In the fast moving world of audience intelligence and marketing strategy, knowing the language is half the battle. A market research glossary is a reference guide that defines the specific terminology used by professionals to gather and interpret consumer and market data. This comprehensive glossary breaks down the essential concepts you’ll encounter, from A B testing to zero party data. Whether you’re a seasoned pro or just starting, a solid grasp of these terms will strengthen your strategy and help you interpret insights with confidence.
The global market research industry was valued at an impressive $81.13 billion in 2022 and continues to expand as new technologies emerge. Understanding this field is more critical than ever. Let’s dive into the definitions that power modern insights.
A
A B Testing
A B testing is an experiment where you split an audience into two or more groups to compare different versions of something, like a webpage, ad, or email. Group A sees one version, Group B sees another, and you measure which one performs better on a specific goal, like clicks or conversions. This data driven approach removes the guesswork from optimization.
Access Panel
An access panel is a pre recruited group of people who have agreed to participate in research studies. Panel companies maintain these databases, allowing researchers to quickly send surveys to specific target audiences without having to recruit them from scratch.
Artificial Intelligence (AI)
In market research, artificial intelligence refers to algorithms and machine learning models that analyze data and generate insights with minimal human help. AI can process massive datasets from survey results or social media to find patterns and predict behavior. The use of AI in market research is projected to grow at a 34.2% CAGR from 2025 to 2032. See how this powers our “AI persona generator” for building defensible personas in minutes.
Audience Thinking Sequence
This refers to the mental journey your audience takes when making a decision, often mapped by models like AIDA (Attention, Interest, Desire, Action). Understanding this sequence helps you structure your research and messaging to align with how people naturally form opinions and move toward a choice.
Audit
In a research context, an audit is a systematic review of a brand, marketing plan, or dataset. For example, a marketing audit examines all marketing activities to see what’s working and what isn’t. It’s a thorough check up to identify gaps and opportunities for improvement.
B
Bar Chart
A bar chart is a classic data visualization tool that uses rectangular bars to represent different categories of data. The length of each bar is proportional to its value, making it easy to compare quantities across groups, like sales by region or brand preference among different demographics. The first modern bar chart was created by William Playfair way back in 1786.
Base
In survey results, the base is the total number of respondents that a particular percentage is calculated from. For example, if a report says “50% of consumers prefer Brand A (base: 1,000),” it means 1,000 people were asked that question. The base size is crucial for understanding the reliability of the data.
Bayes’ Theorem
Bayes’ theorem is a statistical formula for updating our beliefs or probabilities as new evidence becomes available. It’s the mathematical foundation for learning from data. In market research, it’s used in advanced techniques like Bayesian statistics to refine predictions by combining prior knowledge with new survey results.
Behavioral Science
Behavioral science integrates insights from psychology and sociology to understand why consumers behave the way they do. It looks beyond what people say to explore the cognitive biases and mental shortcuts that drive real world decisions, like the power of social proof or the framing effect. To turn behaviors into actionable segments, start with our “behavioral segmentation guide.”
Big Data
Big data refers to extremely large and complex datasets that are too massive for traditional software to handle. It’s often defined by the “3 Vs”: Volume (huge amount), Velocity (high speed of creation), and Variety (different forms like text, images, and numbers). In market research, analyzing big data from sources like social media or transaction records can reveal consumer trends at a massive scale.
Biometric Research
Biometric research uses physiological measurements to understand a person’s subconscious reactions. This includes techniques like eye tracking (to see where people look), facial coding (to detect emotions), and galvanic skin response (to measure emotional arousal). These methods capture responses people might not be aware of or able to articulate.
Brand Tracking
Brand tracking, also known as a tracking study, is a type of longitudinal research where a brand’s health and performance are measured continuously over time. These studies use repeated surveys to monitor key metrics like brand awareness, perception, consideration, and usage against competitors.
C
Completion Rate
The completion rate is the percentage of people who started a survey and finished it. If 1,000 people begin a survey and 800 complete it, the completion rate is 80%. A low completion rate can signal issues with the survey design, such as being too long or confusing.
Connected Data
Connected data refers to the practice of integrating datasets from different sources to create a more holistic view of the customer. This could mean combining survey responses with website behavior, purchase history, and CRM data to uncover deeper insights and create a unified profile.
Consumer Insight
A consumer insight is a deep, meaningful understanding of a consumer’s behavior, attitude, or unmet need that a brand can use to create value. It’s not just data; it’s the “aha” moment that explains the why behind the numbers. To put insights into action, learn how to “collect and apply customer insights.”
Control Group
In an experiment, the control group is the group that does not receive the treatment or change being tested. It serves as a baseline for comparison. For example, when testing a new ad, the control group wouldn’t see it. By comparing their behavior to the group that did see the ad, you can measure the ad’s true impact.
Cost Per Complete (CPC)
Cost per complete is the average price paid to get one fully completed survey. If a research project costs $5,000 and yields 1,000 completed surveys, the CPC is $5. This metric is crucial for budgeting and managing fieldwork costs, especially when using online panels.
Cronbach’s Alpha
Cronbach’s alpha is a statistical measure of internal consistency or reliability for a set of survey questions. It tells you how well multiple questions that are supposed to measure the same underlying concept (like “brand loyalty”) actually hang together. A score of 0.70 or higher is generally considered acceptable.
Cross Sectional Research
Cross sectional research involves collecting data from a sample of a population at a single point in time. It’s like taking a snapshot. Most one off surveys are cross sectional, providing a quick look at attitudes and behaviors as they exist at that moment.
Crossbreak
A crossbreak is another term for a crosstabulation or a subgroup analysis. When researchers talk about running crossbreaks, they mean they are breaking down the survey data by different demographic or behavioral groups (like age, gender, or region) to see how results vary.
Crosstabulation
Often called a crosstab, this is a data table that shows the relationship between two or more survey questions. For example, a crosstab could show brand preference broken down by age group, allowing you to see if younger consumers have different preferences than older ones. It’s a fundamental technique for finding patterns in survey data.
Customer Experience (CX)
Customer experience is a customer’s total perception of a company, based on every interaction they have across the entire customer journey. Research shows that 86% of buyers are willing to pay more for a better customer experience, making it a key area of focus for brands.
Customer Lifetime Value (CLV)
Customer lifetime value is a metric that predicts the total net profit a company can expect from a single customer over the entire duration of their relationship. CLV helps businesses make smarter decisions about marketing spend and customer retention efforts.
D
Data Cleaning
Data cleaning is the process of identifying and correcting (or removing) errors, inconsistencies, and inaccuracies in a dataset before analysis. This crucial step ensures the quality and reliability of research findings by removing things like duplicate entries, incomplete answers, or nonsensical responses.
Device ID
A device ID is a unique anonymous identifier assigned to a smartphone or tablet. In market research, device IDs are used for tracking user behavior across apps, delivering targeted surveys, and understanding mobile habits, all while protecting personal identity.
Dichotomous Question
A dichotomous question is a closed ended question that offers only two possible answers, such as “Yes/No” or “True/False”. These questions are simple for respondents to answer and easy to analyze but can sometimes oversimplify complex issues.
DIY Market Research
DIY (Do It Yourself) market research refers to research conducted by individuals or companies without hiring a specialized research agency. This is often done using self service platforms and online tools that make survey creation, distribution, and analysis more accessible.
Discrete Choice Modeling
This is a statistical technique used to understand and predict how people make choices between different options. It’s the engine behind conjoint analysis, where respondents choose between various product configurations. The model reveals the relative importance of each feature (like price, brand, and color) in driving decisions.
Discriminant Analysis
Discriminant analysis is a statistical method used to predict which group a person belongs to based on a set of predictor variables. For example, it could be used to identify the key survey answers that best distinguish loyal customers from those likely to churn.
Discussion Guide
A discussion guide is an outline of topics and questions used by a moderator to lead a qualitative research session, like a focus group or an in depth interview. It acts as a roadmap to ensure all research objectives are covered while allowing for a natural, flowing conversation.
Double Barreled Question
A double barreled question is a flawed survey question that asks about two different things at once but only allows for a single answer. For example, “How satisfied are you with our product’s price and quality?” This is confusing for respondents and makes the data impossible to interpret correctly.
Drop Off
Drop off occurs when a respondent starts a survey but leaves before completing it. A high drop off rate (the inverse of the completion rate) can indicate that the survey is too long, boring, or has technical issues.
E
Emotion Recognition
Emotion recognition is the use of technology, often AI, to detect human emotions from facial expressions, voice tone, or even text. In market research, it’s used to get a more authentic read on how people feel about an ad or product, capturing reactions that they might not explicitly state.
Engagement
In a survey context, engagement refers to the level of attention, effort, and thoughtfulness a respondent puts into their answers. Higher engagement leads to higher quality data, and researchers use techniques like gamification and good design to keep respondents engaged.
Ethnography
Ethnography is a qualitative research method where researchers observe people in their natural environment to understand their behavior and culture. This could involve visiting someone’s home to see how they use a product or shadowing them on a shopping trip to gain deep, contextual insights.
Eye Tracking
Eye tracking is a research method that measures a person’s eye movements to see where they look, in what order, and for how long. It’s often used to test the effectiveness of advertising, packaging, and website design by revealing what visual elements capture attention and which ones are ignored.
F
Face to Face Survey
A face to face survey is a method where an interviewer meets with a respondent in person to ask them questions. While it can be expensive, this method often yields high response rates and high quality data, as the interviewer can clarify questions and build rapport.
Factor Analysis
Factor analysis is a statistical technique used to identify underlying dimensions, or factors, within a large set of variables. For example, it could analyze 20 survey questions about a car and find that they boil down to three core factors: “Performance,” “Comfort,” and “Style.”
Feasibility Study
A feasibility study is a research project conducted before a major initiative to determine its likelihood of success. It assesses the practical, economic, and technical viability of a proposed plan or product, helping businesses decide if it’s worth the investment.
Fielding
Fielding, or fieldwork, is the phase of a research project when data is actively being collected from respondents. This is the period when the survey is live, interviews are being conducted, or focus groups are taking place.
Fieldwork Date
The fieldwork date (or dates) specifies the exact start and end of the data collection period. Reporting these dates is important for context, as public opinion and consumer behavior can change over time.
First Party Data
First party data is information that a company collects directly from its own customers and audience. This includes data from your website, CRM, and sales records. It’s highly valuable because it’s exclusive and you know exactly where it came from. Building a strategy on a foundation of your own data is crucial, which is why platforms like MixBright help you organize it as a first step. For details on data quality and evidence standards, see our “methodology and data integrity.”
Focus Group
A focus group is a qualitative research method where a small group of people (usually 6 to 10) are brought together to discuss a topic under the guidance of a trained moderator. It’s a great way to explore opinions, generate ideas, and understand group dynamics.
Frequency Distribution
A frequency distribution is a summary that shows how often each different value or category appears in a dataset. It can be a simple table or a chart that tells you, for example, how many people chose each option in a multiple choice question.
Funnel Sequence
A funnel sequence is a way of ordering survey questions to start broad and general, and then gradually narrow down to more specific topics. This approach feels more natural to respondents and prevents early, specific questions from biasing their answers to later, more general ones.
G
Gabor Granger Method
The Gabor Granger method is a pricing research technique used to determine the optimal price for a product. It works by asking consumers if they would buy a product at a series of different price points to identify the highest price they are willing to pay, which helps create a demand curve.
Galvanic Skin Response (GSR)
Also known as skin conductance, GSR is a biometric measure of the electricity conducting properties of the skin, which change with sweat levels. Since emotional arousal increases sweat, GSR is used to measure the intensity of a person’s emotional response to stimuli like ads or movie trailers.
Gamification
Gamification is the application of game like elements, such as points, badges, and progress bars, to non game contexts like surveys. The goal is to make the experience more fun and engaging for respondents, which can lead to higher completion rates and better data quality. In one experimental study, the gamified survey had a 70% completion rate versus 86% for the conventional survey.
Gantt Chart
A Gantt chart is a project management tool that visualizes a project schedule over time. In market research, it’s used to map out the different phases of a study, such as questionnaire design, fieldwork, and analysis, showing start dates, end dates, and dependencies for each task.
General Population Sample
A general population (or “gen pop”) sample is a group of survey respondents selected to be representative of the overall population of a country or region, without targeting any specific niche demographic or behavioral group.
Geodemographic Profiling
This is a market segmentation technique that classifies neighborhoods into distinct lifestyle clusters based on the idea that people who live near each other often share similar demographic and consumer characteristics. It’s based on the principle that “birds of a feather flock together.”
Geofencing
Geofencing uses GPS to create a virtual boundary around a real world location. In research, it can be used to trigger actions on a participant’s mobile device. For example, a respondent could be sent a survey right after they walk out of a specific retail store, capturing feedback in the moment.
Grid Question
A grid question, or matrix question, is a survey question type that groups several items with the same scale into a table. For example, you might ask respondents to rate their satisfaction with several different aspects of a service (e.g., speed, friendliness, price) on a scale from “Very Dissatisfied” to “Very Satisfied.”
Grounded Theory
Grounded theory is a qualitative research methodology where theory is developed directly from the data collected. Instead of starting with a hypothesis, the researcher gathers data (like interviews) and lets themes and theories emerge from the analysis itself.
H
Heatmap
A heatmap is a data visualization that uses color to represent the intensity or frequency of a phenomenon. In research, a website click heatmap shows where users click most, while an eye tracking heatmap shows where they look. Hotter colors like red indicate higher activity.
Hypothesis
A hypothesis is a specific, testable statement about the expected outcome of a research study. It’s a prediction that can be supported or refuted by data. For example, “Customers who watch our video ad will be 20% more likely to make a purchase than those who don’t.”
I
Implicit Association Test (IAT)
The IAT is a research method that measures the strength of a person’s subconscious associations between concepts. It can reveal implicit attitudes or biases by measuring reaction times as a person sorts words and images. For example, it might be used to uncover whether people implicitly associate a brand with “modern” or “outdated.”
Implicit Data
Implicit data is information that is not directly stated but is inferred from a person’s actions, such as their browsing behavior, response time on a survey, or mouse movements. It helps researchers understand unconscious preferences that may not be captured by direct questions.
In Depth Interview (IDI)
An in depth interview is a one on one qualitative interview where a researcher has a detailed, flowing conversation with a single participant. IDIs are excellent for exploring complex or sensitive topics in great detail, as they allow the interviewer to probe deeply into the participant’s personal experiences and feelings.
In Home Usage Test (IHUT)
An in home usage test is a study where consumers are given a product to use in their own homes over a period of time. They then provide feedback on their real world experience with the product, offering more authentic insights than could be gathered in a lab setting.
Incidence Rate (IR)
Incidence rate is the percentage of the general population that qualifies for a particular research study. A low incidence rate means you are targeting a very niche, hard to find audience, which typically increases the time and cost of the research.
Interviewer Bias
Interviewer bias occurs when the presence or behavior of the interviewer influences a respondent’s answers. This can happen consciously or unconsciously through the interviewer’s tone of voice, body language, or how they phrase questions, potentially skewing the results.
L
Longitudinal Research
Longitudinal research is a study that involves repeatedly observing or surveying the same group of participants over a period of time. This allows researchers to track changes, trends, and developments. Brand tracking studies are a common example of longitudinal research.
M
Margin of Error
The margin of error is a statistic that expresses the amount of random sampling error in a survey’s results. It’s the “plus or minus” percentage you often see with poll numbers. A smaller margin of error indicates that the results are more likely to be close to the “true” opinion of the overall population.
Market Research
Market research is the systematic process of gathering, analyzing, and interpreting information about a market, including consumers and competitors. Its purpose is to support businesses in making informed strategic decisions. Mastering this market research glossary is a key step in conducting effective work.
N
Nationally Representative Sample
A nationally representative sample is a survey sample that is structured to mirror the demographic characteristics of a country’s entire population, often based on census data for age, gender, region, and ethnicity. This ensures the findings can be generalized to the whole nation. If you’re planning segments by age, income, or region, review “demographic segmentation strategies and examples.”
Non Probability Sampling
Non probability sampling is a sampling method where participants are not selected randomly. Instead, they are chosen based on convenience or the judgment of the researcher. While easier and cheaper to execute, this method does not allow you to statistically generalize the findings to the entire population.
O
Online Panel
An online panel is a type of access panel where the pre recruited respondents have agreed to take surveys online. Major online panels have millions of members, providing researchers with fast access to a diverse range of consumers across the globe.
Online Urban Representative Sample
This is a survey sample designed to be representative of the population living in the major urban areas of a country. It’s often used when a product or service is primarily targeted at city dwellers.
Open Ended Question
An open ended question is a survey question that cannot be answered with a simple “yes” or “no” and instead requires the respondent to provide a detailed answer in their own words. It’s used to gather rich, qualitative feedback and uncover unexpected insights.
P
Piping
Piping is a survey feature that allows you to insert, or “pipe,” an answer from a previous question into the text of a later question. For example, if a respondent says their favorite brand is “Nike,” a later question could ask, “What do you like most about Nike?” This personalizes the survey experience.
Population
In research, the population is the entire group of people that you want to draw conclusions about. For example, if you are studying the coffee drinking habits of adults in Canada, the population is all adults in Canada. The sample is the smaller group from this population that you actually survey.
Primary Data
Primary data is data that is collected firsthand for a specific research purpose. When you conduct a survey, run a focus group, or perform an experiment, you are gathering primary data. This is distinct from secondary data, which has already been collected by someone else.
Primary Research
Primary research is the process of collecting primary data. It involves designing and executing a study from scratch to answer specific questions. This method provides direct, tailored insights for your unique business problem.
Probability Sampling
Probability sampling is a method where every member of the population has a known, non zero chance of being selected. This is the gold standard for quantitative research because it allows for the results to be statistically generalized to the entire population with a known margin of error. Random selection is the key principle.
Psychographic
Psychographics refer to a person’s psychological attributes, such as their lifestyle, values, interests, attitudes, and personality traits. Understanding the psychographics of your audience helps you go beyond demographics to understand why they buy. Crafting compelling personas requires deep psychographic insight, a task that tools like MixBright are designed to simplify. For a deeper dive, see our guide to “psychographic segmentation.”
Public Data
Public data is information that is freely available to the public, often collected and published by government agencies, academics, or non profits. Examples include census data, economic indicators, and public health statistics.
Public Opinion Research
Public opinion research specializes in measuring the attitudes and beliefs of the general public on social and political issues. This is the work often done by polling organizations like Gallup or Pew Research Center to understand the pulse of a nation.
Q
Qualification Rate
Similar to incidence rate, the qualification rate is the percentage of respondents who pass the screening questions for a survey and are deemed eligible to participate.
Qualitative Research
Qualitative research is an exploratory method used to gain a deep understanding of underlying reasons, opinions, and motivations. It involves non numerical data from methods like in depth interviews, focus groups, and ethnography. The goal is to uncover the “why” behind human behavior.
Quantitative Research
Quantitative research focuses on generating numerical data and hard facts by surveying a large number of people. The results are statistical and are often used to measure attitudes, test hypotheses, and generalize findings to a larger population.
Questionnaire
A questionnaire is a set of written questions used to gather information from respondents. It is the primary instrument for collecting data in a survey and can be administered online, on paper, or by an interviewer.
Quota
A quota is a target number of respondents with specific characteristics needed for a study. Researchers set quotas (e.g., 50% male, 50% female; 25% from each region) to ensure the final sample reflects the desired composition of the population.
R
Research Panel
A research panel is another term for an access panel, referring to a database of pre recruited individuals who have agreed to participate in market research studies.
Respondent
A respondent is an individual who participates in a research study by answering a survey, taking part in an interview, or joining a focus group. They are the source of the data.
Response Rate
The response rate is the percentage of people who completed a survey out of the total number who were invited to participate. A high response rate is desirable as it suggests the sample is less likely to be biased.
Routing
Routing, also known as skip logic or branching, is a survey feature that directs respondents to different questions or paths based on their previous answers. This ensures that participants are only asked questions that are relevant to them, creating a smoother and more logical experience.
S
Sample
A sample is a subset of a larger population that is selected to participate in a research study. Researchers study the sample to draw conclusions about the entire population it represents.
Sample Frame
The sample frame is the list or source from which a sample is drawn. For example, a company’s customer list could be the sample frame for a customer satisfaction survey. A good sample frame accurately represents the entire population of interest.
Sample Size
Sample size is the number of completed responses in a research study. A larger sample size generally leads to a smaller margin of error and more reliable results, but the right size depends on the study’s goals and the population’s variability.
Secondary Data
Secondary data is data that was collected by someone else for a different purpose but is available for you to use. This includes public data, syndicated reports, and academic studies. It’s a great starting point for research as it can save time and money.
Self Service Research
Self service research is another term for DIY market research, where organizations use automated platforms and tools to conduct research projects on their own without the help of a full service research agency.
Split Sample
A split sample technique involves dividing a survey sample into two or more groups and asking each group a different version of a question or showing them a different stimulus. This is used in A B testing and experimental designs to compare the effects of different variations.
Syndicated Data
Syndicated data is market research data that is collected by a research firm and then sold to multiple clients. Companies like Nielsen and Kantar produce syndicated data on topics like media consumption and retail sales, providing broad industry benchmarks.
T
Tracking Study
A tracking study is a type of longitudinal research that repeatedly measures the same metrics over time to track trends. Brand tracking is a common example, used to monitor brand health and the impact of marketing campaigns.
U
Urban Representative Sample
An urban representative sample is a survey sample that is statistically representative of the population living in a country’s urban areas.
W
Wave
In a longitudinal or tracking study, a wave refers to a single period of data collection. For example, a brand tracker might have a “Q1 Wave,” a “Q2 Wave,” and so on, with each wave consisting of a new round of surveys.
Weighting
Weighting is a statistical adjustment applied to survey data to make the sample more accurately reflect the demographic characteristics of the target population. If a survey has too many young people, for example, the responses from older people might be given more “weight” in the final analysis to correct the imbalance.
Z
Zero Party Data
Zero party data is information that a customer intentionally and proactively shares with a brand. This can include preferences, purchase intentions, and personal context. It’s highly valuable because it’s explicit and given with consent.
Keeping up with this market research glossary helps you not only understand the field but also leverage its power for smarter decisions. When you’re ready to turn these concepts into action, modern platforms can help. Tools like MixBright streamline the research workflow, transforming brand inputs into data driven insights and presentation ready personas. If you sell into complex organizations, explore our guide to “B2B buyer personas.” It’s a practical way to translate your knowledge from this market research glossary into real world impact.
Market Research Glossary: Frequently Asked Questions
What is a market research glossary?
A market research glossary is a list of key terms and their definitions that are commonly used in the field of market research. It serves as a reference guide to help professionals, students, and stakeholders understand the specific language and concepts of the industry.
Why is understanding market research terminology important?
Understanding the terminology is crucial for designing effective research, correctly interpreting results, and communicating findings clearly. It ensures everyone on a team or in a meeting is speaking the same language, which prevents misunderstandings and leads to better, data informed decisions.
What is the difference between qualitative and quantitative research?
Quantitative research focuses on numbers and statistical analysis, often using large samples to measure and generalize findings (the “what”). Qualitative research explores ideas and experiences in depth through methods like interviews and focus groups, seeking to understand the “why” behind the numbers.
How can I get started with market research?
A great first step is to define your business question clearly. Then, you can start with secondary research to see what information already exists. For primary research, user friendly DIY platforms have made it easier than ever to create and launch simple surveys. If you’re new to personas, begin with our “step-by-step guide to creating a buyer persona.” For more advanced needs like building a complete audience overview, you can explore automated platforms like MixBright that guide you through the process.
What’s the most important term in this market research glossary?
While every term has its place, “consumer insight” is arguably one of the most important. It represents the ultimate goal of all research: to uncover a deep, actionable truth about your audience that can drive business growth. All the other terms in this market research glossary are essentially tools and methods to help you find that insight.