping up on Coke in terms of market share over the years as well as running a successful promotional campaign called the “Pepsi Challenge,” in which consumers were encouraged to do a blind taste test to see if they agreed that Pepsi was better. Coke spent four years researching “the problem.” Indeed, people seemed to like the taste of Pepsi better in blind taste tests. Thus, the formula for Coke was changed. But the outcry among the public was so great that the new formula didn’t last long—a matter of months—before the old formula was reinstated. Some marketing experts believe Coke incorrectly defined the problem as “How can we beat Pepsi in taste tests?” instead of “How can we gain market share against Pepsi?” (Burns & Bush, 2010)

New Coke Is It! 1985

(click to see video)

This video documents the Coca-Cola Company’s ill-fated launch of New Coke in 1985.

1985 Pepsi Commercial—“They Changed My Coke”

This video shows how Pepsi tried to capitalize on the blunder.

Step 2: Design the Research

The next step in the marketing research process is to do a research design. The research design is your “plan of attack.” It outlines what data you are going to gather and from whom, how and when you will collect the data, and how you will analyze it once it’s been obtained. Let’s look at the data you’re going to gather first.

There are two basic types of data you can gather. The first is primary data. Primary data is information you collect yourself, using hands-on tools such as interviews or surveys, specifically for the research project you’re conducting. Secondary data is data that has already been collected by someone else, or data you have already collected for another purpose. Collecting primary data is more time consuming, work intensive, and expensive than collecting secondary data. Consequently, you should always try to collect secondary data first to solve your research problem, if you can. A great deal of research on a wide variety of topics already exists. If this research contains the answer to your question, there is no need for you to replicate it. Why reinvent the wheel?

Sources of Secondary Data

Your company’s internal records are a source of secondary data. So are any data you collect as part of your marketing intelligence gathering efforts. You can also purchase syndicated research. Syndicated research is primary data that marketing research firms collect on a regular basis and sell to other companies. J.D. Power & Associates is a provider of syndicated research. The company conducts independent, unbiased surveys of customer satisfaction, product quality, and buyer behavior for various industries. The company is best known for its research in the automobile sector. One of the best-known sellers of syndicated research is the Nielsen Company, which produces the Nielsen ratings. The Nielsen ratings measure the size of television, radio, and newspaper audiences in various markets. You have probably read or heard about TV shows that get the highest (Nielsen) ratings. (Arbitron does the same thing for radio ratings.) Nielsen, along with its main competitor, Information Resources, Inc. (IRI), also sells businesses scanner-based research . Scanner-based research is information collected by scanners at checkout stands in stores. Each week Nielsen and IRI collect information on the millions of purchases made at stores. The companies then compile the information and sell it to firms in various industries that subscribe to their services. The Nielsen Company has also recently teamed up with Facebook to collect marketing research information. Via Facebook, users will see surveys in some of the spaces in which they used to see online ads (Rappeport, Gelles, 2009).

By contrast, MarketResearch.com is an example of a marketing research aggregator. A marketing research aggregator is a marketing research company that doesn’t conduct its own research and sell it. Instead, it buys research reports from other marketing research companies and then sells the reports in their entirety or in pieces to other firms. Check out MarketResearch.com’s Web site. As you will see there are a huge number of studies in every category imaginable that you can buy for relatively small amounts of money.

Figure 10.7

A screen shot of Market Research's website

Market research aggregators buy research reports from other marketing research companies and then resell them in part or in whole to other companies so they don’t have to gather primary data.

Source: http://www.marketresearch.com .

Your local library is a good place to gather free secondary data. It has searchable databases as well as handbooks, dictionaries, and books, some of which you can access online. Government agencies also collect and report information on demographics, economic and employment data, health information, and balance-of-trade statistics, among a lot of other information. The U.S. Census Bureau collects census data every ten years to gather information about who lives where. Basic demographic information about sex, age, race, and types of housing in which people live in each U.S. state, metropolitan area, and rural area is gathered so that population shifts can be tracked for various purposes, including determining the number of legislators each state should have in the U.S. House of Representatives. For the U.S. government, this is primary data. For marketing managers it is an important source of secondary data.

The Survey Research Center at the University of Michigan also conducts periodic surveys and publishes information about trends in the United States. One research study the center continually conducts is called the “Changing Lives of American Families” ( http://www.isr.umich.edu/home/news/research-update/2007-01.pdf ). This is important research data for marketing managers monitoring consumer trends in the marketplace. The World Bank and the United Nations are two international organizations that collect a great deal of information. Their Web sites contain many free research studies and data related to global markets. Table 10.1 “Examples of Primary Data Sources versus Secondary Data Sources” shows some examples of primary versus secondary data sources.

Table 10.1 Examples of Primary Data Sources versus Secondary Data Sources

Primary Data Sources	Secondary Data Sources
Interviews	Census data
Surveys	Web sites
	Publications
	Trade associations
	Syndicated research and market aggregators

Gauging the Quality of Secondary Data

When you are gathering secondary information, it’s always good to be a little skeptical of it. Sometimes studies are commissioned to produce the result a client wants to hear—or wants the public to hear. For example, throughout the twentieth century, numerous studies found that smoking was good for people’s health. The problem was the studies were commissioned by the tobacco industry. Web research can also pose certain hazards. There are many biased sites that try to fool people that they are providing good data. Often the data is favorable to the products they are trying to sell. Beware of product reviews as well. Unscrupulous sellers sometimes get online and create bogus ratings for products. See below for questions you can ask to help gauge the credibility of secondary information.

Gauging the Credibility of Secondary Data: Questions to Ask

Who gathered this information?
For what purpose?
What does the person or organization that gathered the information have to gain by doing so?
Was the information gathered and reported in a systematic manner?
Is the source of the information accepted as an authority by other experts in the field?
Does the article provide objective evidence to support the position presented?

Types of Research Design

Now let’s look specifically at the types of research designs that are utilized. By understanding different types of research designs, a researcher can solve a client’s problems more quickly and efficiently without jumping through more hoops than necessary. Research designs fall into one of the following three categories:

Exploratory research design
Descriptive research design
Causal research design (experiments)

An exploratory research design is useful when you are initially investigating a problem but you haven’t defined it well enough to do an in-depth study of it. Perhaps via your regular market intelligence, you have spotted what appears to be a new opportunity in the marketplace. You would then do exploratory research to investigate it further and “get your feet wet,” as the saying goes. Exploratory research is less structured than other types of research, and secondary data is often utilized.

One form of exploratory research is qualitative research. Qualitative research is any form of research that includes gathering data that is not quantitative, and often involves exploring questions such as why as much as what or how much . Different forms, such as depth interviews and focus group interviews, are common in marketing research.

The depth interview —engaging in detailed, one-on-one, question-and-answer sessions with potential buyers—is an exploratory research technique. However, unlike surveys, the people being interviewed aren’t asked a series of standard questions. Instead the interviewer is armed with some general topics and asks questions that are open ended, meaning that they allow the interviewee to elaborate. “How did you feel about the product after you purchased it?” is an example of a question that might be asked. A depth interview also allows a researcher to ask logical follow-up questions such as “Can you tell me what you mean when you say you felt uncomfortable using the service?” or “Can you give me some examples?” to help dig further and shed additional light on the research problem. Depth interviews can be conducted in person or over the phone. The interviewer either takes notes or records the interview.

Focus groups and case studies are often utilized for exploratory research as well. A focus group is a group of potential buyers who are brought together to discuss a marketing research topic with one another. A moderator is used to focus the discussion, the sessions are recorded, and the main points of consensus are later summarized by the market researcher. Textbook publishers often gather groups of professors at educational conferences to participate in focus groups. However, focus groups can also be conducted on the telephone, in online chat rooms, or both, using meeting software like WebEx. The basic steps of conducting a focus group are outlined below.

The Basic Steps of Conducting a Focus Group

Establish the objectives of the focus group. What is its purpose?
Identify the people who will participate in the focus group. What makes them qualified to participate? How many of them will you need and what they will be paid?
Obtain contact information for the participants and send out invitations (usually e-mails are most efficient).
Develop a list of questions.
Choose a facilitator.
Choose a location in which to hold the focus group and the method by which it will be recorded.
Conduct the focus group. If the focus group is not conducted electronically, include name tags for the participants, pens and notepads, any materials the participants need to see, and refreshments. Record participants’ responses.
Summarize the notes from the focus group and write a report for management.

A case study looks at how another company solved the problem that’s being researched. Sometimes multiple cases, or companies, are used in a study. Case studies nonetheless have a mixed reputation. Some researchers believe it’s hard to generalize, or apply, the results of a case study to other companies. Nonetheless, collecting information about companies that encountered the same problems your firm is facing can give you a certain amount of insight about what direction you should take. In fact, one way to begin a research project is to carefully study a successful product or service.

Two other types of qualitative data used for exploratory research are ethnographies and projective techniques. In an ethnography , researchers interview, observe, and often videotape people while they work, live, shop, and play. The Walt Disney Company has recently begun using ethnographers to uncover the likes and dislikes of boys aged six to fourteen, a financially attractive market segment for Disney, but one in which the company has been losing market share. The ethnographers visit the homes of boys, observe the things they have in their rooms to get a sense of their hobbies, and accompany them and their mothers when they shop to see where they go, what the boys are interested in, and what they ultimately buy. (The children get seventy-five dollars out of the deal, incidentally.) (Barnes, 2009)

Projective techniques are used to reveal information research respondents might not reveal by being asked directly. Asking a person to complete sentences such as the following is one technique:

People who buy Coach handbags __________.

(Will he or she reply with “are cool,” “are affluent,” or “are pretentious,” for example?)

KFC’s grilled chicken is ______.

Or the person might be asked to finish a story that presents a certain scenario. Word associations are also used to discern people’s underlying attitudes toward goods and services. Using a word-association technique, a market researcher asks a person to say or write the first word that comes to his or her mind in response to another word. If the initial word is “fast food,” what word does the person associate it with or respond with? Is it “McDonald’s”? If many people reply that way, and you’re conducting research for Burger King, that could indicate Burger King has a problem. However, if the research is being conducted for Wendy’s, which recently began running an advertising campaign to the effect that Wendy’s offerings are “better than fast food,” it could indicate that the campaign is working.

Completing cartoons is yet another type of projective technique. It’s similar to finishing a sentence or story, only with the pictures. People are asked to look at a cartoon such as the one shown in Figure 10.8 “Example of a Cartoon-Completion Projective Technique” . One of the characters in the picture will have made a statement, and the person is asked to fill in the empty cartoon “bubble” with how they think the second character will respond.

Figure 10.8 Example of a Cartoon-Completion Projective Technique

A cartoon of a man shaking a woman's hand saying

In some cases, your research might end with exploratory research. Perhaps you have discovered your organization lacks the resources needed to produce the product. In other cases, you might decide you need more in-depth, quantitative research such as descriptive research or causal research, which are discussed next. Most marketing research professionals advise using both types of research, if it’s feasible. On the one hand, the qualitative-type research used in exploratory research is often considered too “lightweight.” Remember earlier in the chapter when we discussed telephone answering machines and the hit TV sitcom Seinfeld ? Both product ideas were initially rejected by focus groups. On the other hand, relying solely on quantitative information often results in market research that lacks ideas.

The Stone Wheel—What One Focus Group Said

Watch the video to see a funny spoof on the usefulness—or lack of usefulness—of focus groups.

Descriptive Research

Anything that can be observed and counted falls into the category of descriptive research design. A study using a descriptive research design involves gathering hard numbers, often via surveys, to describe or measure a phenomenon so as to answer the questions of who , what , where , when , and how . “On a scale of 1–5, how satisfied were you with your service?” is a question that illustrates the information a descriptive research design is supposed to capture.

Physiological measurements also fall into the category of descriptive design. Physiological measurements measure people’s involuntary physical responses to marketing stimuli, such as an advertisement. Elsewhere, we explained that researchers have gone so far as to scan the brains of consumers to see what they really think about products versus what they say about them. Eye tracking is another cutting-edge type of physiological measurement. It involves recording the movements of a person’s eyes when they look at some sort of stimulus, such as a banner ad or a Web page. The Walt Disney Company has a research facility in Austin, Texas, that it uses to take physical measurements of viewers when they see Disney programs and advertisements. The facility measures three types of responses: people’s heart rates, skin changes, and eye movements (eye tracking) (Spangler, 2009).

Figure 10.9

A woman shows off her headgear for an eye-tracking study. The gear’s not exactly a fashion statement but . . .

lawrencegs – Google Glass – CC BY 2.0.

A strictly descriptive research design instrument—a survey, for example—can tell you how satisfied your customers are. It can’t, however, tell you why. Nor can an eye-tracking study tell you why people’s eyes tend to dwell on certain types of banner ads—only that they do. To answer “why” questions an exploratory research design or causal research design is needed (Wagner, 2007).

Causal Research

Causal research design examines cause-and-effect relationships. Using a causal research design allows researchers to answer “what if” types of questions. In other words, if a firm changes X (say, a product’s price, design, placement, or advertising), what will happen to Y (say, sales or customer loyalty)? To conduct causal research, the researcher designs an experiment that “controls,” or holds constant, all of a product’s marketing elements except one (or using advanced techniques of research, a few elements can be studied at the same time). The one variable is changed, and the effect is then measured. Sometimes the experiments are conducted in a laboratory using a simulated setting designed to replicate the conditions buyers would experience. Or the experiments may be conducted in a virtual computer setting.

You might think setting up an experiment in a virtual world such as the online game Second Life would be a viable way to conduct controlled marketing research. Some companies have tried to use Second Life for this purpose, but the results have been somewhat mixed as to whether or not it is a good medium for marketing research. The German marketing research firm Komjuniti was one of the first “real-world” companies to set up an “island” in Second Life upon which it could conduct marketing research. However, with so many other attractive fantasy islands in which to play, the company found it difficult to get Second Life residents, or players, to voluntarily visit the island and stay long enough so meaningful research could be conducted. (Plus, the “residents,” or players, in Second Life have been known to protest corporations invading their world. When the German firm Komjuniti created an island in Second Life to conduct marketing research, the residents showed up waving signs and threatening to boycott the island.) (Wagner, 2007)

Why is being able to control the setting so important? Let’s say you are an American flag manufacturer and you are working with Walmart to conduct an experiment to see where in its stores American flags should be placed so as to increase their sales. Then the terrorist attacks of 9/11 occur. In the days afterward, sales skyrocketed—people bought flags no matter where they were displayed. Obviously, the terrorist attacks in the United States would have skewed the experiment’s data.

An experiment conducted in a natural setting such as a store is referred to as a field experiment . Companies sometimes do field experiments either because it is more convenient or because they want to see if buyers will behave the same way in the “real world” as in a laboratory or on a computer. The place the experiment is conducted or the demographic group of people the experiment is administered to is considered the test market . Before a large company rolls out a product to the entire marketplace, it will often place the offering in a test market to see how well it will be received. For example, to compete with MillerCoors’ sixty-four-calorie beer MGD 64, Anheuser-Busch recently began testing its Select 55 beer in certain cities around the country (McWilliams, 2009).

Figure 10.10

Select 55 beer: Coming soon to a test market near you? (If you’re on a diet, you have to hope so!)

Martine – Le champagne – CC BY-NC 2.0.

Many companies use experiments to test all of their marketing communications. For example, the online discount retailer O.co (formerly called Overstock.com) carefully tests all of its marketing offers and tracks the results of each one. One study the company conducted combined twenty-six different variables related to offers e-mailed to several thousand customers. The study resulted in a decision to send a group of e-mails to different segments. The company then tracked the results of the sales generated to see if they were in line with the earlier experiment it had conducted that led it to make the offer.

Step 3: Design the Data-Collection Forms

If the behavior of buyers is being formally observed, and a number of different researchers are conducting observations, the data obviously need to be recorded on a standardized data-collection form that’s either paper or electronic. Otherwise, the data collected will not be comparable. The items on the form could include a shopper’s sex; his or her approximate age; whether the person seemed hurried, moderately hurried, or unhurried; and whether or not he or she read the label on products, used coupons, and so forth.

The same is true when it comes to surveying people with questionnaires. Surveying people is one of the most commonly used techniques to collect quantitative data. Surveys are popular because they can be easily administered to large numbers of people fairly quickly. However, to produce the best results, the questionnaire for the survey needs to be carefully designed.

Questionnaire Design

Most questionnaires follow a similar format: They begin with an introduction describing what the study is for, followed by instructions for completing the questionnaire and, if necessary, returning it to the market researcher. The first few questions that appear on the questionnaire are usually basic, warm-up type of questions the respondent can readily answer, such as the respondent’s age, level of education, place of residence, and so forth. The warm-up questions are then followed by a logical progression of more detailed, in-depth questions that get to the heart of the question being researched. Lastly, the questionnaire wraps up with a statement that thanks the respondent for participating in the survey and information and explains when and how they will be paid for participating. To see some examples of questionnaires and how they are laid out, click on the following link: http://cas.uah.edu/wrenb/mkt343/Project/Sample%20Questionnaires.htm .

How the questions themselves are worded is extremely important. It’s human nature for respondents to want to provide the “correct” answers to the person administering the survey, so as to seem agreeable. Therefore, there is always a hazard that people will try to tell you what you want to hear on a survey. Consequently, care needs to be taken that the survey questions are written in an unbiased, neutral way. In other words, they shouldn’t lead a person taking the questionnaire to answer a question one way or another by virtue of the way you have worded it. The following is an example of a leading question.

Don’t you agree that teachers should be paid more ?

The questions also need to be clear and unambiguous. Consider the following question:

Which brand of toothpaste do you use ?

The question sounds clear enough, but is it really? What if the respondent recently switched brands? What if she uses Crest at home, but while away from home or traveling, she uses Colgate’s Wisp portable toothpaste-and-brush product? How will the respondent answer the question? Rewording the question as follows so it’s more specific will help make the question clearer:

Which brand of toothpaste have you used at home in the past six months? If you have used more than one brand, please list each of them 1 .

Sensitive questions have to be asked carefully. For example, asking a respondent, “Do you consider yourself a light, moderate, or heavy drinker?” can be tricky. Few people want to admit to being heavy drinkers. You can “soften” the question by including a range of answers, as the following example shows:

How many alcoholic beverages do you consume in a week ?

__0–5 alcoholic beverages
__5–10 alcoholic beverages
__10–15 alcoholic beverages

Many people don’t like to answer questions about their income levels. Asking them to specify income ranges rather than divulge their actual incomes can help.

Other research question “don’ts” include using jargon and acronyms that could confuse people. “How often do you IM?” is an example. Also, don’t muddy the waters by asking two questions in the same question, something researchers refer to as a double-barreled question . “Do you think parents should spend more time with their children and/or their teachers?” is an example of a double-barreled question.

Open-ended questions , or questions that ask respondents to elaborate, can be included. However, they are harder to tabulate than closed-ended questions , or questions that limit a respondent’s answers. Multiple-choice and yes-and-no questions are examples of closed-ended questions.

Testing the Questionnaire

You have probably heard the phrase “garbage in, garbage out.” If the questions are bad, the information gathered will be bad, too. One way to make sure you don’t end up with garbage is to test the questionnaire before sending it out to find out if there are any problems with it. Is there enough space for people to elaborate on open-ended questions? Is the font readable? To test the questionnaire, marketing research professionals first administer it to a number of respondents face to face. This gives the respondents the chance to ask the researcher about questions or instructions that are unclear or don’t make sense to them. The researcher then administers the questionnaire to a small subset of respondents in the actual way the survey is going to be disseminated, whether it’s delivered via phone, in person, by mail, or online.

Getting people to participate and complete questionnaires can be difficult. If the questionnaire is too long or hard to read, many people won’t complete it. So, by all means, eliminate any questions that aren’t necessary. Of course, including some sort of monetary incentive for completing the survey can increase the number of completed questionnaires a market researcher will receive.

Step 4: Specify the Sample

Once you have created your questionnaire or other marketing study, how do you figure out who should participate in it? Obviously, you can’t survey or observe all potential buyers in the marketplace. Instead, you must choose a sample. A sample is a subset of potential buyers that are representative of your entire target market, or population being studied. Sometimes market researchers refer to the population as the universe to reflect the fact that it includes the entire target market, whether it consists of a million people, a hundred thousand, a few hundred, or a dozen. “All unmarried people over the age of eighteen who purchased Dirt Devil steam cleaners in the United States during 2011” is an example of a population that has been defined.

Obviously, the population has to be defined correctly. Otherwise, you will be studying the wrong group of people. Not defining the population correctly can result in flawed research, or sampling error. A sampling error is any type of marketing research mistake that results because a sample was utilized. One criticism of Internet surveys is that the people who take these surveys don’t really represent the overall population. On average, Internet survey takers tend to be more educated and tech savvy. Consequently, if they solely constitute your population, even if you screen them for certain criteria, the data you collect could end up being skewed.

The next step is to put together the sampling frame , which is the list from which the sample is drawn. The sampling frame can be put together using a directory, customer list, or membership roster (Wrenn et. al., 2007). Keep in mind that the sampling frame won’t perfectly match the population. Some people will be included on the list who shouldn’t be. Other people who should be included will be inadvertently omitted. It’s no different than if you were to conduct a survey of, say, 25 percent of your friends, using friends’ names you have in your cell phone. Most of your friends’ names are likely to be programmed into your phone, but not all of them. As a result, a certain degree of sampling error always occurs.

There are two main categories of samples in terms of how they are drawn: probability samples and nonprobability samples. A probability sample is one in which each would-be participant has a known and equal chance of being selected. The chance is known because the total number of people in the sampling frame is known. For example, if every other person from the sampling frame were chosen, each person would have a 50 percent chance of being selected.

A nonprobability sample is any type of sample that’s not drawn in a systematic way. So the chances of each would-be participant being selected can’t be known. A convenience sample is one type of nonprobability sample. It is a sample a researcher draws because it’s readily available and convenient to do so. Surveying people on the street as they pass by is an example of a convenience sample. The question is, are these people representative of the target market?

For example, suppose a grocery store needed to quickly conduct some research on shoppers to get ready for an upcoming promotion. Now suppose that the researcher assigned to the project showed up between the hours of 10 a.m. and 12 p.m. on a weekday and surveyed as many shoppers as possible. The problem is that the shoppers wouldn’t be representative of the store’s entire target market. What about commuters who stop at the store before and after work? Their views wouldn’t be represented. Neither would people who work the night shift or shop at odd hours. As a result, there would be a lot of room for sampling error in this study. For this reason, studies that use nonprobability samples aren’t considered as accurate as studies that use probability samples. Nonprobability samples are more often used in exploratory research.

Lastly, the size of the sample has an effect on the amount of sampling error. Larger samples generally produce more accurate results. The larger your sample is, the more data you will have, which will give you a more complete picture of what you’re studying. However, the more people surveyed or studied, the more costly the research becomes.

Statistics can be used to determine a sample’s optimal size. If you take a marketing research or statistics class, you will learn more about how to determine the optimal size.

Of course, if you hire a marketing research company, much of this work will be taken care of for you. Many marketing research companies, like ResearchNow, maintain panels of prescreened people they draw upon for samples. In addition, the marketing research firm will be responsible for collecting the data or contracting with a company that specializes in data collection. Data collection is discussed next.

Step 5: Collect the Data

As we have explained, primary marketing research data can be gathered in a number of ways. Surveys, taking physical measurements, and observing people are just three of the ways we discussed. If you’re observing customers as part of gathering the data, keep in mind that if shoppers are aware of the fact, it can have an effect on their behavior. For example, if a customer shopping for feminine hygiene products in a supermarket aisle realizes she is being watched, she could become embarrassed and leave the aisle, which would adversely affect your data. To get around problems such as these, some companies set up cameras or two-way mirrors to observe customers. Organizations also hire mystery shoppers to work around the problem. A mystery shopper is someone who is paid to shop at a firm’s establishment or one of its competitors to observe the level of service, cleanliness of the facility, and so forth, and report his or her findings to the firm.

Make Extra Money as a Mystery Shopper

Watch the YouTube video to get an idea of how mystery shopping works.

Survey data can be collected in many different ways and combinations of ways. The following are the basic methods used:

Face-to-face (can be computer aided)
Telephone (can be computer aided or completely automated)
Mail and hand delivery
E-mail and the Web

A face-to-face survey is, of course, administered by a person. The surveys are conducted in public places such as in shopping malls, on the street, or in people’s homes if they have agreed to it. In years past, it was common for researchers in the United States to knock on people’s doors to gather survey data. However, randomly collected door-to-door interviews are less common today, partly because people are afraid of crime and are reluctant to give information to strangers (McDaniel & Gates, 1998).

Nonetheless, “beating the streets” is still a legitimate way questionnaire data is collected. When the U.S. Census Bureau collects data on the nation’s population, it hand delivers questionnaires to rural households that do not have street-name and house-number addresses. And Census Bureau workers personally survey the homeless to collect information about their numbers. Face-to-face surveys are also commonly used in third world countries to collect information from people who cannot read or lack phones and computers.

A plus of face-to-face surveys is that they allow researchers to ask lengthier, more complex questions because the people being surveyed can see and read the questionnaires. The same is true when a computer is utilized. For example, the researcher might ask the respondent to look at a list of ten retail stores and rank the stores from best to worst. The same question wouldn’t work so well over the telephone because the person couldn’t see the list. The question would have to be rewritten. Another drawback with telephone surveys is that even though federal and state “do not call” laws generally don’t prohibit companies from gathering survey information over the phone, people often screen such calls using answering machines and caller ID.

Probably the biggest drawback of both surveys conducted face-to-face and administered over the phone by a person is that they are labor intensive and therefore costly. Mailing out questionnaires is costly, too, and the response rates can be rather low. Think about why that might be so: if you receive a questionnaire in the mail, it is easy to throw it in the trash; it’s harder to tell a market researcher who approaches you on the street that you don’t want to be interviewed.

By contrast, gathering survey data collected by a computer, either over the telephone or on the Internet, can be very cost-effective and in some cases free. SurveyMonkey and Zoomerang are two Web sites that will allow you to create online questionnaires, e-mail them to up to one hundred people for free, and view the responses in real time as they come in. For larger surveys, you have to pay a subscription price of a few hundred dollars. But that still can be extremely cost-effective. The two Web sites also have a host of other features such as online-survey templates you can use to create your questionnaire, a way to set up automatic reminders sent to people who haven’t yet completed their surveys, and tools you can use to create graphics to put in your final research report. To see how easy it is to put together a survey in SurveyMonkey, click on the following link: http://help.surveymonkey.com/app/tutorials/detail/a_id/423 .

Like a face-to-face survey, an Internet survey can enable you to show buyers different visuals such as ads, pictures, and videos of products and their packaging. Web surveys are also fast, which is a major plus. Whereas face-to-face and mailed surveys often take weeks to collect, you can conduct a Web survey in a matter of days or even hours. And, of course, because the information is electronically gathered it can be automatically tabulated. You can also potentially reach a broader geographic group than you could if you had to personally interview people. The Zoomerang Web site allows you to create surveys in forty different languages.

Another plus for Web and computer surveys (and electronic phone surveys) is that there is less room for human error because the surveys are administered electronically. For instance, there’s no risk that the interviewer will ask a question wrong or use a tone of voice that could mislead the respondents. Respondents are also likely to feel more comfortable inputting the information into a computer if a question is sensitive than they would divulging the information to another person face-to-face or over the phone. Given all of these advantages, it’s not surprising that the Internet is quickly becoming the top way to collect primary data. However, like mail surveys, surveys sent to people over the Internet are easy to ignore.

Lastly, before the data collection process begins, the surveyors and observers need to be trained to look for the same things, ask questions the same way, and so forth. If they are using rankings or rating scales, they need to be “on the same page,” so to speak, as to what constitutes a high ranking or a low ranking. As an analogy, you have probably had some teachers grade your college papers harder than others. The goal of training is to avoid a wide disparity between how different observers and interviewers record the data.

Figure 10.11

Training people so they know what constitutes different ratings when they are collecting data will improve the quality of the information gathered in a marketing research study.

Ricardo Rodriquez – Satisfaction survey – CC BY-NC-ND 2.0.

For example, if an observation form asks the observers to describe whether a shopper’s behavior is hurried, moderately hurried, or unhurried, they should be given an idea of what defines each rating. Does it depend on how much time the person spends in the store or in the individual aisles? How fast they walk? In other words, the criteria and ratings need to be spelled out.

Collecting International Marketing Research Data

Gathering marketing research data in foreign countries poses special challenges. However, that doesn’t stop firms from doing so. Marketing research companies are located all across the globe, in fact. Eight of the ten largest marketing research companies in the world are headquartered in the United States. However, five of these eight firms earn more of their revenues abroad than they do in the United States. There’s a reason for this: many U.S. markets were saturated, or tapped out, long ago in terms of the amount that they can grow. Coke is an example. As you learned earlier in the book, most of the Coca-Cola Company’s revenues are earned in markets abroad. To be sure, the United States is still a huge market when it comes to the revenues marketing research firms generate by conducting research in the country: in terms of their spending, American consumers fuel the world’s economic engine. Still, emerging countries with growing middle classes, such as China, India, and Brazil, are hot new markets companies want to tap.

What kind of challenges do firms face when trying to conduct marketing research abroad? As we explained, face-to-face surveys are commonly used in third world countries to collect information from people who cannot read or lack phones and computers. However, face-to-face surveys are also common in Europe, despite the fact that phones and computers are readily available. In-home surveys are also common in parts of Europe. By contrast, in some countries, including many Asian countries, it’s considered taboo or rude to try to gather information from strangers either face-to-face or over the phone. In many Muslim countries, women are forbidden to talk to strangers.

And how do you figure out whom to research in foreign countries? That in itself is a problem. In the United States, researchers often ask if they can talk to the heads of households to conduct marketing research. But in countries in which domestic servants or employees are common, the heads of households aren’t necessarily the principal shoppers; their domestic employees are (Malhotra).

Translating surveys is also an issue. Have you ever watched the TV comedians Jay Leno and David Letterman make fun of the English translations found on ethnic menus and products? Research tools such as surveys can suffer from the same problem. Hiring someone who is bilingual to translate a survey into another language can be a disaster if the person isn’t a native speaker of the language to which the survey is being translated.

One way companies try to deal with translation problems is by using back translation. When back translation is used, a native speaker translates the survey into the foreign language and then translates it back again to the original language to determine if there were gaps in meaning—that is, if anything was lost in translation. And it’s not just the language that’s an issue. If the research involves any visual images, they, too, could be a point of confusion. Certain colors, shapes, and symbols can have negative connotations in other countries. For example, the color white represents purity in many Western cultures, but in China, it is the color of death and mourning (Zouhali-Worrall, 2008). Also, look back at the cartoon-completion exercise in Figure 10.8 “Example of a Cartoon-Completion Projective Technique” . What would women in Muslim countries who aren’t allowed to converse with male sellers think of it? Chances are, the cartoon wouldn’t provide you with the information you’re seeking if Muslim women in some countries were asked to complete it.

One way marketing research companies are dealing with the complexities of global research is by merging with or acquiring marketing research companies abroad. The Nielsen Company is the largest marketing research company in the world. The firm operates in more than a hundred countries and employs more than forty thousand people. Many of its expansions have been the result of acquisitions and mergers.

Step 6: Analyze the Data

Step 6 involves analyzing the data to ensure it’s as accurate as possible. If the research is collected by hand using a pen and pencil, it’s entered into a computer. Or respondents might have already entered the information directly into a computer. For example, when Toyota goes to an event such as a car show, the automaker’s marketing personnel ask would-be buyers to complete questionnaires directly on computers. Companies are also beginning to experiment with software that can be used to collect data using mobile phones.

Once all the data is collected, the researchers begin the data cleaning , which is the process of removing data that have accidentally been duplicated (entered twice into the computer) or correcting data that have obviously been recorded wrong. A program such as Microsoft Excel or a statistical program such as Predictive Analytics Software (PASW, which was formerly known as SPSS) is then used to tabulate, or calculate, the basic results of the research, such as the total number of participants and how collectively they answered various questions. The programs can also be used to calculate averages, such as the average age of respondents, their average satisfaction, and so forth. The same can done for percentages, and other values you learned about, or will learn about, in a statistics course, such as the standard deviation, mean, and median for each question.

The information generated by the programs can be used to draw conclusions, such as what all customers might like or not like about an offering based on what the sample group liked or did not like. The information can also be used to spot differences among groups of people. For example, the research might show that people in one area of the country like the product better than people in another area. Trends to predict what might happen in the future can also be spotted.

If there are any open-ended questions respondents have elaborated upon—for example, “Explain why you like the current brand you use better than any other brand”—the answers to each are pasted together, one on top of another, so researchers can compare and summarize the information. As we have explained, qualitative information such as this can give you a fuller picture of the results of the research.

Part of analyzing the data is to see if it seems sound. Does the way in which the research was conducted seem sound? Was the sample size large enough? Are the conclusions that become apparent from it reasonable?

The two most commonly used criteria used to test the soundness of a study are (1) validity and (2) reliability. A study is valid if it actually tested what it was designed to test. For example, did the experiment you ran in Second Life test what it was designed to test? Did it reflect what could really happen in the real world? If not, the research isn’t valid. If you were to repeat the study, and get the same results (or nearly the same results), the research is said to be reliable . If you get a drastically different result if you repeat the study, it’s not reliable. The data collected, or at least some it, can also be compared to, or reconciled with, similar data from other sources either gathered by your firm or by another organization to see if the information seems on target.

Stage 7: Write the Research Report and Present Its Findings

If you end up becoming a marketing professional and conducting a research study after you graduate, hopefully you will do a great job putting the study together. You will have defined the problem correctly, chosen the right sample, collected the data accurately, analyzed it, and your findings will be sound. At that point, you will be required to write the research report and perhaps present it to an audience of decision makers. You will do so via a written report and, in some cases, a slide or PowerPoint presentation based on your written report.

The six basic elements of a research report are as follows.

Title Page . The title page explains what the report is about, when it was conducted and by whom, and who requested it.
Table of Contents . The table of contents outlines the major parts of the report, as well as any graphs and charts, and the page numbers on which they can be found.
Executive Summary . The executive summary summarizes all the details in the report in a very quick way. Many people who receive the report—both executives and nonexecutives—won’t have time to read the entire report. Instead, they will rely on the executive summary to quickly get an idea of the study’s results and what to do about those results.

Methodology and Limitations . The methodology section of the report explains the technical details of how the research was designed and conducted. The section explains, for example, how the data was collected and by whom, the size of the sample, how it was chosen, and whom or what it consisted of (e.g., the number of women versus men or children versus adults). It also includes information about the statistical techniques used to analyze the data.

Every study has errors—sampling errors, interviewer errors, and so forth. The methodology section should explain these details, so decision makers can consider their overall impact. The margin of error is the overall tendency of the study to be off kilter—that is, how far it could have gone wrong in either direction. Remember how newscasters present the presidential polls before an election? They always say, “This candidate is ahead 48 to 44 percent, plus or minus 2 percent.” That “plus or minus” is the margin of error. The larger the margin of error is, the less likely the results of the study are accurate. The margin of error needs to be included in the methodology section.

Findings . The findings section is a longer, fleshed-out version of the executive summary that goes into more detail about the statistics uncovered by the research that bolster the study’s findings. If you have related research or secondary data on hand that back up the findings, it can be included to help show the study did what it was designed to do.
Recommendations . The recommendations section should outline the course of action you think should be taken based on the findings of the research and the purpose of the project. For example, if you conducted a global market research study to identify new locations for stores, make a recommendation for the locations (Mersdorf, 2009).

As we have said, these are the basic sections of a marketing research report. However, additional sections can be added as needed. For example, you might need to add a section on the competition and each firm’s market share. If you’re trying to decide on different supply chain options, you will need to include a section on that topic.

As you write the research report, keep your audience in mind. Don’t use technical jargon decision makers and other people reading the report won’t understand. If technical terms must be used, explain them. Also, proofread the document to ferret out any grammatical errors and typos, and ask a couple of other people to proofread behind you to catch any mistakes you might have missed. If your research report is riddled with errors, its credibility will be undermined, even if the findings and recommendations you make are extremely accurate.

Many research reports are presented via PowerPoint. If you’re asked to create a slideshow presentation from the report, don’t try to include every detail in the report on the slides. The information will be too long and tedious for people attending the presentation to read through. And if they do go to the trouble of reading all the information, they probably won’t be listening to the speaker who is making the presentation.

Instead of including all the information from the study in the slides, boil each section of the report down to key points and add some “talking points” only the presenter will see. After or during the presentation, you can give the attendees the longer, paper version of the report so they can read the details at a convenient time, if they choose to.

Key Takeaway

Step 1 in the marketing research process is to define the problem. Businesses take a look at what they believe are symptoms and try to drill down to the potential causes so as to precisely define the problem. The next task for the researcher is to put into writing the research objective, or goal, the research is supposed to accomplish. Step 2 in the process is to design the research. The research design is the “plan of attack.” It outlines what data you are going to gather, from whom, how, and when, and how you’re going to analyze it once it has been obtained. Step 3 is to design the data-collection forms, which need to be standardized so the information gathered on each is comparable. Surveys are a popular way to gather data because they can be easily administered to large numbers of people fairly quickly. However, to produce the best results, survey questionnaires need to be carefully designed and pretested before they are used. Step 4 is drawing the sample, or a subset of potential buyers who are representative of your entire target market. If the sample is not correctly selected, the research will be flawed. Step 5 is to actually collect the data, whether it’s collected by a person face-to-face, over the phone, or with the help of computers or the Internet. The data-collection process is often different in foreign countries. Step 6 is to analyze the data collected for any obvious errors, tabulate the data, and then draw conclusions from it based on the results. The last step in the process, Step 7, is writing the research report and presenting the findings to decision makers.

Review Questions

Explain why it’s important to carefully define the problem or opportunity a marketing research study is designed to investigate.
Describe the different types of problems that can occur when marketing research professionals develop questions for surveys.
How does a probability sample differ from a nonprobability sample?
What makes a marketing research study valid? What makes a marketing research study reliable?
What sections should be included in a marketing research report? What is each section designed to do?

1 “Questionnaire Design,” QuickMBA , http://www.quickmba.com/marketing/research/qdesign (accessed December 14, 2009).

Barnes, B., “Disney Expert Uses Science to Draw Boy Viewers,” New York Times , April 15, 2009, http://www.nytimes.com/2009/04/14/arts/television/14boys.html?pagewanted=1&_r=1 (accessed December 14, 2009).

Burns A. and Ronald Bush, Marketing Research , 6th ed. (Upper Saddle River, NJ: Prentice Hall, 2010), 85.

Malhotra, N., Marketing Research: An Applied Approach , 6th ed. (Upper Saddle River, NJ: Prentice Hall), 764.

McDaniel, C. D. and Roger H. Gates, Marketing Research Essentials , 2nd ed. (Cincinnati: South-Western College Publishing, 1998), 61.

McWilliams, J., “A-B Puts Super-Low-Calorie Beer in Ring with Miller,” St. Louis Post-Dispatch , August 16, 2009, http://www.stltoday.com/business/next-matchup-light-weights-a-b-puts-super-low-calorie/article_47511bfe-18ca-5979-bdb9-0526c97d4edf.html (accessed April 13, 2012).

Mersdorf, S., “How to Organize Your Next Survey Report,” Cvent , August 24, 2009, http://survey.cvent.com/blog/cvent-survey/0/0/how-to-organize-your-next-survey-report (accessed December 14, 2009).

Rappeport A. and David Gelles, “Facebook to Form Alliance with Nielsen,” Financial Times , September 23, 2009, 16.

Spangler, T., “Disney Lab Tracks Feelings,” Multichannel News 30, no. 30 (August 3, 2009): 26.

Wagner, J., “Marketing in Second Life Doesn’t Work…Here Is Why!” GigaOM , April 4, 2007, http://gigaom.com/2007/04/04/3-reasons-why-marketing-in-second-life-doesnt-work (accessed December 14, 2009).

Wrenn, B., Robert E. Stevens, and David L. Loudon, Marketing Research: Text and Cases , 2nd ed. (Binghamton, NY: Haworth Press, 2007), 180.

Zouhali-Worrall, M., “Found in Translation: Avoiding Multilingual Gaffes,” CNNMoney.com , July 14, 2008, http://money.cnn.com/2008/07/07/smallbusiness/language_translation.fsb/index.htm (accessed December 14, 2009).

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Starting Market Research: Identify Your Marketing Research Problem

How and why to create a problem statement for your market research

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Market research attempts to fill a gap in your knowledge about your business, market, or customers. Before starting, however, you have to articulate your research problem with a statement of the problem you want to solve or the question you want to answer.

Why a Problem Statement Is Useful in Market Research

Before beginning any market research, you need to define the problem that the research will attempt to address, including any decision alternatives and research objectives. Your problem statement will guide every step of your market research. It articulates what you want to accomplish with your research, which guides the type of research you need to conduct. Open research is qualitative and helps you understand a phenomenon, opinion, or set of behaviors. Closed research is quantitative and seeks to identify the relationships among a set of variables.

Once you know the type of research you need, you can decide on your research methods, objectives, and time frame. Knowing these will help you gather the resources you need and begin creating a research plan.

How to Identify Market Research Questions

Market research generally begins with research questions from internal clients or from your marketing department about how to achieve specific marketing objectives or understand consumer behavior.

Using these marketing questions will help you identify your knowledge gaps and create an appropriate research problem statement, which will guide the scope of your research.

Compile a list of all the questions your marketing staff or researchers have relating to a specific topic or situation.
Look for categories under which the questions can be grouped.
Create subcategories with these groups.
Identify an overarching question that can define the missing knowledge for each subcategory.
Try to find a single question that unites all the subcategories.

Identifying the proper scope of your problem statement can be challenging. Define the problem too narrowly and you may discover that your market researcher has missed valuable information or failed to consider other important variables. Define the problem too broadly and researchers may waste time and money collecting unnecessary information.

If you can identify a single question that brings together your subcategories, that becomes the first draft of your problem statement. If there is not a single question unifying them, you may need multiple rounds of market research , each with its own problem statement, to address each subcategory individually.

Using Your Market Research Problem Statement

There may be a specific decision for your marketing, products, budget, or brand that an answer to your research question will help you make. In that case, you can use backward mapping to identify the appropriate priorities and aims of your research.

Other times, your problem statement may be more open-ended, which means your research can be exploratory, descriptive, or causal rather than decision-mapped.

Exploratory market research seeks to provide insights into the nature of a marketing problem, come up with new ideas, or suggest a range of possible solutions to be considered. It can help you identify new decisions or options that you didn't know were available to your business.
Descriptive market research attempts to determine the magnitude of a marketing variable. This information can be used to identify new opportunities for your business or market, as well as better understand the needs of your target customers.
Causal market research examines a cause-and-effect relationship. This research is often closed-ended. It can be applied to specific situations or used to identify trade-offs that your business or customers may have to make in the future.

Keep in mind that qualitative research often builds on itself. You may need to alter your focus or refine your research problem once data collection is underway.

A change in the problem statement does not necessarily reflect poor planning. More often, it indicates that your research has been successful and your team has identified where to focus the next round of research in order to completely answer your research questions.

How to Share Market Research Findings With Research Presentations
Market Research 101: Develop the Research Plan
Blue Ocean Tools Support Relevant Market Research
The History of Procter & Gamble's Brand Strategy
How Starbucks Uses Market Research to Propel the Brand
The Difference Between Primary and Secondary Research
What Is Cognitive Theory in Market Research?
Developing the Overall Research Plan
How to Calculate the Lifetime Value of a Customer (LTV)
What Is Market Research?
Using Marketing Information Systems (MIS)
What Is an MROC?
How to Determine Customer Satisfaction
How to Analyze Interview Data and Survey Responses
Learn About Syndicated Market Research
Deductive and Inductive Market Research

6.3 Steps in a Successful Marketing Research Plan

Learning outcomes.

By the end of this section, you will be able to:

1 Identify and describe the steps in a marketing research plan.
2 Discuss the different types of data research.
3 Explain how data is analyzed.
4 Discuss the importance of effective research reports.

Define the Problem

There are seven steps to a successful marketing research project (see Figure 6.3 ). Each step will be explained as we investigate how a marketing research project is conducted.

The first step, defining the problem, is often a realization that more information is needed in order to make a data-driven decision. Problem definition is the realization that there is an issue that needs to be addressed. An entrepreneur may be interested in opening a small business but must first define the problem that is to be investigated. A marketing research problem in this example is to discover the needs of the community and also to identify a potentially successful business venture.

Many times, researchers define a research question or objectives in this first step. Objectives of this research study could include: identify a new business that would be successful in the community in question, determine the size and composition of a target market for the business venture, and collect any relevant primary and secondary data that would support such a venture. At this point, the definition of the problem may be “Why are cat owners not buying our new cat toy subscription service?”

Additionally, during this first step we would want to investigate our target population for research. This is similar to a target market, as it is the group that comprises the population of interest for the study. In order to have a successful research outcome, the researcher should start with an understanding of the problem in the current situational environment.

Develop the Research Plan

Step two is to develop the research plan. What type of research is necessary to meet the established objectives of the first step? How will this data be collected? Additionally, what is the time frame of the research and budget to consider? If you must have information in the next week, a different plan would be implemented than in a situation where several months were allowed. These are issues that a researcher should address in order to meet the needs identified.

Research is often classified as coming from one of two types of data: primary and secondary. Primary data is unique information that is collected by the specific researcher with the current project in mind. This type of research doesn’t currently exist until it is pulled together for the project. Examples of primary data collection include survey, observation, experiment, or focus group data that is gathered for the current project.

Secondary data is any research that was completed for another purpose but can be used to help inform the research process. Secondary data comes in many forms and includes census data, journal articles, previously collected survey or focus group data of related topics, and compiled company data. Secondary data may be internal, such as the company’s sales records for a previous quarter, or external, such as an industry report of all related product sales. Syndicated data , a type of external secondary data, is available through subscription services and is utilized by many marketers. As you can see in Table 6.1 , primary and secondary data features are often opposite—the positive aspects of primary data are the negative side of secondary data.

There are four research types that can be used: exploratory, descriptive, experimental, and ethnographic research designs (see Figure 6.4 ). Each type has specific formats of data that can be collected. Qualitative research can be shared through words, descriptions, and open-ended comments. Qualitative data gives context but cannot be reduced to a statistic. Qualitative data examples are categorical and include case studies, diary accounts, interviews, focus groups, and open-ended surveys. By comparison, quantitative data is data that can be reduced to number of responses. The number of responses to each answer on a multiple-choice question is quantitative data. Quantitative data is numerical and includes things like age, income, group size, and height.

Exploratory research is usually used when additional general information in desired about a topic. When in the initial steps of a new project, understanding the landscape is essential, so exploratory research helps the researcher to learn more about the general nature of the industry. Exploratory research can be collected through focus groups, interviews, and review of secondary data. When examining an exploratory research design, the best use is when your company hopes to collect data that is generally qualitative in nature. 7

For instance, if a company is considering a new service for registered users but is not quite sure how well the new service will be received or wants to gain clarity of exactly how customers may use a future service, the company can host a focus group. Focus groups and interviews will be examined later in the chapter. The insights collected during the focus group can assist the company when designing the service, help to inform promotional campaign options, and verify that the service is going to be a viable option for the company.

Descriptive research design takes a bigger step into collection of data through primary research complemented by secondary data. Descriptive research helps explain the market situation and define an “opinion, attitude, or behavior” of a group of consumers, employees, or other interested groups. 8 The most common method of deploying a descriptive research design is through the use of a survey. Several types of surveys will be defined later in this chapter. Descriptive data is quantitative in nature, meaning the data can be distilled into a statistic, such as in a table or chart.

Again, descriptive data is helpful in explaining the current situation. In the opening example of LEGO , the company wanted to describe the situation regarding children’s use of its product. In order to gather a large group of opinions, a survey was created. The data that was collected through this survey allowed the company to measure the existing perceptions of parents so that alterations could be made to future plans for the company.

Experimental research , also known as causal research , helps to define a cause-and-effect relationship between two or more factors. This type of research goes beyond a correlation to determine which feature caused the reaction. Researchers generally use some type of experimental design to determine a causal relationship. An example is A/B testing, a situation where one group of research participants, group A, is exposed to one treatment and then compared to the group B participants, who experience a different situation. An example might be showing two different television commercials to a panel of consumers and then measuring the difference in perception of the product. Another example would be to have two separate packaging options available in different markets. This research would answer the question “Does one design sell better than the other?” Comparing that to the sales in each market would be part of a causal research study. 9

The final method of collecting data is through an ethnographic design. Ethnographic research is conducted in the field by watching people interact in their natural environment. For marketing research, ethnographic designs help to identify how a product is used, what actions are included in a selection, or how the consumer interacts with the product. 10

Examples of ethnographic research would be to observe how a consumer uses a particular product, such as baking soda. Although many people buy baking soda, its uses are vast. So are they using it as a refrigerator deodorizer, a toothpaste, to polish a belt buckle, or to use in baking a cake?

Select the Data Collection Method

Data collection is the systematic gathering of information that addresses the identified problem. What is the best method to do that? Picking the right method of collecting data requires that the researcher understand the target population and the design picked in the previous step. There is no perfect method; each method has both advantages and disadvantages, so it’s essential that the researcher understand the target population of the research and the research objectives in order to pick the best option.

Sometimes the data desired is best collected by watching the actions of consumers. For instance, how many cars pass a specific billboard in a day? What website led a potential customer to the company’s website? When are consumers most likely to use the snack vending machines at work? What time of day has the highest traffic on a social media post? What is the most streamed television program this week? Observational research is the collecting of data based on actions taken by those observed. Many data observations do not require the researched individuals to participate in the data collection effort to be highly valuable. Some observation requires an individual to watch and record the activities of the target population through personal observations .

Unobtrusive observation happens when those being observed aren’t aware that they are being watched. An example of an unobtrusive observation would be to watch how shoppers interact with a new stuffed animal display by using a one-way mirror. Marketers can identify which products were handled more often while also determining which were ignored.

Other methods can use technology to collect the data instead. Instances of mechanical observation include the use of vehicle recorders, which count the number of vehicles that pass a specific location. Computers can also assess the number of shoppers who enter a store, the most popular entry point for train station commuters, or the peak time for cars to park in a parking garage.

When you want to get a more in-depth response from research participants, one method is to complete a one-on-one interview . One-on-one interviews allow the researcher to ask specific questions that match the respondent’s unique perspective as well as follow-up questions that piggyback on responses already completed. An interview allows the researcher to have a deeper understanding of the needs of the respondent, which is another strength of this type of data collection. The downside of personal interviews it that a discussion can be very time-consuming and results in only one respondent’s answers. Therefore, in order to get a large sample of respondents, the interview method may not be the most efficient method.

Taking the benefits of an interview and applying them to a small group of people is the design of a focus group . A focus group is a small number of people, usually 8 to 12, who meet the sample requirements. These individuals together are asked a series of questions where they are encouraged to build upon each other’s responses, either by agreeing or disagreeing with the other group members. Focus groups are similar to interviews in that they allow the researcher, through a moderator, to get more detailed information from a small group of potential customers (see Figure 6.5 ).

Link to Learning

Focus groups.

Focus groups are a common method for gathering insights into consumer thinking and habits. Companies will use this information to develop or shift their initiatives. The best way to understand a focus group is to watch a few examples or explanations. TED-Ed has this video that explains how focus groups work.

You might be asking when it is best to use a focus group or a survey. Learn the differences, the pros and cons of each, and the specific types of questions you ask in both situations in this article .

Preparing for a focus group is critical to success. It requires knowing the material and questions while also managing the group of people. Watch this video to learn more about how to prepare for a focus group and the types of things to be aware of.

One of the benefits of a focus group over individual interviews is that synergy can be generated when a participant builds on another’s ideas. Additionally, for the same amount of time, a researcher can hear from multiple respondents instead of just one. 11 Of course, as with every method of data collection, there are downsides to a focus group as well. Focus groups have the potential to be overwhelmed by one or two aggressive personalities, and the format can discourage more reserved individuals from speaking up. Finally, like interviews, the responses in a focus group are qualitative in nature and are difficult to distill into an easy statistic or two.

Combining a variety of questions on one instrument is called a survey or questionnaire . Collecting primary data is commonly done through surveys due to their versatility. A survey allows the researcher to ask the same set of questions of a large group of respondents. Response rates of surveys are calculated by dividing the number of surveys completed by the total number attempted. Surveys are flexible and can collect a variety of quantitative and qualitative data. Questions can include simplified yes or no questions, select all that apply, questions that are on a scale, or a variety of open-ended types of questions. There are four types of surveys (see Table 6.2 ) we will cover, each with strengths and weaknesses defined.

Let’s start off with mailed surveys —surveys that are sent to potential respondents through a mail service. Mailed surveys used to be more commonly used due to the ability to reach every household. In some instances, a mailed survey is still the best way to collect data. For example, every 10 years the United States conducts a census of its population (see Figure 6.6 ). The first step in that data collection is to send every household a survey through the US Postal Service (USPS). The benefit is that respondents can complete and return the survey at their convenience. The downside of mailed surveys are expense and timeliness of responses. A mailed survey requires postage, both when it is sent to the recipient and when it is returned. That, along with the cost of printing, paper, and both sending and return envelopes, adds up quickly. Additionally, physically mailing surveys takes time. One method of reducing cost is to send with bulk-rate postage, but that slows down the delivery of the survey. Also, because of the convenience to the respondent, completed surveys may be returned several weeks after being sent. Finally, some mailed survey data must be manually entered into the analysis software, which can cause delays or issues due to entry errors.

Phone surveys are completed during a phone conversation with the respondent. Although the traditional phone survey requires a data collector to talk with the participant, current technology allows for computer-assisted voice surveys or surveys to be completed by asking the respondent to push a specific button for each potential answer. Phone surveys are time intensive but allow the respondent to ask questions and the surveyor to request additional information or clarification on a question if warranted. Phone surveys require the respondent to complete the survey simultaneously with the collector, which is a limitation as there are restrictions for when phone calls are allowed. According to Telephone Consumer Protection Act , approved by Congress in 1991, no calls can be made prior to 8:00 a.m. or after 9:00 p.m. in the recipient’s time zone. 12 Many restrictions are outlined in this original legislation and have been added to since due to ever-changing technology.

In-person surveys are when the respondent and data collector are physically in the same location. In-person surveys allow the respondent to share specific information, ask questions of the surveyor, and follow up on previous answers. Surveys collected through this method can take place in a variety of ways: through door-to-door collection, in a public location, or at a person’s workplace. Although in-person surveys are time intensive and require more labor to collect data than some other methods, in some cases it’s the best way to collect the required data. In-person surveys conducted through a door-to-door method is the follow-up used for the census if respondents do not complete the mailed survey. One of the downsides of in-person surveys is the reluctance of potential respondents to stop their current activity and answer questions. Furthermore, people may not feel comfortable sharing private or personal information during a face-to-face conversation.

Electronic surveys are sent or collected through digital means and is an opportunity that can be added to any of the above methods as well as some new delivery options. Surveys can be sent through email, and respondents can either reply to the email or open a hyperlink to an online survey (see Figure 6.7 ). Additionally, a letter can be mailed that asks members of the survey sample to log in to a website rather than to return a mailed response. Many marketers now use links, QR codes, or electronic devices to easily connect to a survey. Digitally collected data has the benefit of being less time intensive and is often a more economical way to gather and input responses than more manual methods. A survey that could take months to collect through the mail can be completed within a week through digital means.

Design the Sample

Although you might want to include every possible person who matches your target market in your research, it’s often not a feasible option, nor is it of value. If you did decide to include everyone, you would be completing a census of the population. Getting everyone to participate would be time-consuming and highly expensive, so instead marketers use a sample , whereby a portion of the whole is included in the research. It’s similar to the samples you might receive at the grocery store or ice cream shop; it isn’t a full serving, but it does give you a good taste of what the whole would be like.

So how do you know who should be included in the sample? Researchers identify parameters for their studies, called sample frames . A sample frame for one study may be college students who live on campus; for another study, it may be retired people in Dallas, Texas, or small-business owners who have fewer than 10 employees. The individual entities within the sampling frame would be considered a sampling unit . A sampling unit is each individual respondent that would be considered as matching the sample frame established by the research. If a researcher wants businesses to participate in a study, then businesses would be the sampling unit in that case.

The number of sampling units included in the research is the sample size . Many calculations can be conducted to indicate what the correct size of the sample should be. Issues to consider are the size of the population, the confidence level that the data represents the entire population, the ease of accessing the units in the frame, and the budget allocated for the research.

There are two main categories of samples: probability and nonprobability (see Figure 6.8 ). Probability samples are those in which every member of the sample has an identified likelihood of being selected. Several probability sample methods can be utilized. One probability sampling technique is called a simple random sample , where not only does every person have an identified likelihood of being selected to be in the sample, but every person also has an equal chance of exclusion. An example of a simple random sample would be to put the names of all members of a group into a hat and simply draw out a specific number to be included. You could say a raffle would be a good example of a simple random sample.

Another probability sample type is a stratified random sample , where the population is divided into groups by category and then a random sample of each category is selected to participate. For instance, if you were conducting a study of college students from your school and wanted to make sure you had all grade levels included, you might take the names of all students and split them into different groups by grade level—freshman, sophomore, junior, and senior. Then, from those categories, you would draw names out of each of the pools, or strata.

A nonprobability sample is a situation in which each potential member of the sample has an unknown likelihood of being selected in the sample. Research findings that are from a nonprobability sample cannot be applied beyond the sample. Several examples of nonprobability sampling are available to researchers and include two that we will look at more closely: convenience sampling and judgment sampling.

The first nonprobability sampling technique is a convenience sample . Just like it sounds, a convenience sample is when the researcher finds a group through a nonscientific method by picking potential research participants in a convenient manner. An example might be to ask other students in a class you are taking to complete a survey that you are doing for a class assignment or passing out surveys at a basketball game or theater performance.

A judgment sample is a type of nonprobability sample that allows the researcher to determine if they believe the individual meets the criteria set for the sample frame to complete the research. For instance, you may be interested in researching mothers, so you sit outside a toy store and ask an individual who is carrying a baby to participate.

Collect the Data

Now that all the plans have been established, the instrument has been created, and the group of participants has been identified, it is time to start collecting data. As explained earlier in this chapter, data collection is the process of gathering information from a variety of sources that will satisfy the research objectives defined in step one. Data collection can be as simple as sending out an email with a survey link enclosed or as complex as an experiment with hundreds of consumers. The method of collection directly influences the length of this process. Conducting personal interviews or completing an experiment, as previously mentioned, can add weeks or months to the research process, whereas sending out an electronic survey may allow a researcher to collect the necessary data in a few days. 13

Analyze and Interpret the Data

Once the data has been collected, the process of analyzing it may begin. Data analysis is the distillation of the information into a more understandable and actionable format. The analysis itself can take many forms, from the use of basic statistics to a more comprehensive data visualization process. First, let’s discuss some basic statistics that can be used to represent data.

The first is the mean of quantitative data. A mean is often defined as the arithmetic average of values. The formula is:

A common use of the mean calculation is with exam scores. Say, for example, you have earned the following scores on your marketing exams: 72, 85, 68, and 77. To find the mean, you would add up the four scores for a total of 302. Then, in order to generate a mean, that number needs to be divided by the number of exam scores included, which is 4. The mean would be 302 divided by 4, for a mean test score of 75.5. Understanding the mean can help to determine, with one number, the weight of a particular value.

Another commonly used statistic is median. The median is often referred to as the middle number. To generate a median, all the numeric answers are placed in order, and the middle number is the median. Median is a common statistic when identifying the income level of a specific geographic region. 14 For instance, the median household income for Albuquerque, New Mexico, between 2015 and 2019 was $52,911. 15 In this case, there are just as many people with an income above the amount as there are below.

Mode is another statistic that is used to represent data of all types, as it can be used with quantitative or qualitative data and represents the most frequent answer. Eye color, hair color, and vehicle color can all be presented with a mode statistic. Additionally, some researchers expand on the concept of mode and present the frequency of all responses, not just identifying the most common response. Data such as this can easily be presented in a frequency graph, 16 such as the one in Figure 6.9 .

Additionally, researchers use other analyses to represent the data rather than to present the entirety of each response. For example, maybe the relationship between two values is important to understand. In this case, the researcher may share the data as a cross tabulation (see Figure 6.10 ). Below is the same data as above regarding social media use cross tabulated with gender—as you can see, the data is more descriptive when you can distinguish between the gender identifiers and how much time is spent per day on social media.

Not all data can be presented in a graphical format due to the nature of the information. Sometimes with qualitative methods of data collection, the responses cannot be distilled into a simple statistic or graph. In that case, the use of quotations, otherwise known as verbatims , can be used. These are direct statements presented by the respondents. Often you will see a verbatim statement when reading a movie or book review. The critic’s statements are used in part or in whole to represent their feelings about the newly released item.

Infographics

As they say, a picture is worth a thousand words. For this reason, research results are often shown in a graphical format in which data can be taken in quickly, called an infographic .

Check out this infographic on what components make for a good infographic. As you can see, a good infographic needs four components: data, design, a story, and the ability to share it with others. Without all four pieces, it is not as valuable a resource as it could be. The ultimate infographic is represented as the intersection of all four.

Infographics are particularly advantageous online. Refer to this infographic on why they are beneficial to use online .

Prepare the Research Report

The marketing research process concludes by sharing the generated data and makes recommendations for future actions. What starts as simple data must be interpreted into an analysis. All information gathered should be conveyed in order to make decisions for future marketing actions. One item that is often part of the final step is to discuss areas that may have been missed with the current project or any area of further study identified while completing it. Without the final step of the marketing research project, the first six steps are without value. It is only after the information is shared, through a formal presentation or report, that those recommendations can be implemented and improvements made. The first six steps are used to generate information, while the last is to initiate action. During this last step is also when an evaluation of the process is conducted. If this research were to be completed again, how would we do it differently? Did the right questions get answered with the survey questions posed to the respondents? Follow-up on some of these key questions can lead to additional research, a different study, or further analysis of data collected.

Methods of Quantifying Marketing Research

One of the ways of sharing information gained through marketing research is to quantify the research . Quantifying the research means to take a variety of data and compile into a quantity that is more easily understood. This is a simple process if you want to know how many people attended a basketball game, but if you want to quantify the number of students who made a positive comment on a questionnaire, it can be a little more complicated. Researchers have a variety of methods to collect and then share these different scores. Below are some of the most common types used in business.

Is a customer aware of a product, brand, or company? What is meant by awareness? Awareness in the context of marketing research is when a consumer is familiar with the product, brand, or company. It does not assume that the consumer has tried the product or has purchased it. Consumers are just aware. That is a measure that many businesses find valuable. There are several ways to measure awareness. For instance, the first type of awareness is unaided awareness . This type of awareness is when no prompts for a product, brand, or company are given. If you were collecting information on fast-food restaurants, you might ask a respondent to list all the fast-food restaurants that serve a chicken sandwich. Aided awareness would be providing a list of products, brands, or companies and the respondent selects from the list. For instance, if you give a respondent a list of fast-food restaurants and ask them to mark all the locations with a chicken sandwich, you are collecting data through an aided method. Collecting these answers helps a company determine how the business location compares to those of its competitors. 17

Customer Satisfaction (CSAT)

Have you ever been asked to complete a survey at the end of a purchase? Many businesses complete research on buying, returning, or other customer service processes. A customer satisfaction score , also known as CSAT, is a measure of how satisfied customers are with the product, brand, or service. A CSAT score is usually on a scale of 0 to 100 percent. 18 But what constitutes a “good” CSAT score? Although what is identified as good can vary by industry, normally anything in the range from 75 to 85 would be considered good. Of course, a number higher than 85 would be considered exceptional. 19

Customer Acquisition Cost (CAC) and Customer Effort Score (CES)

Other metrics often used are a customer acquisition cost (CAC) and customer effort score (CES). How much does it cost a company to gain customers? That’s the purpose of calculating the customer acquisition cost. To calculate the customer acquisition cost , a company would need to total all expenses that were accrued to gain new customers. This would include any advertising, public relations, social media postings, etc. When a total cost is determined, it is divided by the number of new customers gained through this campaign.

The final score to discuss is the customer effort score , also known as a CES. The CES is a “survey used to measure the ease of service experience with an organization.” 20 Companies that are easy to work with have a better CES than a company that is notorious for being difficult. An example would be to ask a consumer about the ease of making a purchase online by incorporating a one-question survey after a purchase is confirmed. If a number of responses come back negative or slightly negative, the company will realize that it needs to investigate and develop a more user-friendly process.

Knowledge Check

It’s time to check your knowledge on the concepts presented in this section. Refer to the Answer Key at the end of the book for feedback.

Defining the problem
Developing the research plan
Selecting a data collection method
Designing the sample
you are able to send it to all households in an area
it is inexpensive
responses are automatically loaded into the software
the data comes in quickly
Primary data
Secondary data
Secondary and primary data
Professional data
It shows how respondents answered two variables in relation to each other and can help determine patterns by different groups of respondents.
By presenting the data in the form of a picture, the information is easier for the reader to understand.
It is an easy way to see how often one answer is selected by the respondents.
This analysis can used to present interview or focus group data.

This book may not be used in the training of large language models or otherwise be ingested into large language models or generative AI offerings without OpenStax's permission.

Want to cite, share, or modify this book? This book uses the Creative Commons Attribution License and you must attribute OpenStax.

Access for free at https://openstax.org/books/principles-marketing/pages/1-unit-introduction

Authors: Dr. Maria Gomez Albrecht, Dr. Mark Green, Linda Hoffman
Publisher/website: OpenStax
Book title: Principles of Marketing
Publication date: Jan 25, 2023
Location: Houston, Texas
Book URL: https://openstax.org/books/principles-marketing/pages/1-unit-introduction
Section URL: https://openstax.org/books/principles-marketing/pages/6-3-steps-in-a-successful-marketing-research-plan

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Marketing

Defining the Market Research Problems

Market research companies have to overcome market research challenges to provide sound information and insights that drive the client company’s decision making.

Market research can only be useful when the respondents are engaged and honestly answer the client’s questions. Understanding the problems in conducting market research and methods to overcome them leads to better outcomes.

Good market research data helps the client make the right decisions. Optimal respondent engagement is vital to good quality market research responses. Stating the market research problem well ensures that the client obtains the data that answers their queries.

Problems In Conducting Market Research

Market research is a vital method by which companies listen to what their target audience has to say. If companies do not perform market research the only feedback that they will be getting from their customers is negative feedback. This is because people are more likely to contact a company to complain than for any other purpose.

Market research is also a means to gauge the opinions of potential customers and the target demographic. It guides both marketings as well as product development in an organization.

"Marketing without data is like driving with your eyes closed." - Dan Zarrella

1. Getting Access To Participants That Are Engaged In The Research

The respondent to a survey must be focused and interested in the questions that are being asked. The responses should be accurate and timely. This focus, interest, timeliness, and accuracy are called participant engagement. It is what prevents the respondent from randomly clicking through answers instead of answering them. Good participant engagement is vital to the quality of data that is collected from a survey.

One of the most common ways to measure participant engagement is to measure the time taken to answer the questions. A participant who zooms through the questions sooner than it takes to read the question is not optimally engaged. A participant should take enough time to read and comprehend the question before answering.

2. Respondents That Make Sense To The Research

Market research is only useful when the people who are surveyed are of the right demography. Properly defining the target audience is a market research problem that can be solved with forethought.

A market researcher should define the attributes of the target audience such as age, gender, location, income, education, job, marital status, ethnicity, etc. The strategy of the market research should then be tailored to target the right audience. When the respondents that the market research attracts are of an irrelevant demographic it defeats the purpose of the entire exercise.

“Whoever understands the customer best, wins.” - Mike Gospe

3. How To Choose What Is Important And What Is Not

Market research is meaningful only when the market research company uses multiple and holistic data sources. The data should be in the proper context and have meaning to the study. All too often, the problem in market research is too much data in answer to ‘What is a market research problem you are facing?’.

When you have too much data, the quality and relevance of the data come into question. Proper research design , processes, and methodology to manage, analyze and visualize big data are essential to a market research company.

“The goal is to transform data into information, and information into insight.” - Carly Fiorina

The digital transformation has changed the level of interaction between a client company and its customers. Companies engage with their customers on social media, apps, customer support , and online communities. They have direct access to customers and their ongoing relationship builds trust. This is a personal relationship as opposed to the impersonal approach of a market researcher with the target audience.

Market research requires that the researcher have access to the target group. This involves an impersonal relationship that maintains privacy. It is becoming increasingly difficult for market research companies to have the same level of access and engagement with customers or target customers of a company.

Market researchers have to find a way to engage with and excite their target audience so that they are relaxed and willing to share the required answers to questions. They should build a feel-good relationship to have a willing and engaged pool of respondents.‍

Managing Market Research Challenges

To increase levels of engagement in a market study, market research companies have devised newer strategies to attract and keep an audience. This includes creative surveys, rewards, and the use of technology to counteract the problems in conducting market research. One market research problem example could even be finding what rewards would be preferred by the target group.

1. When it comes to variety, it’s more the merrier

The fact that people like variety applies equally to ice cream as well as market research. When questions are similar and monotonous it may lead to a lack of interest. Making the question format varied is a simple yet effective way to keep the respondent engaged. You can also add a little humour to the questions. Make them more casual and out of the way for maximum impact. The more creative and catchy the survey is the better its response.

When a survey is memorable and interesting, the respondent will be willing to answer more surveys from the same market researcher in the future.

2. Thinking big with small attention spans

Attention spans are getting shorter. Survey as short as possible. The fewer the questions that are asked the better the attention and connection to the respondents. A market research survey must carefully weigh the necessity of every question that is asked.

Too many irrelevant questions stress the respondents and do not add any meaning or value to the market research problem. The shorter the time taken to answer the questions, the less respondent fatigue the survey faces.

3. An optimized survey is an amazing one

Most of the surveys that are being taken are now through digital mode. People use smart devices more than ever. So, your survey should be equally attractive on a computer screen as well as a phone or tablet screen.

The optimization of the survey can also be visual to appeal to the people who are being questioned. This includes the colour, images, language, and humour that is specific and relevant to the target group.

4. Rewards are the real game-changer

Rewarding respondents for their time and effort is on the upswing. This is to encourage people to be more willing to take a survey. The rewards that are given can be monetary or non-monetary. They are usually tailored to the preferences of the target audience. It is vital that the reward that is offered be attractive and relevant to the target group.

For example, a music-related survey could offer discounts on music or free merchandise directly related to the type of music that they would prefer. While physical gifts and souvenirs can be given, they also include the cost and logistics of delivering them. Coupons and vouchers are easier to deliver to the respondents.

One of the easiest and most attractive incentives is to use a platform such as Plum that offers a range of options. You can offer a basket of different incentives that appeal to many different types of people. The type and size of the incentive that is offered must be decided on based on how difficult the questions are and how much time and effort they take to answer.

The incentive should be attractive and relevant to the survey. Consistency in the reward pattern will ensure that the respondents are confident of the benefit that they will receive after the survey. Rewards that are instant and easy to redeem are the most memorable and preferred.

5. Stacking up on the right tech

Many tools are available and many are being released. A market analysis company should be updated on the latest developments in available technology. Not all tech tools live up to their marketing.

A market research company must be able to select the right technology and tools for the right job. The right reward programs should also be chosen for optimum results. Market researchers can use technology to automate and personalize their reward and incentive programs.

6. Stating the research problem and objectives

The quality and usability of a market research report depend on the right market research problem statement. The market research problem statement guides the research objectives as well as the direction and flow of the market analysis. It should be unambiguous.

Market Research Problem Statement

What is a market research problem.

The market research problem is the reason that the market research process is being conducted. It defines the research objectives, how the study is going to be conducted, what marketing metrics should be measured, and the conclusion that is expected as a result of the market research study. When the market research problem is vague or misinterpreted, the entire market study and its results will be a wasted exercise.

“Listening is hearing the needs of the customer, understanding those needs and making sure the company recognises the opportunity they present.” - Frank Eliason

Defining The Market Research Problem

The first part of the market research problem definition is to establish the context or background of the problem. This helps understand the need for the research and the issues that drive it. The next step is to clearly and unambiguously define the market research problem and justify the need for the market study. The third component of a good market research problem then suggests the methodology and types of data and sources that will be required.

The scope of the market research problem envisions the desired outcome of the study and how the results could be actionable. Many problems in conducting market research will be avoided if one correctly understands what is a market research problem. Defining the problem statement and research questions is vital to the success of the research challenge and market research.

Market Research Problem Example

Some market research problem example questions are:

What is the market size of a target market?
I am planning to open a store in the XYZ location. How many other competitors are located within walking distance from that area?
What are the most popular products or services in the XYZ category?
Which colour should our company website be?
What is the most wanted feature in my product or service category?
Would my best selling product or service do well in a particular region or country?

It’s quite a challenge to stay on top of the latest trends and improvements in technology. However, this can be solved by identifying the accurate problem statements and picking out the right metrics for market analysis, ensuring that the clients’ questions are answered accurately.

As for the problem of finding the right respondents and keeping them engaged, rewards and incentives are effective in getting quality outputs from the activity. The incentives can be monetary or non-monetary, and they must be quick to redeem, flexible, and appealing, leading to an engaged survey base and high-quality data from your next marketing campaign.

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Educational resources and simple solutions for your research journey

What is a Research Problem? Characteristics, Types, and Examples

A research problem is a gap in existing knowledge, a contradiction in an established theory, or a real-world challenge that a researcher aims to address in their research. It is at the heart of any scientific inquiry, directing the trajectory of an investigation. The statement of a problem orients the reader to the importance of the topic, sets the problem into a particular context, and defines the relevant parameters, providing the framework for reporting the findings. Therein lies the importance of research problem s.

The formulation of well-defined research questions is central to addressing a research problem . A research question is a statement made in a question form to provide focus, clarity, and structure to the research endeavor. This helps the researcher design methodologies, collect data, and analyze results in a systematic and coherent manner. A study may have one or more research questions depending on the nature of the study.

Identifying and addressing a research problem is very important. By starting with a pertinent problem , a scholar can contribute to the accumulation of evidence-based insights, solutions, and scientific progress, thereby advancing the frontier of research. Moreover, the process of formulating research problems and posing pertinent research questions cultivates critical thinking and hones problem-solving skills.

Table of Contents

What is a Research Problem ?

Before you conceive of your project, you need to ask yourself “ What is a research problem ?” A research problem definition can be broadly put forward as the primary statement of a knowledge gap or a fundamental challenge in a field, which forms the foundation for research. Conversely, the findings from a research investigation provide solutions to the problem .

A research problem guides the selection of approaches and methodologies, data collection, and interpretation of results to find answers or solutions. A well-defined problem determines the generation of valuable insights and contributions to the broader intellectual discourse.

Characteristics of a Research Problem

Knowing the characteristics of a research problem is instrumental in formulating a research inquiry; take a look at the five key characteristics below:

Novel : An ideal research problem introduces a fresh perspective, offering something new to the existing body of knowledge. It should contribute original insights and address unresolved matters or essential knowledge.

Significant : A problem should hold significance in terms of its potential impact on theory, practice, policy, or the understanding of a particular phenomenon. It should be relevant to the field of study, addressing a gap in knowledge, a practical concern, or a theoretical dilemma that holds significance.

Feasible: A practical research problem allows for the formulation of hypotheses and the design of research methodologies. A feasible research problem is one that can realistically be investigated given the available resources, time, and expertise. It should not be too broad or too narrow to explore effectively, and should be measurable in terms of its variables and outcomes. It should be amenable to investigation through empirical research methods, such as data collection and analysis, to arrive at meaningful conclusions A practical research problem considers budgetary and time constraints, as well as limitations of the problem . These limitations may arise due to constraints in methodology, resources, or the complexity of the problem.

Clear and specific : A well-defined research problem is clear and specific, leaving no room for ambiguity; it should be easily understandable and precisely articulated. Ensuring specificity in the problem ensures that it is focused, addresses a distinct aspect of the broader topic and is not vague.

Rooted in evidence: A good research problem leans on trustworthy evidence and data, while dismissing unverifiable information. It must also consider ethical guidelines, ensuring the well-being and rights of any individuals or groups involved in the study.

Types of Research Problems

Across fields and disciplines, there are different types of research problems . We can broadly categorize them into three types.

Theoretical research problems

Theoretical research problems deal with conceptual and intellectual inquiries that may not involve empirical data collection but instead seek to advance our understanding of complex concepts, theories, and phenomena within their respective disciplines. For example, in the social sciences, research problem s may be casuist (relating to the determination of right and wrong in questions of conduct or conscience), difference (comparing or contrasting two or more phenomena), descriptive (aims to describe a situation or state), or relational (investigating characteristics that are related in some way).

Here are some theoretical research problem examples :

Ethical frameworks that can provide coherent justifications for artificial intelligence and machine learning algorithms, especially in contexts involving autonomous decision-making and moral agency.
Determining how mathematical models can elucidate the gradual development of complex traits, such as intricate anatomical structures or elaborate behaviors, through successive generations.
Applied research problems

Applied or practical research problems focus on addressing real-world challenges and generating practical solutions to improve various aspects of society, technology, health, and the environment.

Here are some applied research problem examples :

Studying the use of precision agriculture techniques to optimize crop yield and minimize resource waste.
Designing a more energy-efficient and sustainable transportation system for a city to reduce carbon emissions.
Action research problems

Action research problems aim to create positive change within specific contexts by involving stakeholders, implementing interventions, and evaluating outcomes in a collaborative manner.

Here are some action research problem examples :

Partnering with healthcare professionals to identify barriers to patient adherence to medication regimens and devising interventions to address them.
Collaborating with a nonprofit organization to evaluate the effectiveness of their programs aimed at providing job training for underserved populations.

These different types of research problems may give you some ideas when you plan on developing your own.

How to Define a Research Problem

You might now ask “ How to define a research problem ?” These are the general steps to follow:

Look for a broad problem area: Identify under-explored aspects or areas of concern, or a controversy in your topic of interest. Evaluate the significance of addressing the problem in terms of its potential contribution to the field, practical applications, or theoretical insights.
Learn more about the problem: Read the literature, starting from historical aspects to the current status and latest updates. Rely on reputable evidence and data. Be sure to consult researchers who work in the relevant field, mentors, and peers. Do not ignore the gray literature on the subject.
Identify the relevant variables and how they are related: Consider which variables are most important to the study and will help answer the research question. Once this is done, you will need to determine the relationships between these variables and how these relationships affect the research problem .
Think of practical aspects : Deliberate on ways that your study can be practical and feasible in terms of time and resources. Discuss practical aspects with researchers in the field and be open to revising the problem based on feedback. Refine the scope of the research problem to make it manageable and specific; consider the resources available, time constraints, and feasibility.
Formulate the problem statement: Craft a concise problem statement that outlines the specific issue, its relevance, and why it needs further investigation.
Stick to plans, but be flexible: When defining the problem , plan ahead but adhere to your budget and timeline. At the same time, consider all possibilities and ensure that the problem and question can be modified if needed.

Key Takeaways

A research problem concerns an area of interest, a situation necessitating improvement, an obstacle requiring eradication, or a challenge in theory or practical applications.
The importance of research problem is that it guides the research and helps advance human understanding and the development of practical solutions.
Research problem definition begins with identifying a broad problem area, followed by learning more about the problem, identifying the variables and how they are related, considering practical aspects, and finally developing the problem statement.
Different types of research problems include theoretical, applied, and action research problems , and these depend on the discipline and nature of the study.
An ideal problem is original, important, feasible, specific, and based on evidence.

Frequently Asked Questions

Why is it important to define a research problem?

Identifying potential issues and gaps as research problems is important for choosing a relevant topic and for determining a well-defined course of one’s research. Pinpointing a problem and formulating research questions can help researchers build their critical thinking, curiosity, and problem-solving abilities.

How do I identify a research problem?

Identifying a research problem involves recognizing gaps in existing knowledge, exploring areas of uncertainty, and assessing the significance of addressing these gaps within a specific field of study. This process often involves thorough literature review, discussions with experts, and considering practical implications.

Can a research problem change during the research process?

Yes, a research problem can change during the research process. During the course of an investigation a researcher might discover new perspectives, complexities, or insights that prompt a reevaluation of the initial problem. The scope of the problem, unforeseen or unexpected issues, or other limitations might prompt some tweaks. You should be able to adjust the problem to ensure that the study remains relevant and aligned with the evolving understanding of the subject matter.

How does a research problem relate to research questions or hypotheses?

A research problem sets the stage for the study. Next, research questions refine the direction of investigation by breaking down the broader research problem into manageable components. Research questions are formulated based on the problem , guiding the investigation’s scope and objectives. The hypothesis provides a testable statement to validate or refute within the research process. All three elements are interconnected and work together to guide the research.

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Deciding which market problems to solve for your target market

Identifying market problems.

After you have interviewed potential users of your product and reviewed the results, the next step is to understand their common problems, which are also known as market problems . While your target market’s problems might be stated in different ways, there could be recognizable patterns across the data. Look for common themes or attributes across all interviews.

Market problems are your target market’s stated or silent problems. This could refer to existing inefficiencies, awkward workflows or non-optimal solutions. The key to finding a market problem is to listen for frustrations, or “if only” statements, that arise during interviews.

Market problems: Example

If you had a gardening tools business, you would interview gardeners to identify problems that occur on the job. One problem could be that paper yard bags do not stay open while people are weeding.

While your interviewees might say, “I need a better paper bag,” the bag not staying open is the market problem. You might choose to solve this problem in a number of ways (for example, using a different material, installing a paper bag ring); however, discovering the actual problem (that is, the paper bag won’t stay open) is the most important aspect of this exercise.

How to evaluate market problems

Evaluate the identified market problems by asking (and answering) the following questions.

1. Is the market problem urgent?

Once you identify a problem that applies to the market, ensure that potential and existing customers actually care about the problem. Is the perceived problem actually urgent? Will customers care if the problem is not solved? Do they have another way to solve this problem?

2. Is the market problem pervasive?

Determine if the identified market problem applies to a significant percentage of your target market. Use quantitative research to collect the data. Methods of data collection include surveys, census information and other primary market research. This can be accomplished without investing significant resources. Use free survey tools (for example, SurveyMonkey ) and your personal network (depending on the target market) to collect a large amount of quantitative data.

3. Will your buyers pay to have this problem solved?

If the problem is significantly urgent and pervasive, chances are good that customers would agree to pay for a solution. The next step would be to understand how much they would be willing to pay for a solution to this problem. This can be achieved by conducting surveys or additional interviews with your target market. (To understand how to price a product, read the article, Pricing ).

Note: If you answered “Yes” to all of the preceding questions, then you will have identified a problem that is worth solving. Be sure to investigate whether your competition is already solving this problem, otherwise you might not have a competitive edge in your market.

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Module 6: Marketing Information and Research

The marketing research process, learning objectives.

Identify the steps of conducting a marketing research project

A Standard Approach to Research Inquiries

Step 1: Identify the Problem

The first step for any marketing research activity is to clearly identify and define the problem you are trying to solve. You start by stating the marketing or business problem you need to address and for which you need additional information to figure out a solution. Next, articulate the objectives for the research: What do you want to understand by the time the research project is completed? What specific information, guidance, or recommendations need to come out of the research in order to make it a worthwhile investment of the organization’s time and money?

Applied Example: Marketing Research for Bookends

Identifying Problems, Objectives, and Questions
Core business problem Dan needs to solve	How to get more people to spend more money at Bookends
Research objectives	1) Identify promising target audiences for Bookends; 2) Identify strategies for rapidly increasing revenue from these target audiences
Initial research questions	Who are Bookends’ current customers? How much do they spend? Why do they come to Bookends? What do they wish Bookends offered? Who isn’t coming to Bookends, and why?

Step 2: Develop a Research Plan

Once you have a problem definition, research objectives, and a preliminary set of research questions, the next step is to develop a research plan. Essential to this plan is identifying precisely what information you need to answer your questions and achieve your objectives. Do you need to understand customer opinions about something? Are you looking for a clearer picture of customer needs and related behaviors? Do you need sales, spending, or revenue data? Do you need information about competitors’ products, or insight about what will make prospective customers notice you? When do need the information, and what’s the time frame for getting it? What budget and resources are available?

Applied Example: A Bookends Research Plan

Dan is enthusiastic, but he’s also short on money. You realize that such a financial constraint will limit what’s possible, but with Dan’s help you can do something worthwhile. Below is the research plan you sketch out:

Identifying Data Types, Timing and Budget, Data Collection Methods, Analysis, and Interpretation
Types of data needed	1) Demographics and attitudes of current Bookends customers; 2) current customers’ spending patterns; 3) metro area demographics (to determine types of people who aren’t coming to the store)
Timing & budget	Complete project within 1 month; no out-of-pocket spending
Data collection methods	1) Current customer survey using free online survey tool, 2) store sales data mapped to customer survey results, 3) free U.S. census data on metro-area demographics, 4) 8–10 intercept (“man on the street”) interviews with non-customers
Analysis plan	Use Excel or Google Sheets to tabulate data; Marina (statistician cousin) to assist in identifying data patterns that could become market segments
Interpretation and reporting	You and Dan will work together to comb through the data and see what insights it produces. You’ll use PowerPoint to create a report that lays out significant results, key findings, and recommendations.

Step 3: Conduct the Research

Typically data collection begins by reviewing any existing research and data that provide some information or insight about the problem. As a rule, this is secondary research. Prior research projects, internal data analyses, industry reports, customer-satisfaction survey results, and other information sources may be worthwhile to review. Even though these resources may not answer your research questions fully, they may further illuminate the problem you are trying to solve. Secondary research and data sources are nearly always cheaper than capturing new information on your own. Your marketing research project should benefit from prior work wherever possible.

After getting everything you can from secondary research, it’s time to shift attention to primary research, if this is part of your research plan. Primary research involves asking questions and then listening to and/or observing the behavior of the target audience you are studying. In order to generate reliable, accurate results, it is important to use proper scientific methods for primary research data collection and analysis. This includes identifying the right individuals and number of people to talk to, using carefully worded surveys or interview scripts, and capturing data accurately.

Without proper techniques, you may inadvertently get bad data or discover bias in the responses that distorts the results and points you in the wrong direction. The module on Marketing Research Techniques discusses these issues in further detail, since the procedures for getting reliable data vary by research method.

Applied Example: Getting the Data on Bookends

Dan is on board with the research plan, and he’s excited to dig into the project. You start with secondary data, getting a dump of Dan’s sales data from the past two years, along with related information: customer name, zip code, frequency of purchase, gender, date of purchase, and discounts/promotions (if any).

You visit the U.S. Census Bureau Web site to download demographic data about your metro area. The data show all zip codes in the area, along with population size, gender breakdown, age ranges, income, and education levels.

The next part of the project is customer-survey data. You work with Dan to put together a short survey about customer attitudes toward Bookends, how often and why they come, where else they spend money on books and entertainment, and why they go other places besides Bookends. Dan comes up with the great idea of offering a 5 percent discount coupon to anyone who completes the survey. Although it eats into his profits, this scheme gets more people to complete the survey and buy books, so it’s worth it.

Guy with a beard wearing a red hat pushes a stroller while a woman checks the child and talks on her cell phone. Two young people in the background. Seattle hipsters.

For a couple of days, you and Dan take turns doing “man on the street” interviews (you interview the guy in the red hat, for instance). You find people who say they’ve never been to Bookends and ask them a few questions about why they haven’t visited the store, where else they buy books and other entertainment, and what might get them interested in visiting Bookends sometime. This is all a lot of work, but for a zero-budget project, it’s coming together pretty well.

Step 4: Analyze and Report Findings

Analysis starts with formatting, cleaning, and editing the data to make sure that it’s suitable for whatever analytical techniques are being used. Next, data are tabulated to show what’s happening: What do customers actually think? What’s happening with purchasing or other behaviors? How do revenue figures actually add up? Whatever the research questions, the analysis takes source data and applies analytical techniques to provide a clearer picture of what’s going on. This process may involve simple or sophisticated techniques, depending on the research outcomes required. Common analytical techniques include regression analysis to determine correlations between factors; conjoint analysis to determine trade-offs and priorities; predictive modeling to anticipate patterns and causality; and analysis of unstructured data such as Internet search terms or social media posts to provide context and meaning around what people say and do.

Good analysis is important because the interpretation of research data—the “so what?” factor—depends on it. The analysis combs through data to paint a picture of what’s going on. The interpretation goes further to explain what the research data mean and make recommendations about what managers need to know and do based on the research results. For example, what is the short list of key findings and takeaways that managers should remember from the research? What are the market segments you’ve identified, and which ones should you target? What are the primary reasons your customers choose your competitor’s product over yours, and what does this mean for future improvements to your product?

Applied Example: Analysis and Insights for Bookends

Getting the data was a bit of a hassle, but now you’ve got it, and you’re excited to see what it reveals. Your statistician cousin, Marina, turns out to be a whiz with both the sales data and the census data. She identified several demographic profiles in the metro area that looked a lot like lifestyle segments. Then she mapped Bookends’ sales data into those segments to show who is and isn’t visiting Bookends. After matching customer-survey data to the sales data, she broke down the segments further based on their spending levels and reasons they visit Bookends.

Step 5: Take Action

Once the report is complete, the presentation is delivered, and the recommendations are made, the marketing research project is over, right? Wrong.

What comes next is arguably the most important step of all: taking action based on your research results.

Applied Example: Bookends’ New Customer Campaign

Well done, rookie!

Check Your Understanding

Answer the question(s) below to see how well you understand the topics covered in this outcome. This short quiz does not count toward your grade in the class, and you can retake it an unlimited number of times.

Use this quiz to check your understanding and decide whether to (1) study the previous section further or (2) move on to the next section.

Revision and Adaptation. Authored by : Lumen Learning. License : CC BY: Attribution
Chapter 3: Marketing Research: An Aid to Decision Making, from Introducing Marketing. Authored by : John Burnett. Provided by : Global Text. Located at : http://solr.bccampus.ca:8001/bcc/file/ddbe3343-9796-4801-a0cb-7af7b02e3191/1/Core%20Concepts%20of%20Marketing.pdf . License : CC BY: Attribution
Urban life (Version 2.0). Authored by : Ian D. Keating. Located at : https://www.flickr.com/photos/ian-arlett/19313315520/ . License : CC BY: Attribution

In this article

14 Marketing Problems in 2024 & How to Fix Them

Marketing problems are sometimes unavoidable -- but not unsurmountable. Here's how to tackle the biggest ones this year!

Published September 15, 2024.

Whether or not they admit it, most businesses face their own share of marketing problems. It's far from ideal, but the good news is most of these challenges have solutions, and the vast majority are not necessarily insurmountable, just insufficiently understood.

What are some of the most common problems marketers face in 2024?

We've asked around, dug deep, and come up with a list of 14 struggles that marketers are currently dealing with (as well as what solutions are necessary to address these issues.)

Sales and marketing alignment

Sales and marketing alignment refers to the process of creating cohesion and collaboration between sales and marketing teams to achieve common business goals.

Why this is a problem

Sales and marketing often operate in silos, leading to misaligned goals and strategies. This disconnect can result in conflicting messages, inefficient processes, and ultimately a loss of potential revenue. Without clear communication and collaboration, both teams may struggle to understand their target audiences and identify the most effective methods to convert leads into customers.

How to fix it

To bridge the gap between sales and marketing, establish regular meetings and shared goals. Implementing a feedback loop can ensure both teams are aligned on messaging and strategy. Using a unified CRM system enables seamless data sharing, helping to track and analyze performance collectively. Additionally, fostering a collaborative culture through team-building exercises can enhance mutual understanding and respect.

Remember, both marketing and sales are playing on the same side. It might seem like they're (frequently) in a tug-of-war, but the truth is, they are just stages of the revenue machine. If sales and marketing don't collaborate, the entire process can come to a standstill.

a bar graph with the words what is needed to achieve sales and marketing alignment?

No proper marketing strategy

(Harsh) truth: many businesses fail to differentiate between overall long-term strategic plans and short-term tactical actions, leading to inconsistent and ineffective marketing efforts. A marketing strategy needs to act as a liaison, umbrella, for your long-term goals and tactics. It outlines how to achieve your business objectives through marketing efforts by defining target audiences, messaging, channels, and metrics.

Without a defined strategy, marketers may struggle to determine the most effective channels to reach their target audience or measure the success of their efforts. This can result in wasted time and resources on ineffective campaigns. Additionally, without clear goals and key performance indicators (KPIs), it's challenging to track progress and make data-driven decisions.

Developing a comprehensive marketing strategy involves identifying your ideal customer persona, understanding their pain points and motivations, and determining the best channels to reach them. Set specific, measurable goals, document everything, and make sure you have the necessary tools in place to track and measure your progress. Conduct regular reviews and adjustments to ensure your strategy remains aligned with your overall business goals.

...And if you need help, here's a guide that includes marketing strategy examples .

... Or just download our marketing strategy template to help you get started.

Good marketing talent

Although there is more marketing talent available today than ever, finding the right marketers and retaining them can still be a significant challenge for businesses. With competition for top talent on the rise, it's crucial to have a solid plan in place for attracting and keeping skilled professionals.

Securing skilled marketing professionals is crucial, yet challenging. A lack of talent can result in subpar campaigns, poor brand positioning, and inefficient use of marketing resources. Without adept marketers, businesses may struggle to keep pace with industry innovations and audience expectations.

Invest in attracting and retaining top marketing talent through competitive salaries, professional development opportunities, and a positive work environment. Establish clear career paths and provide mentorship programs to nurture in-house talent.

Additionally, if you don't want to go through the time and energy-consuming process of finding top marketers, consider Mayple. We have vetted thousands of:

Digital marketing freelancers
Digital marketing agencies
PPC agencies
Social media marketing agencies
Email marketing agencies
...And more

...And we will match you with the best one for your specific needs, as well as help you manage the entire collaboration to ensure deliverables and results meet your expectations. Bonus points? No contractual minimums and you can cancel whenever you want.

the top challenge marketing leaders expect to face in 2012

Social issues

Addressing social issues in marketing involves navigating complex and often sensitive topics that can polarize audiences and potentially harm a brand's reputation if not handled thoughtfully and authentically.

Ignoring or mishandling social issues can damage a brand's reputation and alienate consumers. In today’s socially conscious market, companies are expected to take a stand on pertinent issues. Failure to address these topics can lead to consumer distrust and lost sales.

Ensure your brand’s values are clearly communicated and align with your audience's sentiments. Be proactive in addressing social issues in a genuine and thoughtful manner. Engage in corporate social responsibility (CSR) initiatives and transparently share your efforts and progress with the public.

To gain a better understanding of what , specifically , your audience cares most about, engage in social listening and actively seek feedback from your customers. This will help you shape your messaging and actions to align with their values and concerns. Remember, authenticity is key when addressing social issues in marketing.

Good, lead generation-focused content

Creating good content that generates leads requires a deep understanding of your audience and a strategic approach to addressing their needs and pain points in order to drive meaningful engagement and conversions.

Producing content that doesn't resonate with potential leads can result in low engagement and missed opportunities. Without a focus on valuable, audience-centric content, marketing efforts may fail to attract and nurture quality leads.

Create in-depth buyer personas to understand your audience’s needs and preferences. Tailor content to solve their problems and provide actionable insights. Utilize various formats—blogs, videos, webinars—to reach leads at different stages of their journey. Regularly analyze content performance and adjust strategies accordingly.

Also, remember your content marketing efforts are about more than just your blog or a bunch of videos tossed out on YouTube. It should be a unified effort that helps your customers move from the awareness to the consideration and, finally, conversion stages. To that avail, create content that:

Educates and informs. Your content should provide valuable knowledge and insights that help your audience understand their challenges and potential solutions.
Engages with storytelling. Use compelling narratives and real-life examples to illustrate points and keep your audience interested.
Includes strong calls-to-action (CTAs). Guide your audience towards the next step, whether it's downloading a resource, signing up for a newsletter, or contacting your sales team.
Leverages SEO best practices. Optimize content with relevant keywords, meta descriptions, and internal links to improve visibility and drive organic traffic.
Incorporates multimedia elements. Use images, infographics, videos, and interactive tools to enrich the content and cater to different learning preferences.

Resonating with your audience

Failing to resonate with your audience can lead to disengagement and lost opportunities for building lasting customer relationships.

Failure to connect with your audience can render marketing efforts ineffective. Without resonant messaging, campaigns may not capture attention, leading to low conversion rates and weakened brand loyalty.

Marketing is about more than just a list of hacks you employ and wait for magic to happen. It's about understanding your audience on a deeper level and creating meaningful connections with them through relevant, impactful messaging.

Conduct thorough market research and regularly gather feedback from your audience to understand their needs, preferences, and pain points. Utilize storytelling and personalization techniques to create emotionally resonant content that captures attention and builds trust. Continuously analyze data to identify successful strategies and refine future campaigns accordingly.

Remember, marketing is a continual process of learning and adapting strategies to best meet the needs of your unique audience. Ultimately, by investing in genuine efforts to connect with your target market, you can build lasting relationships built on trust and understanding.

Social media growth

Social media growth can be hindered by inconsistent posting, lack of engagement, and failure to produce content that resonates with your audience. More even, the issue becomes even more complex when you want your social media following to consist of people who would be actually willing to buy from you, down the line, if not soon.

Slow growth on social media platforms can limit outreach and engagement with potential customers. Without an active and expanding social media presence, brands may miss out on significant opportunities to build community and drive traffic.

Develop a robust social media strategy that includes regular posting, interactive content, and collaboration with influencers. Engage with followers through comments and messages to build relationships. Utilize analytics tools to track growth and adjust tactics to optimize performance.

Consistent social media growth requires a strategic approach and a commitment to engaging with your audience regularly. Here are six tips to help you achieve sustained growth:

Post consistently. Develop a content calendar and stick to a regular posting schedule to keep your audience engaged and aware of your presence.
Engage with your audience. Respond to comments, messages, and mentions to build a sense of community and foster deeper connections with your followers.
Create high-quality content. Produce visually appealing and valuable content that addresses your audience's interests and needs.
Collaborate with influencers. Partner with influencers who align with your brand values and have a loyal following to amplify your reach and credibility.
Analyze and adapt. Regularly review your social media analytics to understand what works and what doesn’t, then adjust your strategy based on these insights.
Remember people go on social media for entertainment, more than anything . Yes, that includes LinekdIn as well, where your post need to be both educational and engaging, as opposed to just corporate. Incorporate humor, storytelling, and creativity into your posts to stand out and capture attention.

Keeping up with the algorithms

Keeping up with constantly evolving algorithms is challenging, as changes can impact your visibility and engagement, making it difficult to maintain a steady growth and effectively reach your audience. From Google's search algorithm to LinkedIn's feed, a lot of changes have occurred in 2024, and chances are there is more coming your way too.

Why is this a problem

Constantly changing social media algorithms can disrupt a brand’s visibility and engagement. If not you don't keep them up-to-date, your social media posts and website content may not reach the intended audience, resulting in decreased effectiveness of social media campaigns.

Stay informed on algorithm changes and adapt your strategy accordingly. Prioritize high-quality, engaging content that encourages interaction, as this can improve algorithm favourability. Collaborate with social media experts or agencies to ensure best practices are in place.

At the same time, understand that algorithms are designed to prioritize user experience and relevant content, so it's important to always focus on creating valuable and engaging content for your audience.

You can't control the algorithms, but you can control the quality and relevance of your content. By staying up-to-date on algorithm changes, continuously analyzing data, and creating valuable content, you can adapt to algorithm updates and maintain an effective social media presence.

Lack of focus

A lack of focus in marketing can lead to diluted, disparate, and chaotic efforts, reducing the impact and effectiveness of campaigns.

A scattered approach to marketing can dilute efforts and lead to inconsistent brand messaging. Without focus, resources may be spread too thin, resulting in ineffective campaigns and reduced ROI.

Establish clear and specific marketing objectives aligned with business goals. Prioritize initiatives that offer the highest potential impact and allocate resources accordingly. Regularly review and refine focus areas to maintain strategic alignment and effectiveness.

An overarching marketing strategy will help you stay focused on the channels that matter to your business and target audience, avoiding the trap of trying to be present on every platform, all the time.

Marketing attribution

Marketing attribution is the process of identifying and assigning credit to various marketing activities and channels that contribute to a customer's purchase decision. And while marketers have more tools than ever to measure attribution, gaps in these systems make it difficult to accurately measure the true impact of each marketing touchpoint.

Inability to accurately attribute marketing efforts to sales can hinder understanding of campaign effectiveness. Lack of clarity on ROI makes it difficult to justify marketing spend and optimize strategies.

Implement robust attribution models that track and analyze the customer journey across multiple touchpoints. Use analytics tools to gather data and produce comprehensive reports. Ensure alignment between marketing and sales teams to validate attribution findings.

At the end of the day, it is also important to accept that not everything can be measured quantitatively. You cannot measure how many people talk about you in their DMs or on WhatsApp, nor can you measure how they feel when they see an engaging post from your CEO on LinkedIn (unless they "react" to the post, of course.). Accept that not everything can be measured, and focus on tracking the metrics that have the most impact on your campaign goals.

six types of marketing attribution models

Buy-in for long-term efforts

Gaining buy-in for long-term marketing efforts can be challenging because stakeholders often desire quick, measurable results, making it difficult to secure sustained support and investment.

Securing buy-in for long-term marketing initiatives can be challenging, as stakeholders often seek immediate results. Short-term focus can stifle long-term growth and innovation, and while it may work for a limited time span, it will eventually crumble. Marketing is a long-term game.

Educate stakeholders on the benefits of sustained marketing efforts through data and case studies. Set realistic expectations with clear milestones and KPIs to demonstrate progress. Foster a culture that values long-term vision and strategic investment.

If getting buy-in on large projects is proving difficult, start small and show the value of long-term efforts through smaller-scale campaigns. Once stakeholders see the positive results and understand the potential impact of sustained marketing efforts, it will be easier to gain their support for larger initiatives.

Tightening budgets

Tightening budgets can constrain marketing efforts, making it difficult to execute comprehensive strategies and achieve desired outcomes.

Reduced marketing budgets can limit campaign scope and effectiveness. Without adequate funding, it becomes challenging to execute comprehensive strategies and maintain competitiveness.

Maximize budget efficiency by prioritizing high-impact, low-cost tactics. Leverage cost-effective digital channels and focus on campaigns with the highest ROI potential. Regularly review spending and adjust allocations to ensure optimal resource use.

Also, consider low-hanging fruit with your marketing tactics. Some smaller-budget, but high-impact marketing efforts could include:

Content marketing . Create a blog series that offers valuable insights to your audience. For example, a SaaS company could publish weekly articles about industry trends and best practices.
Social media engagement . Host regular interactive sessions, such as Q&A sessions or live webinars on platforms like Facebook Live or Instagram Stories, to engage directly with followers.
Email campaigns . Develop a segmented email newsletter to target specific audiences. For instance, a fashion retailer might send exclusive offers to loyal customers and new arrivals to new subscribers.
User-generated content . Encourage customers to share their own content featuring your product on social media. For example, a fitness brand could run a hashtag campaign encouraging users to post workout photos or videos.
Influencer partnerships . Collaborate with micro-influencers who align with your brand values and have a dedicated followership. An example would be a healthy snack brand partnering with fitness influencers to promote their products.

Growing advertising costs

Increasing advertising costs can strain marketing budgets, making it harder to achieve a strong return on investment. And, because most online advertising platforms function on some sort of bidding model, and competition is fierce, it makes sense that costs would continue to rise.

Rising advertising costs can strain marketing budgets, making it difficult to achieve desired reach and frequency. Increased competition for ad space further drives up expenses.

Reassess and refine targeting to reach the most relevant audiences efficiently. Diversify advertising channels to mitigate cost pressures. Optimize ad performance through continuous testing and adjustment to maximize returns.

Working with an expert PPC agency or PPC freelancer can help you stay on top of cost fluctuations and identify opportunities to optimize your campaigns. We can help with that at Mayple: we work with hundreds of experts ready to take on a good challenge, help you reach more people with your ads, and make more with less in terms of budget. Contact us and we'll match you with the right fit for your business' needs and industry.

Too many hacks, templates, and one-size-fits-all solutions

The overreliance on generic hacks, templates, and one-size-fits-all solutions can lead to ineffective marketing strategies that fail to address the unique needs and challenges of individual businesses.

Relying on generic marketing tactics can lead to ineffective campaigns and missed opportunities for differentiation. Hacks and templates may not align with specific brand needs or audience nuances.

Invest in developing customized strategies that reflect your unique brand identity and audience insights. Focus on innovative and creative approaches that stand out. Use templates as a starting point but tailor them to suit your specific requirements for genuine engagement.

Artificial Intelligence, templates, and other marketing tools can be helpful in streamlining processes, but they should not replace critical thinking and creativity. Invest in a diverse team with different backgrounds, experiences, and perspectives to develop innovative solutions tailored to your brand's specific needs. Encourage continuous learning and experimentation for ongoing success.

Ready to turn the tide on your marketing efforts?

Nobody said marketing is easy. But each challenge comes with great opportunities: a chance to learn, innovate and grow.

Remember, marketing is not just about short-term gains, it's about building long-term relationships with customers and creating sustainable success for your business. So stay informed, stay adaptable, and keep pushing the boundaries of what's possible in marketing. With dedication, creativity, and a strategic mindset, you can overcome any challenge and achieve your goals. Good luck!

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The A-Z of Market Research - Your Ultimate Glossary

This A-Z glossary is a reference tool for professionals in the market research industry. It encompasses an array of commonly used terms and concepts that are integral to effective market research practices. Covering everything from fundamental methodologies to specialized techniques, this glossary provides definitions that clarify the jargon often found in the field. Whether you are an experienced researcher, new to the industry, or a client aiming to enhance your understanding of research reports, this resource helps you to quickly access key market research terminology. Dive in and leverage this knowledge to elevate your expertise and drive impactful insights.

A/B Testing

A method of comparing two versions of a webpage or app against each other to determine which one performs better. It involves randomly showing the two variants (A and B) to users and analyzing which one drives more conversions. Read more about AB testing on HBR .

Access panels

A database of individuals who have agreed to be available for surveys of varying types and topics. They are used to save time and money in recruiting respondents for market research.

Accompanied shopping

A specialized type of individual depth interview where respondents are interviewed while they shop in a retail store. It combines observation with detailed questioning.

Alternative hypothesis

The hypothesis in statistical testing where some difference or effect is expected. It's the opposite of the null hypothesis.

Ambiguous question

An ambiguous question in market research is a poorly constructed query that lacks clarity and precision, allowing for multiple interpretations by respondents. These questions can lead to confusion and inconsistent answers, as different individuals may understand and respond to the question in varying ways. This ambiguity often stems from vague language, lack of context, or the inclusion of multiple concepts within a single question. As a result, ambiguous questions can compromise the reliability and validity of research data, potentially leading to misguided conclusions and decisions. Researchers must strive to craft clear, specific questions to ensure accurate and meaningful responses that truly reflect the opinions and experiences of their target audience.

A type of stimulus material where key frames for a television advertisement are drawn or computer generated with an accompanying soundtrack. They are used to test advertisement concepts before full production.

Annotation method

An approach to analyze qualitative data using codes or comments on transcripts to categorize points made by respondents.

ANOVA (Analysis of Variance)

A statistical test for the differences among the means of two or more variables. It's commonly used to compare multiple groups in experimental designs. Read more about ANOVA at Oxford University .

Area sampling

A type of cluster sampling where clusters are created based on the geographic location of the population of interest.

Artificial Intelligence (AI)

The use of computer algorithms and systems to simulate human intelligence and perform tasks such as data analysis or decision making. In market research, AI is increasingly used for data processing and analysis. Find out more about what AI is here .

Audience's thinking sequence

The sequence of thoughts that people go through when they are being communicated with. Understanding this helps in crafting effective marketing messages.

An examination and verification of the movement and sale of a product. There are three main types: wholesale audits, retail audits, and home audits.

A chart that uses a series of bars positioned horizontally or vertically to represent the values of various items. It's a common way to visually represent data in market research reports.

In market research, particularly when dealing with cross tabulations, the base refers to the total number of respondents or observations that form the foundation for calculating percentages or other statistical measures. It represents the entire sample or a specific subset of the sample for which data is being analyzed. The base is crucial for understanding the context and significance of reported percentages, as it indicates the size of the group from which conclusions are drawn. For instance, if a survey reports that 60% of respondents prefer a certain product, the base tells us how many people that percentage represents, allowing for more accurate interpretation of the data's reliability and representativeness.

Bayes' theorem

A mathematical formula that provides a way to update the probability of an event based on new information. In market research, it's used to estimate the likelihood of a target audience having certain characteristics.

Read more about Bayes rule in perception, action and cognition with Cambridge University's Machine Learning Group

Behavioural science

An interdisciplinary field applying theories and techniques mainly from psychology to uncover what consumers value and provide solutions to pricing, choice architecture, perceptions, and behaviors.

A term describing the significant volume and variety of data available to organizations and the increased frequency in which they are generated. It's increasingly important in market research for uncovering insights.

The use of physiological or behavioral characteristics to identify and verify a person's identity. In market research, it's used to authenticate survey respondents and measure physical responses to stimuli.

An abbreviated title for the term web log, meaning a frequent, chronological publication of personal thoughts and ideas. In market research, blogs can be a source of consumer insights.

Brand Equity Modelling

The creation of a Brand Equity measure and any Key Driver analysis to determine what drives Brand Equity. It helps in understanding and quantifying a brand's strength.

Let’s explore how well a brand's product qualities match what consumers truly desire. Understanding this alignment is key to optimizing your brand's positioning. Here are a few points to consider:

What does your audience value? Discover the qualities that resonate with them.
How do you measure this alignment? Use insights to refine your approach.
Empower your brand strategy! When you align with customer desires, you create a stronger connection.

By focusing on these aspects, you’ll not only enhance your brand's appeal but also engage your audience in a meaningful way.

Brand mapping

A projective technique involving presenting competing brand names to respondents and getting them to group them into categories based on certain dimensions. It helps understand brand perceptions and positioning.

Brand personalities

A projective technique where respondents imagine a brand as a person and describe their looks, clothes, lifestyles, etc. It helps understand brand perceptions and associations.

Brand Price Trade Off

A technique for establishing brand and price preferences by presenting respondents with branded products at various price points. It helps in understanding price sensitivity and brand loyalty.

Canonical Correlations

A statistical technique used to identify how much one set of independent variables drives another set of dependent variables. It's particularly useful when there are multiple dependent variables or categorical variables.

CAPI (Computer Assisted Personal Interviewing)

A method where laptop computers, tablets, or mobile devices are used instead of paper-based questionnaires for face-to-face interviewing. It allows for more complex questionnaires and immediate data entry.

Discover a powerful market research method designed specifically for the automotive industry! This approach helps gather valuable insights about consumer preferences and pinpoint potential issues with a vehicle before it hits the production line. Here’s how it works:.

Participants engage with a pre-production or prototype vehicle.
They share their thoughts and feedback, enabling manufacturers to make informed decisions.

This collaborative process empowers users and ensures that their voices shape the final product.

Cartoon completion

A projective technique which involves a cartoon that the respondent has to complete. It's used to uncover underlying attitudes or perceptions.

CATI (Computer Assisted Telephone Interviewing)

A telephone interviewing method where interviewers input respondents' answers directly into a computer-based questionnaire. It allows for complex routing and immediate data entry.

CATS (Completely Automated Telephone Surveys)

Telephone interviews that use interactive voice technology and require no human interviewer. Respondents answer closed-ended questions using their touch-tone telephone.

Causal research

Research that examines whether one variable causes or determines the value of another variable. It's used to understand cause-and-effect relationships in marketing phenomena.

CAWI (Computer Assisted Web Interviewing)

Also known as online interviewing, CAWI involves respondents filling in a self-completion questionnaire delivered via the internet. It allows for complex routing and multimedia stimuli.

Research which involves collecting data from every member of the population of interest. It's typically used when the population is small or when complete data is required.

CHAID (CHi Squared Automatic Interaction Detection)

A type of decision tree technique based on significance testing. It's used to create rules to classify future respondents into identified groups or detect interrelationships between different questions.

Web-based platforms that can be used for online focus groups where individuals are recruited to discuss a subject online, usually using text. They allow for real-time qualitative research with geographically dispersed participants.

Chatbot survey

A traditional survey presented to the respondent in the form of an online conversation. Instead of answering static questions, respondents engage in a conversational exchange or chat.

A statistical test which tests the 'goodness of fit' between the observed distribution and the expected distribution of a variable. It's commonly used to analyze the relationship between categorical variables.

Choice Based Conjoint

A specific type of conjoint analysis where respondents are asked to make choices between different sets of products/services to derive the overall appeal of each component part. It's used to understand consumer preferences and trade-offs.

Closed question

A closed question in market research is a type of survey question that limits respondents to choosing from a predetermined set of answer options. Unlike open-ended questions, closed questions do not allow for free-form responses. They typically come in two main forms: dichotomous questions, which offer only two possible answers (e.g. yes/no, true/false), and multiple-choice questions, which provide several options to choose from. Closed questions are valued for their ability to generate easily quantifiable data, simplify the analysis process, and reduce the time and effort required from respondents. However, they may also limit the depth of insights by constraining respondents to predefined choices, potentially missing nuanced or unexpected responses that could be captured by open-ended questions.

Cluster analysis

A statistical technique used to group similar objects or individuals. In market research, it's often used for market segmentation, grouping consumers with similar characteristics or behaviors.

Cluster sampling

A probability sampling approach in which clusters of population units are selected at random and then all or some of the units in the chosen clusters are studied. It's often used when it's impractical or expensive to sample from a widely dispersed population.

The procedures involved in translating responses into a form that is ready for analysis. It typically involves assigning numerical codes to responses, especially for open-ended questions.

Coefficient alpha

See Cronbach alpha.

Coefficient of determination

A measure of the strength of linear relationship between a dependent variable and independent variables. It indicates how much of the variance in the dependent variable is predictable from the independent variable(s).

Concept boards

Introducing a dynamic tool for gathering valuable insights: stimulus materials! These boards showcase various product, advertising, and packaging designs, helping you collect feedback on exciting new products or campaigns. Here’s what you need to know:

What are they? A set of boards that illustrate different designs.
Why use them? To engage your audience and gather their thoughts on potential innovations.
How they help: Empower you to make informed decisions based on real feedback.

We’re here to foster collaboration and curiosity—let’s explore new ideas together! What designs resonate with you? We’d love to hear your thoughts!

Confidence level

The probability that the true population value will be within a particular range (result +/– sampling error). It's typically set at 95% in market research studies.

Conjoint analysis

A statistical technique to understand what combination of a limited number of attributes is most influential in the consumer's decision-making process. It's often used in product development and pricing research.

Constant sum scales

A scaling approach which requires the respondent to divide a given number of points, usually 100, among a number of attributes based on their importance to the individual. It forces respondents to make trade-offs between attributes.

Construct validity

An analysis of the underlying theories and past research that supports the inclusion of various items in a scale. It's most commonly considered in two forms: convergent validity and discriminant validity.

Content analysis

The analysis of any form of communication, whether it's advertisements, newspaper articles, television programmes, or taped conversations. It's frequently used for the analysis of qualitative research data.

Content analysis software

Software used for qualitative research which counts the number of times that pre-specified words or phrases appear in text. It's used to analyze large volumes of textual data efficiently.

Content validity

A subjective yet systematic assessment of how well a rating scale measures a topic of interest. For example, a group of subject experts may be asked to comment on the extent to which all of the key dimensions of a topic have been included.

Continuous research

See Longitudinal research.

Contrived observation

A research approach which involves observing participants in a controlled setting. It allows researchers to manipulate variables and observe their effects on behavior.

Convenience sampling

Convenience sampling is a non-probability sampling method in market research where participants are selected based on their accessibility and willingness to participate, rather than through random selection. This approach involves choosing readily available individuals or groups that are easy for the researcher to reach, such as passersby in a shopping mall, students on a university campus, or online volunteers. While convenience sampling offers advantages in terms of speed, cost-effectiveness, and ease of implementation, it comes with significant limitations. The primary drawback is the potential for bias and lack of representativeness, as the sample may not accurately reflect the characteristics of the broader target population. This can lead to skewed results and limit the generalizability of the research findings, making it less suitable for studies requiring high levels of accuracy or those aiming to make broad inferences about a population.

Convergent validity

A measure of the extent to which the results from a rating scale correlate with those from other scales or measures of the same topic/construct. It's used to assess the validity of measurement scales.

Text files placed on a user's computer by web retailers in order to identify the user when they next visit the website. In market research, they can be used to track online behavior.

Correlation

Let’s dive into a statistical approach that helps us explore the relationship between two variables! Here’s what you need to know:

Understanding relationships : This method uses an index to clearly describe both the strength and direction of the relationship between variables.
Empower your insights : By examining these connections, you can gain valuable insights into how different factors interact.

Isn’t it exciting to uncover these relationships? Feel free to share your thoughts or questions!

Cost per complete (CPC)

A common term in quantitative research for the price paid per completed survey. This calculation usually includes the cost of the sample, fielding costs, and the cost of using the survey software.

Critical path method (CPM)

A managerial tool used for scheduling a research project. It's a network approach that involves dividing the research project into its various components and estimating the time required to complete each component activity.

Cronbach Alpha

Cronbach's Alpha , also known as coefficient alpha, is a widely used statistical measure in market research to assess the internal consistency reliability of a multi-item scale. It quantifies how closely related a set of items are as a group, typically in questionnaires or surveys where multiple questions aim to measure the same underlying construct. The coefficient ranges from 0 to 1, with higher values indicating greater internal consistency. Generally, an alpha of 0.7 or higher is considered acceptable in most research scenarios, though this can vary depending on the field and purpose of the study. Cronbach's Alpha is particularly valuable in developing and validating measurement scales for concepts like customer satisfaction, brand loyalty, or employee engagement. It helps researchers ensure that the items in their scale are measuring the same concept consistently, thus improving the overall reliability and validity of their research instruments.

Cross tabulation (crosstab)

A technique used to analyze and compare the relationship between two or more variables. It involves creating a table that shows the distribution of one variable across the different categories of another variable.

Cross sectional research

Research studies that are undertaken once, involving data collection at a single point in time, providing a 'snapshot' of the specific situation. It's the opposite of longitudinal research.

Customer database

A manual or computerized source of data relevant to marketing decision making about an organization's customers. It's a valuable resource for customer relationship management and targeted marketing efforts.

Customer Lifetime Value (CLV)

A prediction of the net profit attributed to the entire future relationship with a customer. It's used to determine how much to invest in acquiring or retaining a customer.

CX (Customer Experience)

Refers to how customers feel or perceive all aspects (touchpoints) when they buy goods or services or interact with a business. It's crucial for understanding and improving customer satisfaction and loyalty.

Data analysis errors

Non-sampling errors that occur when data is transferred from questionnaires to computers by incorrect keying of information. They can be minimized through data cleaning and validation processes.

Data cleaning

To ensure data quality before analysis, it's essential to conduct computerized checks on your data. This friendly process helps you:

Identify inconsistencies
Detect any unexplained missing responses

Taking this crucial step empowers you to work with reliable information and make informed decisions. Let's embrace good data practices together!

Data conversion

The reworking of secondary data into a format that allows estimates to be made to meet the researcher's needs. It's often necessary when using data from different sources or time periods.

Data fusion

The process of combining multiple data sources into a single, comprehensive representation of information. In market research, it's used to gain a more complete understanding of consumer behavior and market trends.

Refers to the type of data to be analyzed in a hierarchical survey. For example, in a healthcare study, analysis could be based at the doctor, patient, or therapy level.

Data mining

The process of discovering patterns and knowledge from large amounts of data using techniques such as statistical analysis and machine learning. It's used to extract useful insights and make data-driven decisions.

Data validation

The verification of the appropriateness of the explanations and interpretations drawn from qualitative data analysis. It's crucial for ensuring the credibility and trustworthiness of qualitative research findings.

Degrees of freedom (d.f.)

The number of observations (i.e., sample size) minus one. It's used in various statistical calculations and tests.

Depth interview

Descriptive statistics.

Statistics that help to summarize the characteristics of large sets of data using only a few numbers. The most commonly used are measures of central tendency and measures of dispersion.

Desk research

See Secondary research.

A continuous measurement tool used to gather feedback from participants when watching or listening to content media. Participants indicate their continuous level of agreement/like or disagreement/dislike with the content being presented.

Dichotomous questions

Dichotomous questions are survey or interview questions that offer only two possible response options, typically "Yes" or "No". While these questions are easy for respondents to answer, they yield limited information due to their binary nature.

Discrete Choice Modeling

A statistical technique used to predict a choice from a set of two or more alternatives. It's often used in market research to understand consumer preferences and decision-making processes.

Discriminant analysis

A statistical technique that uses responses to a set of questions to predict existing group membership. The output can then be used to classify future respondents into the same groups.

Discriminant validity

A measure of the extent to which the results from a rating scale do not correlate with other scales from which one would expect it to differ. It's used to assess the validity of measurement scales.

Discussion guide

Used to structure and direct focus groups or depth interviews with participants. It serves as a guide for the facilitator or interviewer, providing questions, topics, and prompts to cover during the discussion.

Disproportionate stratified random sampling

A form of stratified random sampling where the units or potential respondents from each population set are selected according to the relative variability of the units within each subset.

Do-It-Yourself (DIY) research

DIY research refers to market research methods that can be conducted independently, without professional assistance. This approach is generally more cost effective and faster than traditional market research techniques.

Double opt-in (DOI)

Refers to a person who has agreed to join a research panel and has confirmed their agreement through a two-step verification process. It helps ensure explicit consent and accurate contact information.

Double-barrelled question

A badly constructed question where two topics are raised within one question. It should be avoided as it can lead to confusion and inaccurate responses.

Doughnut chart

A form of pie chart which allows different sets of data (e.g., for different years) to be shown in the same chart. It's useful for comparing proportional data across categories.

Emotion recognition

The use of AI algorithms to detect and interpret human emotions, often through analysis of facial expressions, voice, or text. It's used in market research to understand emotional responses to products or advertisements.

Ethnography

A research method used for investigating cultural practices, rituals, consumer behavior, routines, and social norms. It helps unearth previously unseen opportunities by looking at people's worlds in an authentic way.

Eye tracking

A method of measuring and analyzing where and how people look at visual information. In market research, it's used to understand how people interact with visual stimuli like advertisements or product packaging.

Face to face survey

Research which involves meeting respondents in person and interviewing them using a paper-based questionnaire, a laptop computer, tablet, or mobile device. It allows for more complex questions and use of visual aids.

Facial tracking

A method of measuring and analyzing facial expressions and movements. In market research, it's used to understand emotional responses to advertising, products, and other stimuli.

Factor Analysis

A statistical technique to examine the similarities between items in order to identify a more concise summary of themes. It's often used for data reduction or to identify underlying constructs.

Focus group

A qualitative research method used to gather data through group discussions. Participants are brought together in a moderated setting to discuss a specific topic, product, or service.

Frequency distributions

See Holecounts.

Funnel sequence

A method for ordering questions in a questionnaire that starts with broad, general topics and gradually narrows down to more specific, detailed questions. This approach helps ease respondents into the survey, building rapport and context before addressing more complex or sensitive issues, potentially improving the quality and depth of responses.

The funnel sequence is a common and effective technique in questionnaire design, particularly useful for in-depth interviews and complex surveys.

Gabor Granger

A pricing technique used to understand price elasticity for set products. Respondents are asked how likely they are to purchase a product at different price points, allowing researchers to establish optimal pricing.

Galvanic Skin Response (GSR)

A method of measuring changes in the electrical conductance of the skin, which can indicate changes in emotional arousal. In market research, it's used to understand emotional reactions to stimuli.

Gamification

The process of adding game-like elements to a research activity to engage participants and collect data in a more interactive way. It can lead to better quality data by making surveys more engaging and fun.

GANTT chart

A managerial tool used for scheduling a research project. It's a form of flowchart that provides a schematic representation incorporating the activity, time, and personnel requirements for a given research project.

Geo-fencing in market research

The use of GPS or RFID technology to define a geographic boundary, then trigger a response when a mobile device enters or leaves the area. It's used in location-based market research and mobile surveys.

Geodemographic profiling

A profiling method which uses postal addresses to categorize different neighborhoods in relation to buying power and behavior. It's useful for targeted marketing and location-based strategies.

Grounded theory

Grounded Theory is a systematic methodological approach to qualitative research, particularly valuable in market research when exploring new or poorly understood phenomena. Unlike traditional research methods that begin with a hypothesis, Grounded Theory starts with data collection and analysis, allowing theories to emerge from the data itself. Researchers using this method gather information through various qualitative techniques such as interviews, focus groups, or observations, and then analyze this data through a process of coding and constant comparison. As patterns and concepts emerge, researchers develop theories that are "grounded" in the actual experiences and perspectives of the participants. This approach is especially useful in uncovering consumer motivations, decision-making processes, or market trends that may not be apparent through conventional research methods. While more time-consuming and complex than some other research techniques, Grounded Theory can provide deep, nuanced insights that lead to innovative marketing strategies or product development ideas.

Group depth interviews

See Focus group.

Group moderator

The interviewer responsible for the management and encouragement of participants in a group discussion. They play a crucial role in facilitating productive discussions and ensuring all participants contribute.

Research undertaken in a central hall or venue commonly used to test respondents' initial reactions to a product, package, or concept. It's also known as a Central Location Test (CLT).

A graphical representation of data where values are depicted by color. In market research, they're often used to show where people click on websites or focus their attention in visual stimuli.

Holecounts refer to the number of respondents who selected each possible answer for each question in a survey. This concept is also known as frequency distributions or topline numbers, providing a basic summary of how responses are distributed across answer options.

An assumption or proposition that a researcher puts forward about some characteristic of the population being investigated. It's tested through research to determine if it's supported or refuted.

IDI (InDepth Interview)

A qualitative research method using a relatively open, discovery-oriented approach to obtain detailed information about a topic from a participant. It allows for deep exploration of individual perspectives and experiences.

IHUT (In Home Usage Test)

A market research method that allows consumers to test products in their own homes. Participants are given a product to use and are asked to provide feedback on its features, benefits, and overall satisfaction.

Impact indices

Measure the impact any independent variable has on changing a dependent variable. Often used when the independent variables are binary, it can evaluate the impact of different product qualities on preference.

Implicit Association Test (IAT)

A psychological measurement technique used to uncover unconscious biases. It measures a respondent's automatic associations between mental representations of objects in memory and evaluations, attitudes, or stereotypes.

Implicit assumption

A badly constructed question where the researcher and the respondent are using different frames of reference as a result of assumptions that both parties make about the question being asked.

Independent samples

Samples in which the measurement of the variable of interest in one sample has no effect on the measurement of the variable in the other sample. It's important for certain statistical tests.

Internal data

Secondary data sourced from within the organization that is requiring the research to be conducted. It can include sales data, customer records, and previous research findings.

Interquartile range

A measure of dispersion that calculates the difference between the 75th and 25th percentile in a set of data. It's useful for understanding the spread of the middle 50% of the data.

Interval data

Similar to ordinal data with the added dimension that the intervals between the values on a scale are equal. However, the ratios between different values on the scale are not valid.

Interviewer bias

Bias and errors in research findings can significantly impact results, stemming from the actions of the interviewer. Factors such as the selection of interview subjects, the methodology employed during the interview process, and the precision in recording responses can all influence the integrity of the data. It's crucial to understand these elements to ensure reliable outcomes in research.

Interviewer Quality Control Scheme (IQCS)

A quality control scheme for interviewers in the UK. The scheme is aimed at improving selection, training, and supervision of interviewers.

Judgement sampling

A non-probability sampling procedure where a researcher consciously selects a sample that he or she considers to be most appropriate for the research study. It relies on the researcher's expertise but may introduce bias.

Key Driver Analysis

The analysis of the relationship between a dependent variable and one or more independent variables. Its purpose is to determine whether a relationship exists and the strength of the relationship, used to help prioritize what to focus on.

Kiosk-based survey

A survey often undertaken at an exhibition or trade show using touch screen computers to collect information from respondents. It can be cheaper to administer compared to traditional exit surveys with human interviewers.

Kruskal's relative importance analysis

A type of Key Driver Analysis used as an alternative to other techniques such as ordinary regression analysis. It's particularly useful when there is missing data or when variables are strongly related to each other.

Latent Class Analysis

A statistical method used to identify subgroups of related cases from multivariate categorical data. It's often used in market segmentation to identify groups with similar response patterns.

Leading question

A badly constructed question that tends to steer respondents toward a particular answer. Sometimes known as a loaded question, it should be avoided to prevent biased responses.

Least filled quota sampling

A variation of quota sampling where the research team attempts to fill the quotas in the most efficient way possible by selecting respondents from the sub-population that has the lowest representation in the sample.

Least squares approach

A regression procedure that is widely used for deriving the best-fit equation of a line for a given set of data involving a dependent and independent variable.

Lifetime value

The present value of the estimated future transactions and net income attributed to an individual customer relationship. It's crucial for customer relationship management and marketing strategy.

Likert scale

A rating scale which requires the respondent to state their level of agreement with a series of statements about a product, organization, or concept. It typically uses five points from "Strongly agree" to "Strongly disagree".

Linear regression

Used to find out the relative importance of different drivers in order to re-create a dependent variable. For example, the influence of brand imagery items on brand appeal.

Logistic regression

Used to find out the relative importance of different drivers in order to re-create a dependent variable when the dependent variable is binary. It's particularly useful in propensity modeling.

Longitudinal research

A study involving data collection at several periods in time, enabling trends over time to be examined. It may involve asking the same questions on multiple occasions to the same respondents or to respondents with similar characteristics.

Machine learning

A subset of AI that involves training computer models to learn from data and make predictions or decisions. In market research, it's increasingly used to automate much of the classification and analysis of both structured and unstructured data.

Mall intercept interviews

A type of market research technique where participants are approached in a shopping mall or other public area and asked to participate in a survey or interview. It allows for the collection of data from a diverse sample in a specific geographic location.

Market Basket Analysis

A data mining technique used to understand purchasing behavior by finding associations between different items that customers place in their "shopping baskets". It's often used in retail to inform product placement and promotions.

Market Research Online Communities (MROCs)

Groups of individuals recruited and engaged by a market research company to participate in ongoing research studies, surveys, and discussions about a specific topic or product. They provide ongoing insights and feedback.

Marketing research

The collection, analysis, and communication of information undertaken to assist decision making in marketing. It encompasses a wide range of methods and techniques to understand markets, consumers, and marketing effectiveness.

MaxDiff (Maximum Difference Scaling)

A technique used to understand relative importance or appeal amongst a list of features/statements. Respondents choose the most and least appealing/important items from sets, resulting in a ranking of all items.

MBC (Menu-Based Conjoint)

A specific type of conjoint analysis able to handle a variety of menu choice situations in which respondents make from one to multiple choices in the process of building their preferred selection.

The arithmetic average calculated by summing all of the values in a set of data and dividing by the number of cases. It's one of the most common measures of central tendency.

Measures of central tendency

Measures that indicate a typical value for a set of data by computing the mean, mode, or median. They provide a single value that attempts to describe a set of data.

Measures of dispersion

Measures that indicate how 'spread out' a set of data is. The most common are the range, the interquartile range, and the standard deviation.

The median is a measure of central tendency in statistics that represents the middle value in a sorted dataset. When all values are arranged in ascending or descending order, the median is the value that divides the dataset into two equal halves. It's one of the three primary measures of central tendency, alongside the mean and mode.

The method for calculating the median depends on whether the number of values in the dataset is odd or even.

Odd numbers Formula: Median position = (n + 1) / 2, where n is the number of values.

Even numbers Formula: Median = (Value at position n/2 + Value at position (n/2) + 1) / 2

Method Bias

When we say method we broadly refer to aspects of a test or task that can be a source of systematic measurement error. In a questionnaire, this includes the wording of instructions and items, or the response format (e.g. Likert, Visual Analogue Scale, etc). Many researchers, such as Podsakoff, MacKenzie, and Podsakoff’s (2012), also consider a study’s measurement context as a potential methodfactor.

Read our tips for reducing Method Bias

Mixed Mode Studies

Research studies that use a variety of collection methods in a single survey (e.g., using the same questionnaire online and face to face) in order to improve response rates and representativeness.

The mode is a statistical measure that represents the value that appears most frequently in a dataset. It's one of the three main measures of central tendency, alongside the mean and median. The mode is particularly useful for understanding the most common or typical value in a dataset, especially when dealing with categorical or discrete data.

Examples of Mode Calculation:

Example 1: Unimodal Data Dataset: 2, 3, 3, 4, 5, 5, 5, 6, 7 Mode: 5 (appears three times)

Example 2: Bimodal Data Dataset: Red, Blue, Green, Red, Yellow, Blue, Purple Modes: Red and Blue (each appears twice)

Example 3: No Mode Dataset: 1, 2, 3, 4, 5 No mode (all values appear once)

Monadic testing

A survey method where each respondent only evaluates one concept out of several being tested. It's commonly used in the early stages of product or concept development.

Multi stage sampling

A sampling approach where a number of successive sampling stages are undertaken before the final sample is obtained. It's often used when a complete list of the population is not available.

Multidimensional scaling

A statistical technique used to visualize the level of similarity of individual cases in a dataset. In market research, it's often used to create perceptual maps of brands or products.

Multiple discriminant analysis

A statistical technique used to classify individuals into one of two or more segments (or populations) on the basis of a set of measurements.

Multiple regression analysis

A statistical technique to examine the relationship between three or more variables and also to calculate the likely value of the dependent variable based on the values of two or more independent variables.

Multivariate data analysis

Statistical procedures that simultaneously analyze two or more variables on a sample of objects. Common techniques include multiple regression analysis, factor analysis, cluster analysis, and conjoint analysis.

Mystery shopping

A method of testing the quality of services provided to customers by using researchers posing as regular customers. It's used to assess whether employees are following company procedures or industry guidelines.

Short for "national representative sample," it refers to a research sample that is intended to be representative of the entire population of a country or region. It's crucial for studies aiming to generalize findings to a whole population.

Natural Language Processing (NLP)

A branch of AI that involves understanding and generating human language. In market research, it's used for tasks such as sentiment analysis, text classification, and chatbot interactions.

Net Promoter Score (NPS)

A measure of customer loyalty and advocacy, calculated by asking customers how likely they are to recommend a company's products or services to others. It's widely used as a simple metric of customer satisfaction and loyalty.

Netnography

A qualitative research method used to study online communities. It involves the systematic observation and analysis of the interactions, communications, and content generated by a group of people on the internet.

Neuroscience

Used in market research to provide an accurate and unbiased measure of consumer response. Techniques such as EEG and fMRI are used to measure brain activity and understand how people respond to marketing stimuli.

Nominal data

Numbers assigned to objects or phenomena as labels or identification numbers that name or classify but have no true numeric meaning. They're used for categorization only.

Non probability sampling

A set of sampling methods where a subjective procedure of selection is used, resulting in the probability of selection for each member of the population of interest being unknown. It's often used when probability sampling is not feasible.

Non response errors

An error in a study that arises when some of the potential respondents do not respond. This may occur due to respondents refusing or being unavailable to take part in the research.

Non sampling error

Errors that occur in a study that do not relate to sampling error. They tend to be classified into three broad types: sampling frame error, non-response error, and data error.

Normal distribution

A continuous distribution that is bell-shaped and symmetrical about the mean. It's important in statistics because many natural phenomena follow this distribution.

Null hypothesis

The hypothesis that is tested and is the statement of the status quo where no difference or effect is expected. It's typically what researchers try to disprove in statistical testing.

Observation

A data gathering approach where information is collected on the behavior of people, objects, and organizations without any questions being asked of the participants. It can provide insights into natural behavior.

Omnibus surveys

A data collection approach that is undertaken at regular intervals for a changing group of clients who share the costs involved in the survey's set-up, sampling, and interviewing. It's a cost-effective way to ask a few questions to a large sample.

Open ended question

Questions which allow respondents to reply in their own words. There are no pre-set choices of answers and the respondent can decide whether to provide a brief one-word answer or something very detailed and long.

Ordinal data

Numbers that have the labeling characteristics of nominal data, but also have the ability to communicate the rank order of the data. The numbers do not indicate absolute quantities, nor do they imply that the intervals between the numbers are equal.

Paired interviews

An in-depth interview involving two respondents such as married couples, business partners, teenage friends, or a mother and child. It can provide insights into shared decision-making processes.

Panel research

A research approach where comparative data is collected from the same respondents on more than one occasion. Panels can provide information on changes in behavior, awareness, and attitudes over time.

Participant observation

A research approach where the researcher interacts with the subject or subjects being observed. The best-known type of participant observation is mystery shopping.

Participant Validation

A validation technique that involves taking the findings from qualitative research back to the participants/respondents that were involved in the study and seeking their feedback. It helps ensure the validity of qualitative findings.

Passive data

Data that is collected without actively seeking out the information from a respondent/participant. This type of data is generated naturally through actions such as website visits, online purchases, geolocation, and social media activity.

Pearson's product moment correlation

A correlation approach that is used with interval and ratio data. It measures the strength and direction of the linear relationship between two variables.

Perceptual mapping

An analysis technique which involves the positioning of objects in perceptual space. Frequently used in determining the positioning of brands relative to their competitors.

Photo sorts

A projective technique which uses a set of photographs depicting different types of people. Respondents are then asked to connect the individuals in the photographs with the brands they think they would use.

A type of bar chart which uses pictures of the items being described rather than bars. It can make data more visually appealing and easier to understand quickly.

Pilot testing

The pre-testing of a questionnaire prior to undertaking a full survey. Such testing involves administering the questionnaire to a limited number of potential respondents in order to identify and correct flaws in the questionnaire design.

Placement tests

The testing of reactions to products in the home and where they are to be used. Respondents are given a new product to test in their own home or office, and their experiences and attitudes are then collected.

Population of interest

The total group of people that the researcher wishes to examine, study, or obtain information from. It typically reflects the target market or potential target market for the product or service being researched.

Predictive analytics

The use of data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. It's increasingly used in market research to forecast trends and behaviors.

Price Sensitivity Management (Van Westendorp)

A technique used to understand price preferences. Respondents are asked at what price they would consider a product to be too expensive, too cheap, etc. The optimal price point is determined where an equal proportion of respondents have said "too cheap" and "too expensive".

Primary data

Data collected by a program of observation, qualitative or quantitative research either separately or in combination to meet the specific objectives of a marketing research project. It's collected specifically for the research at hand.

Principal Component Analysis (PCA)

A descriptive method of multivariate analysis used to analyze numeric questions. It converts a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called Principal Components.

Probability sampling

A set of sampling methods where an objective procedure of selection is used, resulting in every member of the population of interest having a known probability of being selected. It allows for statistical inference from the sample to the population.

Programme evaluation and review technique (PERT)

A managerial tool used for scheduling a research project. It involves a probability-based scheduling approach that recognizes and measures the uncertainty of project completion times.

Projective questioning

A qualitative research technique that asks respondents to consider what other people would think about a situation, rather than directly asking about their own opinions. Also known as third-party techniques, these methods are used to uncover deeper attitudes or beliefs that respondents might be unwilling or unable to express directly about themselves.

This technique is part of a broader category of projective techniques used in market research to gain insights into consumers' subconscious thoughts and feelings

Proportionate stratified random sampling

A form of stratified random sampling where the units or potential respondents from each population subset are selected in proportion to the total number of each subset's units in the population. It ensures representation of all subgroups in the sample.

Psychographic segmentation

A method of dividing a market into segments based on consumers' personality traits, values, attitudes, interests, and lifestyles. It goes beyond demographic segmentation to understand the psychological aspects of consumer behavior.

Purchase intent scales

A scaling approach which is used to measure a respondent's intention to purchase a product or potential product. It's often used in concept testing and new product development research.

Qualitative research

Qualitative research is an unstructured research approach with a small number of carefully selected individuals used to produce non-quantifiable insights into behavior, motivations, and attitudes. Methods include focus groups and in-depth interviews.

Quantitative research

Quantitative research is a structured research approach involving a sample of the population to produce quantifiable insights into behavior, motivations, and attitudes. It typically involves larger sample sizes and statistical analysis.

Questionnaire design process

A stepped approach to the design of questionnaires. It involves determining the information needed, question content, question wording, response format, and question sequence.

Quota sampling

Quota sampling is a non-probability sampling technique used in market research to create a sample that reflects specific proportions of characteristics in the target population. In this method, researchers divide the population into subgroups or "cells" based on relevant demographic or psychographic variables such as age, gender, income, or education level. For each subgroup, a quota is set that corresponds to its proportion in the overall population. Researchers then collect data from individuals within each subgroup until the predetermined quotas are met. While quota sampling aims to achieve a representative sample and can be more cost-effective than probability sampling methods, it is subject to potential bias in the selection process. This is because the final choice of respondents within each quota is often left to the researcher's discretion, which may inadvertently introduce selection bias and limit the generalizability of results.

A measure of dispersion that calculates the difference between the largest and smallest values in a set of data. It's a simple measure of variability but is sensitive to outliers.

Actual 'real' numbers that have a meaningful absolute zero. All arithmetic operations are possible with such data, including meaningful ratios.

A statistical approach to examine the relationship between two variables. It identifies the nature of the relationship using an equation and can be used for prediction.

Reliability of scales

Refers to the extent to which a rating scale produces consistent or stable results. Stability is most commonly measured using test-retest reliability and consistency is measured using split-half reliability.

Research brief

A written document which sets out an organization's requirements from a marketing research project. This provides the specification against which the researchers will design the research project.

River sampling

A method that invites respondents to take a survey via online banners, ads, promotions, offers, and invitations placed on various websites and social media. Respondents are screened and routed to appropriate surveys based on their characteristics.

Role playing

A projective technique which involves a respondent being asked to act out the character of a brand. It can reveal perceptions and associations with the brand that might not be expressed directly.

When designing a questionnaire, routing refers to the survey logic that allows you to change or limit the content based on previous answers given by respondents. Also known as branching or skip logic.

A subset of the population of interest. In market research, we typically study a sample and use statistical inference to draw conclusions about the wider population.

Sampling error

The difference between the sample value and the true value of a phenomenon for the population being surveyed. It can be expressed mathematically, usually as the survey result plus or minus a certain percentage.

Scaling questions

Questions that ask respondents to assign numerical measures to subjective concepts such as attitudes, opinions, and feelings. Common types include Likert scales and semantic differential scales.

Screening criteria

Criteria used to ensure that the participants in a study are relevant, qualified, and representative of the target population. Screening questions are usually asked at the start of the study and may include demographics as well as questions such as brand usage and product ownership.

Screening questionnaire

A questionnaire used for identifying suitable respondents for a particular research activity, such as a group discussion or in-depth interview.

Secondary data

Information that has been previously gathered for some purpose other than the current research project. It may be data available within the organization (internal data) or information available from published and electronic sources originating outside the organization (external data).

Segmentation

The process of dividing markets into groups of people or occasions that are similar to each other, but different from other groups. It's used to target marketing efforts more effectively.

Semantic differential scales

A scaling approach which requires the respondent to rate a brand or concept using a set of bipolar adjectives or phrases (e.g., helpful and unhelpful; friendly and unfriendly). Each pair of adjectives is separated by a seven-category scale with neither numerical nor verbal labels.

The study of symbols and signs and how they communicate meaning. In market research, it involves analyzing the visual and linguistic elements of product packaging, advertising, and branding to understand cultural and emotional associations.

Sensory testing

A method of evaluating the characteristics of a product or food by measuring how it is perceived by the senses of smell, taste, sight, touch, and sound. It's used to assess product attributes and quality.

Sentence completion

A projective technique which involves providing respondents with an incomplete sentence or group of sentences and asking them to complete them. It can reveal underlying attitudes or perceptions.

Sentiment analysis

A form of text analytics that uses natural language processing and machine learning to determine the emotion expressed in a text. It's commonly used to analyze survey responses, user/customer feedback, and product reviews.

Sequential monadic testing

A survey method whereby each respondent provides feedback on two or more concepts in the same survey. The concepts should be presented in a random order to avoid order bias.

Share of Shelf (SOS)

A metric used to measure the proportion of space a product or brand occupies on a retail shelf compared to its competitors. It helps understand the visibility and accessibility of a product in the retail environment.

Share of Voice (SOV)

A measure of the proportion of advertising a brand or product receives compared to others in the same category. It helps understand how often a brand is advertised relative to its competitors.

Share of Wallet (SOW)

A metric used to measure a company's market share in terms of customer spending. It represents the proportion of a customer's total spending on a given product or service category that is going to a particular company.

Shelf impact testing equipment

Used to determine the visual impact of new packaging when placed on shelves next to competitors' products. It helps assess how well a product stands out in a retail environment.

Simple random sampling

A probability sampling method where every possible member of the population has an equal chance of being selected for the survey. Respondents are chosen using random numbers.

Simulated test markets

A research approach used to predict the potential results of a product launch and to experiment with changes to different elements of a product's marketing mix. It relies on simulated or laboratory-type testing and mathematical modeling.

Snowball sampling

Snowball sampling is a non-probability sampling procedure where additional respondents are identified and selected on the basis of referrals from initial respondents. It tends to be used where the population of interest is small or difficult to identify.

Social media analytics

The use of data from social media platforms to understand consumer behavior and sentiment, as well as to track the performance of campaigns or products. It provides insights into online conversations and trends.

Spearman's rank-order correlation

Spearman's rank-order correlation, often referred to as Spearman's rho , is a non-parametric statistical measure used to assess the strength and direction of the relationship between two ordinal variables. This technique is particularly valuable in market research when dealing with ranked data or when the relationship between variables may not be linear. It works by converting the raw scores of each variable into ranks and then calculating the correlation between these ranks. The resulting correlation coefficient ranges from -1 to +1, where -1 indicates a perfect negative correlation, +1 a perfect positive correlation, and 0 no correlation. Spearman's correlation is robust to outliers and doesn't require the assumption of normally distributed data, making it a versatile tool for analyzing various types of ordinal data in market research, such as customer satisfaction ratings, preference rankings, or Likert scale responses.

Split half reliability

Measures the internal consistency of a summated rating scale and refers to the consistency with which each item represents the overall construct of interest. The method involves randomly dividing the various scale items into two halves.

Standard deviation

A measure of dispersion that calculates the average distance that the values in a data set are away from the mean. It provides a measure of how spread out the data is.

Stapel scales

A scaling approach which is a variation of the semantic differential scaling approach. It uses a single descriptor and 10 response categories with no verbal labels.

Stimulus materials

Materials used in group discussions and individual depth interviews to communicate the marketer or advertiser's latest creative thinking for a product, packaging, or advertising to the respondents.

Stratified random sampling

A probability sampling procedure in which the chosen sample is forced to contain potential respondents from each of the key segments of the population. It ensures representation of all important subgroups.

Structural Equation Modelling

A statistical technique for testing and estimating causal relationships, using a combination of statistical data and qualitative causal assumptions. It allows for the construction of variables which are not measured directly.

Structured observation

A research approach where observers use a record sheet or form to count phenomena or to record their observations. It provides a systematic way of collecting observational data.

System 1 & System 2 thinking

A concept in psychology that describes two different ways the brain forms thoughts. System 1 is fast, instinctive, and emotional; System 2 is slower, more deliberative, and more logical. This concept is applied in market research to understand consumer decision-making processes.

Systematic sampling

A probability sampling approach similar to a simple random sample but which uses a skip interval (i.e., every nth person) rather than random numbers to select the respondents.

A hypothesis test about a single mean if the sample is too small to use the Z test. It's commonly used to determine if there is a significant difference between the means of two groups.

Tabular method of analysis

A method for analyzing qualitative research data using a large sheet of paper divided into boxes. It allows for systematic organization and comparison of qualitative data.

Test-retest reliability

Measures the stability of rating scale items over time. Respondents are asked to complete scales at two different times under as near identical conditions as possible.

Text Mining

The process of deriving high-quality information from text. It involves the discovery of patterns and trends in large volumes of unstructured text data.

Trend Analysis

A technique used to analyze the direction and rate of change in data over time. It's used to predict future values based on historical data.

Triangulation

Using a combination of different sources of data where the weaknesses in some sources are counterbalanced with the strengths of others. It increases the validity and reliability of research findings.

TURF (Total Unduplicated Reach and Frequency)

An analysis used for providing estimates of media or market potential and devising optimal communication and placement strategies. It's particularly useful for deciding on product ranges or media mixes.

Type I error

A Type I error, also known as a "false positive," is a fundamental concept in statistical hypothesis testing that has significant implications for market research. It occurs when a researcher incorrectly rejects a true null hypothesis, essentially concluding that there is a significant effect or relationship when, in reality, there isn't one. The probability of committing a Type I error is denoted by alpha (α), which is typically set at 0.05 or 0.01 in market research studies. This means that researchers accept a 5% or 1% chance of falsely detecting an effect. Type I errors can lead to misguided business decisions, such as implementing ineffective marketing strategies or product changes based on falsely perceived consumer preferences. To mitigate this risk, researchers must carefully consider their significance levels and sample sizes, and potentially employ multiple testing corrections when conducting numerous statistical tests simultaneously.

Type II error

A Type II error, also known as a "false negative," is a crucial concept in statistical hypothesis testing within market research. It occurs when a researcher fails to reject a false null hypothesis, essentially concluding that there is no significant effect or relationship when, in reality, one does exist. The probability of committing a Type II error is denoted by beta (β), and its complement (1-β) represents the power of the statistical test. Type II errors can have serious implications in market research, potentially leading to missed opportunities or overlooked insights. For instance, a company might fail to detect a genuine consumer preference or market trend, resulting in lost competitive advantage. To reduce the risk of Type II errors, researchers often increase sample sizes, choose more sensitive statistical tests, or adjust the significance level, balancing this against the risk of Type I errors. Understanding and managing both types of errors is essential for conducting robust and reliable market research.

See Population of interest.

Unstructured questions

See Open-ended questions.

Usability Testing

A technique used to evaluate a product by testing it with representative users. It's often used for websites, apps, and software to identify any usability problems and collect qualitative and quantitative data . Read more about usability testing on Prolific .

User generated content (UGC)

Online material such as comments, profiles, photographs that is produced by end users. It can be a valuable source of insights in market research.

UX (User Experience)

Refers to the overall experience of a person using a product or service, including the design, functionality, and ease of use. UX research is used to understand how people interact with a product, website, or service, and to identify areas for improvement.

Whether the subject requiring to be measured was actually measured. It's a crucial concept in ensuring that research findings are meaningful and accurate.

Verification

The process of checking and verifying the accuracy and reliability of data collected during research. This includes reviewing data for errors, inconsistencies, and missing information.

Viewing rooms

Specialist facilities/locations for group discussions. They are set out in the form of a boardroom or living-room setting with video cameras or a large one-way mirror built into one wall.

Virtual reality

Technology that can be used in market research to create immersive experiences for consumers, allowing researchers to gather data on how consumers interact with products and brands in a simulated environment.

VoC (Voice of Customer)

A research method used to collect customer feedback. It captures how customers feel about a business, product, or service, providing insights that can help create a stronger customer experience.

Refers to the second generation of the World Wide Web, characterized by the shift from static websites to dynamic, interactive, and user-generated content. It has significant implications for online market research.

Refers to the next generation of the World Wide Web, characterized by the integration of artificial intelligence, machine learning, and the decentralized web. It aims to create a more intelligent, rich, and interconnected web.

Web scraping

A technique used in market research to gather large amounts of data from the internet, such as information on prices, product reviews, or social media sentiment. This data can then be used to gain insights into market trends and consumer behavior.

The process of adjusting the value of survey responses to account for over- or under-representation of different categories of respondent. It's used to make the sample more representative of the population.

Word association tests

A projective technique that involves asking respondents what brands or products they associate with specific words. It's useful for understanding brand imagery and building rapport in group discussions.

A visual depiction of words used by respondents in qualitative research, open-ended survey questions, or content appearing on social media or reviews. The font size of the words is determined by the frequency of use.

A hypothesis test about a single mean where the sample size is larger than 30. It's used when the population standard deviation is known and the sample size is large.

High-quality human data to deliver world-leading research and AIs.

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COMMENTS

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A marketing research problem in this example is to discover the needs of the community and also to identify a potentially successful business venture. Many times, researchers define a research question or objectives in this first step.
9 Key Stages in the Marketing Research Process
Step 1: Defining the marketing research problem Defining a problem is the first step in the research process. In many ways, research starts with a problem facing management. This problem needs to be understood, the cause diagnosed, and solutions developed.
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Step 1: Identify the Problem. The first step for any marketing research activity is to clearly identify and define the problem you are trying to solve. You start by stating the marketing or business problem you need to address and for which you need additional information to figure out a solution. Next, articulate the objectives for the ...
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Market research is a process of gathering, analyzing, and interpreting information about a given market. It takes into account geographic, demographic, and psychographic data about past, current, and potential customers, as well as competitive analysis to evaluate the viability of a product offer.
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Market Research Problems, Alternatives, and Questions
Using these marketing questions will help you identify your knowledge gaps and create an appropriate research problem statement, which will guide the scope of your research. Compile a list of all the questions your marketing staff or researchers have relating to a specific topic or situation. Look for categories under which the questions can be ...
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What is a Research Problem? Characteristics, Types, and Examples
A research problem is at the heart of scientific inquiry. It guides the trajectory of an investigation, helping to define the research scope and identify the key questions that need to be answered. Read this detailed article to know more about what is a research problem, types, key characteristics, and how to define a research problem, with ...
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identify and determine the problem to study. Identifying a research problem is important. because, as the issue or concern in a particular setting that motivates and guides the need. Parlindungan ...
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Identifying market problems After you have interviewed potential users of your product and reviewed the results, the next step is to understand their common problems, which are also known as market problems. While your target market's problems might be stated in different ways, there could be recognizable patterns across the data. Look for common themes or attributes across all interviews.
The Marketing Research Process
Step 1: Identify the Problem. The first step for any marketing research activity is to clearly identify and define the problem you are trying to solve. You start by stating the marketing or business problem you need to address and for which you need additional information to figure out a solution.
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In market research, it's increasingly used to automate much of the classification and analysis of both structured and unstructured data. Mall intercept interviews. A type of market research technique where participants are approached in a shopping mall or other public area and asked to participate in a survey or interview.
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Identifying a Research Problem: A Step-by-Step Guide

Key Takeaways

Understanding the Essence of Identifying a Research Problem

Importance in Academic Research

Initial Steps to Identification

Exploring Sources for Research Problem Identification

Existing Theories and Frameworks

Consultation with Academic Mentors

Formulating the Research Problem

Setting Research Objectives

Determining Research Questions

How to Evaluate the Scope and Relevance of Your Research Problem

Significance to the Field

Potential Impact on Existing Knowledge

Techniques for Refining the Research Problem

Incorporating Feedback

Iterative Refinement Process

Challenges in Identifying a Research Problem

Dealing with Ambiguity

Balancing Novelty and Practicality

Advanced Strategies for Identifying a Research Problem

Utilizing Technology and Data Analytics

Engaging with Industry and Community Needs

Struggling to Navigate the Complexities of Identifying a Research Problem?

Frequently Asked Questions

Why is identifying a research problem important?

How do I identify a suitable research problem?

What are some common pitfalls in identifying a research problem?

Can technology help in identifying a research problem?

How can I refine my research problem?

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Collaborative Genius: 6 Hacks for Seamless Group Thesis Writing

Understanding the Difference Between Research Objectives and Research Questions

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9 Key stages in your marketing research process

The marketing research process – an overview

Step 1: Defining the marketing research problem

Step 2: Developing a research program: method of inquiry

Step 3: Developing a research program: research method

Step 4: Developing a research program: research design

Exploratory marketing research

Descriptive marketing research

Causal marketing research

Step 5: Choose your sample

Step 6: Gather data

Step 7: Analysis and interpretation

Step 8: The marketing research results

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What is market research?

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Types of market research

1. Qualitative research

2. Quantitative research

3. Exploratory research

4. Descriptive research

5. Causal research

6. Cross-sectional research