what is the meaning of a quantitative market research

Quantitative Market Research: A Guide + Examples

Quantitative market research is a numbers game.

It’s one of the four types of traditional market research; and a tried, trusted, and proven way to get answers to strategically important questions. 

Whether you’re already familiar with quantitative research, looking for practical examples, or considering using it in your business, I will cover everything you need to know.

What is quantitative market research?

Quantitative market research collects numerical data to help answer a research question or objective. Popular forms of quantitative research include surveys, polls, questionnaires, and demographical data from primary and secondary sources. The data can be easily quantified, compared, and analyzed to establish patterns, trends, and insights that disprove or prove a research question. It’s used by large and small organizations, thanks to modern market research tools like Similarweb.

What questions can quantitative market research answer?

Quantitative data can help a company find answers to strategic questions. It can help organizations find patterns, spot trends, make predictions, and establish averages. Most questions that can be answered by quantitative research help determine the: how, when, what, and where. Some of these include:

• What is the market size ?
• How have the needs of a market changed?
• What is the number of people that make up your target audience?
• How many people are interested in buying your product?
• Is there a market for your products?
• Where does my target audience spend most of their time online?
• The frequency that people buy your product or service?
• How many people are aware of your brand, product, or service?
• What type of people are your best customers?
• How long do people spend on your website?
• What percentage of customers are happy with your product or service?

Read More: 98 Quantitative Market Research Questions & Examples

Types of quantitative market research design

Quantitative market research deals with secondary and primary data–as long as it’s presented in numerical form. There are five key techniques of quantitative research design to know.

Experimental research

Experimental research (AKA true experimental research) is a research technique that analyzes to prove a theory. In most cases, it will involve several theories yet to be proved or disproved.

This type of design creates a controlled environment where multiple variables are examined and observed to establish the cause and effect they each have. Various data types of manipulated in the process and each impact is assessed. The study aims to determine the precise conditions in which the different variables affect each other.

A few examples of experimental quantitative research design include

• The effect of Black Friday Marketing on the success of a business.
• Impact of service delivery issues on the perceived reliability of a brand.
• The effect of a gift with purchase on customer satisfaction levels.

Choosing a suitable quantitative research method is vital, as data collection can be utilized for different effects. For instance, statistics can be correlational (which helps infer conclusions about differences) or descriptive (which help to summarize data).

Descriptive research

This type of quantitative research is used to learn more about a specific topic, for instance:

Through observation, it measures different variables and investigates each in detail. It aims to describe characteristics– and is focused more on the ‘what’ of a research problem than the ‘why’ behind it. Aptly named, it describes a research subject without investigating why it happens.

A few examples of descriptive research include:

• A company’s Black Friday marketing campaign description.
• The description of service delivery issues a company or its customers face.
• An outline of what companies offer a gift with online purchases.

Quasi-experimental research

This is similar to experimental research (aka casual comparative research), which seeks to evaluate cause-and-effect relations among variables. However, in the case of quasi-experimental research, the key difference is that it’s an independent and dependent variable that is used.

This type of quantitative research design takes at least two types of data, analyzing each together to examine the differences–using a typical cause-and-effect methodology. Research is usually undertaken in a near-natural setting, with information being gathered from two groups.

• A naturally occurring group that’s closely matched with the original environment.
• A group that is not naturally present.

In doing this, causal links can be made. However, not all casual links will be correct due to other variables impacting results.

Examples of descriptive quantitative design include:

• The effect of the Black Friday campaign’s success on employee productivity.
• Service delivery issues effect on the public perception of a brand.
• The effect of free gifts on customer loyalty.

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Correlational research

Correlational research is usually conducted to determine the relationship between two closely related entities. It looks at how each impacts the other and details the changes that occur.

This type of quantitative research design examines relationships between multiple data types. It will examine the extent to which they align with one another or where they differ. It will not delve into casual links any deeper than this.

Examples of quantitative correlational design include:

• The relationship between Black Friday campaign success and annual revenues.
• Correlations between delivery issues and brand reputation.
• The relationship between free gifts and their perceived loyalty.

Quantitative market research data collection methods

You have a few options when considering which type of quantitative research is best. The first thing you’ll need to do is choose the data collection method. Below, I’ve summarized three of the most common quantitative research data collection methods.

This applies to telephone, video conference, or face-to-face interviews. While it’s an ideal way to connect with individuals to collect data, it’s a method that utilizes resources due to the time it takes to set up and conduct them.

A market research survey is a cost-effective way to collect quantitative data. Information can be obtained from large groups of people quickly, and the survey itself is relatively easy to set up. Your survey questions must be carefully considered for the results to provide meaningful data . When creating any form of survey for this type of market research , the questions should remain close-ended, giving participants a yes/no answer or one that requests a numerical result.

A few examples of quantitative market research survey questions include:

• Would you recommend Similarweb to a colleague?

2. On a scale of 1-10, with one being the lowest and ten being the highest, how would you rate your experience with the Similarweb customer support team today?

3. Could you find the information you were looking for on our site today?

4. On a scale of 1-10, with one being the lowest and ten being the highest, how easy could you find the information you were looking for on our site today?

5. Was your query resolved in full by our support representative?

While similar, a poll is a shorter survey version. It’s often used to give researchers a point-in-time perspective of a large group of people. Data can be collected in person, over the phone, or online. The costs for polls can vary, depending on whether you buy questions on an existing poll, such as YouGov, or if you opt for a more bespoke survey that you create from scratch.

Fun fact: The origins of polls date back to the 19th century. They were first used in America to predict the outcome of the presidential elections.

Quantitative market research advantages and disadvantages

As with all market research, there are pros and cons to consider. While there are many benefits of using quantitative market research, it’s important to weigh these up with the drawbacks to ensure you make the best choice for your project.

Benefits of quantitative market research

The information you obtain directly results from the questions asked and the audience you choose. Get these two factors right, and you’ll reap the rewards in your research. Here’s a quick summary of the advantages doing quantitative research offers.

• Collect a vast volume of data efficiently with a larger sample pool.
• Get a generalized view of a target audience and demographic.
• Results can be processed quickly as they are highly structured.
• Easy comparison of results from different groups of participants.
• Its objective–relying on solid numbers with fewer variables.
• Number-based research is ideal for analysis.

Disadvantages of quantitative market research

While all quantitative market research collection methods can generate insightful data showing a wider opinion, there are limitations to consider.

• If respondents are not representative of your target audience, this could potentially impact the accuracy of results–it’s also known as a sampling error.
• The wording of questions can impact the findings–consider this carefully when designing interviews, polls, or surveys.
• Quantitative research is close-ended, with no ability to receive data about the ‘why’ or ‘how’ behind the numbers. Findings can only provide a small part of the story without two-way dialogue.
• You’ll need a hypothesis and an appropriate model to avoid invalid results or bias to collect and analyze the data.

What strategies are used to ensure the accuracy of quantitative market research?

Researchers employ several strategies to ensure the accuracy of their quantitative market research. This includes using various data sources to ensure that no single source is unduly influencing the results. Additionally, researchers may use advanced statistical techniques such as regression analysis and factor analysis to ensure that their results are accurate and valid. Lastly, researchers may employ survey design principles such as random and stratified sampling to ensure that the results represent the studied population.

Using Similarweb for quantitative market research

For all the advantages that quantitative market research offers, it’s hard to ignore the limitations. Things like timeliness, bias, and the close-ended nature of this method all matter when you need to make important decisions and don’t have time to take on a lengthy research project.

That’s where we come in.

Depending on your market research questions, there’s usually a faster way to achieve your goals with insights gained from digital research intelligence software like Similarweb. Whether you want to learn more about a target audience, market, industry, or competitors, you can get up-to-date intel that’s on point, easy to understand, and accurate.

Consider your research question, and see what insights and information are available to you right now. With a world of data at your fingertips, you can harness Similarweb Digital Research Intelligence to uncover telling facts, that inform research and strengthen your position. Use it for:

Market Research

Benchmarking

Audience Insights

Company Research

Consumer Journey Tracking

Use it to uncover the insights you need to make decisions and develop strategies that help you win. 

Wrapping up

With all types of market research, it’s important to take a balanced approach. Organizations that use quantitative market research to get numerical data must balance this with qualitative data to understand the sentiment behind the numbers. So, while quantitative research has its advantages, it must be done in tandem with other research types to provide a complete picture that tells you what, when, how, and why.

Similarweb’s suite of digital intelligence solutions offers unbiased, accurate, honest insights you can trust. Take it for a trial run today, and see how it can power up  your research and save you time. 

What are the four types of market research?

The four main types of market research include primary, secondary, quantitative, and qualitative. While there are subcategories, most research falls into one of these four key categories.

What is the difference between quantitative and qualitative market research?

Quantitative market research is focused on numbers. It collects numerical data to inform a research question or develop a theory. On the other hand, qualitative research is more about consumer sentiment, looking at how and why people feel a certain way about a product, service, or brand.

What are the benefits of quantitative market research?

As it deals with numerical data, quantitative research data can be analyzed quickly and consistently. Future replication is an easy and effective way to conduct a broad study across a large sample size. There are also fewer variables as data is close-ended. Both collection and analysis can be automated and costs less than qualitative research.

What types of questions can quantitative market research answer?

Quantitative research can help answer questions that explain what, how much, when, and where. It seeks to quantify attitudes, behaviors, and opinions but can also be used for establishing averages, making future predictions, and trendspotting.

Who is quantitative market research for?

Quantitative research data delivers information that can help shed light on a market or business. This makes it valuable to both established firms and start-ups of any size. Practically, it can help with market sizing, forecasting, market validation , and more.

What advancements have been made in quantitative market research?

In the past decade, technological advances have enabled quantitative market research to become even more precise and comprehensive. AI and machine learning have allowed researchers to collect and analyze large amounts of data faster and more accurately.

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The Complete Guide to Quantitative Market Research

Quantitative research is a chief category in the research sphere, along with qualitative research. An encompassing aspect of market research , it can include both primary and secondary methods of extracting data. 

Although used interchangeably with qualitative research, quantitative research is a distinct process that should not be confused with its counterpart. In fact, it is the opposite of qualitative research.

Let’s navigate through the waters of quantitative research in this complete guide.

What Defines & Makes Up Quantitative Research?

As its name suggests, quantitative research is the process of aggregating quantitative, or numerical data for research purposes. This data is used for a number of applications. These include:

• Quantifying opinions, behaviors, attitudes and problems
• Making generalizations
• Forming predictions
• Discovering patterns
• Determining averages
• Testing relationships

Quantitative research generally relies on a larger sample size in order to quantify any issue or variable. In order to achieve this, this research method involves using mathematical and statistical means. 

This type of research answers the “what” and the “how much” of a subject within a research endeavor. As it forms generalizations, this type of method involves surveying a larger population, using measurable data and processing all the data first and then analyzing it from a statistical standpoint.

The Four Main Types of Quantitative Research

There are four main ways to perform quantitative research. Aside from their methodology, these sub-categories also seek different types of answers and conclusions.

1. Descriptive Research

This is used to determine the state of variables. It describes the situation and environment surrounding a variable or topic. As such, it is used for arranging comparisons, outlining sample characteristics, overlooking emerging trends and confirming existing phenomena.

The data is collected by way of observation. Descriptive Research is used to form a hypothesis, but only after having aggregated all the necessary data.

2. Correlational Research

This research method is used to examine the relationships between different subjects and variables. Analyzing relationships is necessary to either test a hypothesis or a prediction. Because this research focuses on relationships between fixed variables, other outlying variables are not part of the investigation.

Correlational research is in direct opposition to experimental research, as none of the studied variables are manipulated. Correlations can be either positive or negative, with different degrees of the relationship’s strength.

3. Experimental Research

This method is used for finding whether there is a cause and effect relationship among variables. This kind of research relies on the scientific method. Unlike correlational research, experimental research involves manipulating variables.

Researchers would manipulate a variable to uncover its effect on another one. This method is frequently referred to as true experimentation, as no experimental undertaking leaves all variables unchanged; at least one must be influenced in some way. 

This includes manipulating, randomizing or reverting back a variable. The variables are then measured, calculated and compared.

4. Survey Research

The final research method is crucial to understanding behavior. In market research, it is often used to acclimate a brand with its target market’s desires, needs, points of contention and behaviors.

Surveys allow researchers to ask pointed questions to either discover their target audience or get a granular sense of their opinions. As such, they can be conducted within one group or many, for the sake of comparison.

Instead of turning to survey panels , which are likely to have skewed or biased results, researchers should use a random sample of people. A non-panel-based survey will garner more respondents that aren’t motivated by professional compensation.

Surveys can be administered by mail,  in-person, on the phone, or digitally. The latter has even more options: online surveys, third-party surveys, emails and in-app.

Examples of Questions for Quantitative Research

Survey research has a far larger scope of questions than do the other three types, as researchers can ask practically anything to conduct their studies. However, there are some best practices in survey questionnaires, such as focusing on your industry, your product and the desires of customers.

Learn more about asking insightful market research questions . Here are a few examples of quantitative research questions in the three other categories.

• Is working from home the best option to improve productivity for employees with long commutes? Variable: Working from home and in-office Demographic: Employees with long commutes Quantitative Research Type : Experimental
• How has the coronavirus changed employment for white-collar workers? Variable: Employment types and statuses Demographic: White-collar workers Quantitative Research Type : Experimental
• How often do working people travel for a holiday? Variable: Amount of times respondents travel during a holiday Demographic: working people Quantitative Research Type : Descriptive
• How much would you pay for a subscription to an entertainment magazine? Variable: payments for a magazine subscription Demographic: women aged 14-44, those interested in celebrities Quantitative Research Type : Descriptive
• What is the difference in smartphone usage between Millennials and senior citizens? Variable: Time spent on using a smartphone Demographic: Millennials and seniors Quantitative Research Type: Correlational
• Does the leadership style of car shop owners predict the job satisfaction of car salespeople? Variable: Leadership style and job satisfaction Demographic: Car shop employers and salespeople Quantitative Research Type: Correlational 

When to Use Quantitative Research and How to Analyze It

The quantitative research method has specific use cases. You ought to consider which is best for your particular business, which includes your strategy, your marketing and other facets.

The core of quantitative research is to quantify a phenomenon (a problem, an inadequacy, and a slew of other occurrences) and understand its prevalence. Researchers do this by observing large portions of a population.

You should use this form of research whenever you need to be presented with the state of things at a higher level, or from a bird’s eye view. This Is because this type of research can identify links between various factors, look for correlations and discover cause and effect relationships.

Researchers can then use the results of their findings to form predictions. This is useful in market research when launching a new product, brainstorming product ideas or innovations or growing a customer base.

To analyze this research, it should first be made quantifiable and objective. Researchers should pin down the scales and units of measurements in their various studies. Then, they should organize them into easily interpretable formats.

For example, once you gather the numerical data, you can enter it into a spreadsheet. Thereafter, you can organize it by desegregating it into graphs, charts and tables. Finally, you should draw data-based conclusions from your study. You can also do further sleuthing via advanced analytics.

The Benefits and Drawbacks of Quantitative Research

Quantitative research has a bevy of benefits; it also has some hindrances. You should peruse both the positive and negative qualities of this research type before setting out on any major research project. The following may help you choose one form of research over the other, or use aspects of both.

• Larger sample pools: the larger the group of respondents, the more accurate are the results.
• Highly structured: Surveys, questionnaires, and other tools for recording numerical data
• Focused: The design of the study is determined before it begins
• Theory-based: Research tests a theory to provide support/proof
• Designed to Be Analyzed: Numbers/statistics exist as tables, charts, figures and other non-textual forms for easy analysis.
• Objective: Steering clear of bias as the research is separated from the data & only objective responses are sought.
• Direct comparisons of results: The study can be set in different cultural environments, times or different groups of participants with a statistical comparison of results.
• Focuses solely on numbers: This can be limiting as researchers may overlook other data and larger themes.
• Superficial Representations: It cannot adequately describe complex concepts (ex: feelings, opinions) it only shows the numbers behind them. 
• Several factors can invalidate results: A hypothesis and a model for collecting/ analyzing data.is required; any mistake can lead to bias and inaccurate illustrations.
• Erred Structure: If any data is missing or if measurements are not clear, biases easily take precedence.

The Final Word on Quantitative Research

Market research is far too encompassing to fully complete, especially in a limited amount of time. To tackle market research, begin with a research method. Quantitative research is often a good starting point, as it shows you the existence of a problem by way of quantifying it.

Aside from confirming the existence, it can help confirm a hypothesis, find correlations and prove cause and effect relationships. A hard set of data can also help you make educated predictions.

While the three types of quantitative research methods are useful, they do have several disadvantages. The fourth one, ie, survey research helps fill in the gaps and inadequacies of numerical limitations. Interestingly enough, they too can be a source of hard data and numbers. 

Either way, market research is sure to benefit from incorporating surveys as part of the processes.

Frequently asked questions

What is quantitative market research.

Quantitative market research utilizes the techniques of quantitative research in order to better understand the target market. In quantitative research, the information gathered from surveys and questionnaires is converted into numerical values so it can be easily analyzed.

What types of questions do quantitative research answer?

Quantitative research seeks to define “what” and “how much.” It is used for identifying patterns, making predictions, establishing averages, and quantifying opinions, attitudes or behaviors.

What are the four main types of quantitative research?

The four main types of quantitative research are survey research, correlational research, descriptive research, and experimental research.

What type of surveys are used for quantitative research?

Quantitative surveys are best suited for quantitative research. In this type of survey, there are no open-ended questions, and all responses can be assigned a numerical value. In most cases, a quantitative survey is distributed to a large and random sample of individuals.

Why are large sample sizes important when conducting quantitative research?

A small sample size can lead to inaccurate results. The larger the sample size (i.e. the group of individuals who receive the survey), the more likely it is that the results will be statistically significant and accurate.

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Quantitative research: Understanding the approaches and key elements

Quantitative research has many benefits and challenges but understanding how to properly conduct it can lead to a successful marketing research project.

Choosing the right quantitative approach

Editor’s note: Allison Von Borstel is the associate director of creative analytics at The Sound. This is an edited version of an article that originally appeared under the title “ Understanding Quantitative Research Approaches .”

What is quantitative research?

The systematic approaches that ground quantitative research involve hundreds or thousands of data points for one research project. The wonder of quantitative research is that each data point, or row in a spreadsheet, is a person and has a human story to tell. 

Quantitative research aggregates voices and distills them into numbers that uncover trends, illuminates relationships and correlations that inform decision-making with solid evidence and clarity.

The benefits of quantitative approach es

Why choose a quantitative   approach? Because you want a very clear story grounded in statistical rigor as a guide to making smart, data-backed decisions. 

Quantitative approaches shine because they:

Involve a lot of people

Large sample sizes (think hundreds or thousands) enable researchers to generalize findings because the sample is representative of the total population.  

They are grounded in statistical rigor

Allowing for precise measurement and analysis of data, providing statistically significant results that bolster confidence in research.

Reduce bias

Structured data collection and analysis methods enhance the reliability of findings. 

Boost efficiency

Quantitative methods often follow a qualitative phase, allowing researchers to validate findings by reporting the perspective of hundreds of people in a fraction of the time. 

Widen the analysis’ scope

The copious data collected in just a 20-minute (max) survey positions researchers to evaluate a broad spectrum of variables within the data. This thorough comprehension is instrumental when dealing with complex questions that require in-depth analysis. 

Quantitative approaches have hurdles, which include:

Limited flexibility

Once a survey is fielded, or data is gathered, there’s no opportunity to ask a live follow-up question. While it is possible to follow-up with the same people for two surveys, the likelihood of sufficient responses is small. 

Battling bots

One of the biggest concerns in data quality is making sure data represents people and not bots. 

Missing body language cues

Numbers, words and even images lack the cues that a researcher could pick up on during an interview. Unlike in a qualitative focus group, where one might deduce that a person is uncertain of an answer, in quantitative research, a static response is what the researcher works with.

Understanding quantitative research methods 

Quantitative approaches approach research from the same starting point as qualitative approaches – grounded in business objectives with a specific group of people to study. 

Once research has kicked off, the business objective thoroughly explored and the approach selected, research follows a general outline:  

Consider what data is needed

Think about what type of information needs to be gathered, with an approach in mind. While most quantitative research involves numbers, words and images also count.

• Numbers: Yes, the stereotypical rows of numbers in spreadsheets. Rows that capture people’s opinions and attitudes and are coded to numbers for comparative analytics. Numerical analysis is used for everything from descriptive statistics to regression/predictive analysis. 
• Words:  Text analysis employs a machine learning model to identify sentiment, emotion and meaning of text. Often used for sentiment analysis or content classification, it can be applied to single-word responses, elaborate open-ends, reviews or even social media posts.
• Images: Image analysis extracts meaningful information from images. A computer vision model that takes images as inputs and outputs numerical information (e.g., having a sample upload their favorite bag of chips and yielding the top three brands).

Design a survey

Create a survey to capture the data needed to address the objective. During this process, different pathways could be written to get a dynamic data set (capturing opinions that derive from various lived experiences). Survey logic is also written to provide a smooth UX experience for respondents.    

Prepare the data

The quality of quantitative research rests heavily on the quality of data. After data is collected (typically by fielding a survey or collecting already-existing data, more on that in a bit), it’s time to clean the data. 

Begin the analysis process

Now that you have a robust database (including numbers, words or images), it’s time to listen to the story that the data tells. Depending on the research approach used, advanced analytics come into play to tease out insights and nuances for the business objective. 

Tell the story

Strip the quantitative jargon and convey the insights from the research. Just because it’s quantitative research does not mean the results have to be told in a monotone drone with a monochrome chart. Answer business objectives dynamically, knowing that research is grounded in statistically sound information. 

The two options: Primary vs. secondary research

The two methods that encompass quantitative approaches are primary (collecting data oneself) and secondary (relying on already existing data).

Primary  research  is primarily used  

Most research involves primary data collection – where the researcher collects data directly. The main approach in primary research is survey data collection.  

The types of survey questions

Span various measurement scales (nominal, ordinal, interval and ratio) using a mix of question types (single and multi-choice, scales, matrix or open-ends).  

Analysis methods

Custom surveys yield great data for a variety of methods in market analysis. Here are a couple favorites: 

• Crosstabulation : Used to uncover insights that might not be obvious at first glance. This analysis organizes data into categories, revealing trends or patterns between variables. 
• Sentiment analysis: Used to sift through text to gauge emotions, opinions and attitudes. This method helps understand perception, fine-tune strategies and effectively respond to feedback.
• Market sizing: Used to map out the dimensions of a market. By calculating the total potential demand for a product or service in a specific market, this method reveals the scope of opportunities needed to make informed decisions about investment and growth strategies. 
• Conjoint analysis : Used to uncover what people value most in products or services. It breaks down features into bits and pieces and asks people to choose their ideal combo. By analyzing these preferences, this analysis reveals the hidden recipe for customer satisfaction.
• Job-To-Be-Done : Used to understand the underlying human motivations that drive people to act. People are multifaceted and experience a myriad of situations each day – meaning that a brand’s competition isn’t limited to in-category. 
• Segmentation: Used to identify specific cohorts within a greater population. It groups people with similar characteristics, behaviors or needs together. This method helps tailor products or services to specific groups, boosting satisfaction and sales.

Statistical rigor

Regardless of method, a quantitative approach then enables researchers to draw inferences and make predictions based upon the confidence in the data (looking at confidence intervals, margin of error, etc.)

Let’s not forget secondary research

By accessing a wide range of existing information, this research can be a cost-effective way to gain insights or can supplement primary research findings. 

Here are popular options: 

Government sources

Government sources can be extremely in-depth, can range across multiple industries and markets and reflect millions of people. This type of data is often instrumental for longitudinal or cultural trends analysis. 

Educational institutions

Research universities conduct in-depth studies on a variety of topics, often aggregating government data, nonprofit data and primary data.  

Client data

This includes any research that was conducted for or by companies before the   present research project. Whether it’s data gathered from customer reviews or prior quantitative work, these secondary resources can help extend findings and detect trends by connecting past data to future data.

Quantitative research enhances research projects

Quantitative research approaches are so much more than “how much” or “how many,” they reveal the   why   behind people’s actions, emotions and behaviors. By using standardized collection methods, like surveys, quant instills confidence and rigor in findings.

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Your ultimate guide to quantitative research.

10 min read You may be already using quantitative research and want to check your understanding, or you may be starting from the beginning. Here’s an exploration of this research method and how you can best use it for maximum effect for your business.

You may be already using quantitative research and want to check your understanding, or you may be starting from the beginning. Here’s an exploration of this research method and how you can best use it for maximum effect for your business.

What is quantitative research?

Quantitative is the research method of collecting quantitative data – this is data that can be converted into numbers or numerical data, which can be easily quantified, compared, and analysed.

Quantitative research deals with primary and secondary sources where data is represented in numerical form. This can include closed-question poll results, statistics, and census information or  demographic data .

Quantitative data tends to be used when researchers are interested in understanding a particular moment in time and examining data sets over time to find trends and patterns.

To collect numerical data, surveys are often employed as one of the main research methods to source first-hand information in  primary research . Qualitative research can also  come from third-party research studies .

Quantitative research is widely used in the realms of social sciences, such as psychology, economics, sociology, and marketing.

Research teams collect data that is significant to proving or disproving a hypothesis research question – known as the research objective. When they collect quantitative data, researchers will  aim to use a sample size that is representative  of the total population of the target market they’re interested in.

Then the data collected will be manually or automatically stored and compared for insights.

Learn how Qualtrics can enhance & simplify the quantitative research process

Qualitative vs quantitative research

While the quantitative research definition focuses on numerical data, qualitative research is defined as data that supplies non-numerical information.

Qualitative research focuses on the thoughts, feelings, and values of a participant, to understand why people act in the way they do. They result in data types like quotes, symbols, images, and written testimonials.

These data types tell researchers subjective information, which can help us assign people into categories, such as a participant’s religion, gender, social class, political alignment, likely favoured products to buy, or their preferred training learning style.

For this reason, qualitative research is often used in social research, as this gives a window into the behaviour and actions of people.

In general, if you’re interested in measuring something or testing a hypothesis, use quantitative methods. If you want to explore ideas, thoughts, and meanings, use qualitative methods.

However, quantitative and qualitative research methods are both recommended when you’re looking to understand a point in time, while also finding out the reason behind the facts.

Quantitative research data collection methods

Quantitative research methods can use structured research instruments like:

A survey is a simple-to-create and easy-to-distribute research method, which helps gather information from large groups of participants quickly. Traditionally, paper-based surveys can now be made online, so costs can stay quite low.

Quantitative questions tend to be closed questions that ask for a numerical result, based on a range of options, or a yes/no answer that can be tallied quickly.

Face-to-face or phone interviews

Interviews are a great way to connect with participants , though they require time from the research team to set up and conduct.

Researchers may also have issues connecting with participants in different geographical regions. The researcher uses a set of predefined close-ended questions, which ask for yes/no or numerical values.

Polls can be a shorter version of surveys, used to get a ‘flavour’ of what the current situation is with participants. Online polls can be shared easily, though polls are best used with simple questions that request a range or a yes/no answer.

Quantitative data is the opposite of qualitative research, another dominant framework for research in the social sciences, explored further below.

Quantitative data types

Quantitative research methods often deliver the following data types:

• Test Scores
• Per cent of training course completed
• Performance score out of 100
• Number of support calls active
• Customer Net Promoter Score (NPS)

When gathering numerical data, the emphasis is on how specific the data is, and whether they can provide an indication of what ‘is’ at the time of collection. Pre-existing statistical data can tell us what ‘was’ for the date and time range that it represented.

Quantitative research design methods (with examples)

Quantitative research has a number of quantitative research designs you can choose from:

Descriptive

This design type describes the state of a data type is telling researchers, in its native environment. There won’t normally be a clearly defined research question to start with. Instead,  data analysis will suggest a conclusion, which can become the hypothesis to investigate further.

Examples of descriptive quantitative design include:

• A description of child’s Christmas gifts they received that year
• A description of what businesses sell the most of during Black Friday
• A description of a product issue being experienced by a customer

Correlational

This design type looks at two or more data types, the relationship between them, and the extent that they differ or align. This does not look at the causal links deeper – instead statistical analysis looks at the variables in a natural environment.

Examples of correlational quantitative design include:

• The relationship between a child’s Christmas gifts and their perceived happiness level
• The relationship between a business’ sales during Black Friday and the total revenue generated over the year
• The relationship between a customer’s product issue and the reputation of the product

Causal-Comparative/Quasi-Experimental

This design type looks at two or more data types and tries to explain any relationship and differences between them, using a cause-effect analysis. The research is carried out in a near-natural environment, where information is gathered from two groups – a naturally occurring group that matches the original natural environment, and one that is not naturally present.

This allows for causal links to be made, though they might not be correct, as other variables may have an impact on results.

Examples of causal-comparative/quasi-experimental quantitative design include:

• The effect of children’s Christmas gifts on happiness
• The effect of Black Friday sales figures on the productivity of company yearly sales
• The effect of product issues on the public perception of a product

Experimental Research

This design type looks to make a controlled environment in which two or more variables are observed to understand the exact cause and effect they have. This becomes a quantitative research study, where data types are manipulated to assess the effect they have. The participants are not naturally occurring groups, as the setting is no longer natural. A quantitative research study can help pinpoint the exact conditions in which variables impact one another.

Examples of experimental quantitative design include:

• The effect of children’s Christmas gifts on a child’s dopamine (happiness) levels
• The effect of Black Friday sales on the success of the company
• The effect of product issues on the perceived reliability of the product

Quantitative research methods need to be carefully considered, as your data collection of a data type can be used to different effects. For example, statistics can be descriptive or correlational (or inferential). Descriptive statistics help us to summarise our data, while inferential statistics help infer conclusions about significant differences.

Advantages of quantitative research

• Easy to do : Doing quantitative research is more straightforward, as the results come in numerical format, which can be more easily interpreted.
• Less interpretation : Due to the factual nature of the results, you will be able to accept or reject your hypothesis based on the numerical data collected.
• Less bias : There are higher levels of control that can be applied to the research, so  bias can be reduced , making your data more reliable and precise.

Disadvantages of quantitative research

• Can’t understand reasons:  Quantitative research doesn’t always tell you the full story, meaning you won’t understand the context – or the why, of the data you see, why do you see the results you have uncovered?
• Useful for simpler situations:  Quantitative research on its own is not great when dealing with complex issues. In these cases, quantitative research may not be enough.

How to use quantitative research to your business’s advantage

Quantitative research methods may help in areas such as:

• Identifying which advert or landing page performs better
• Identifying  how satisfied your customers are
• How many customers are likely to recommend you
• Tracking how your brand ranks in awareness  and customer purchase intent
• Learn what consumers are likely to buy from your brand.

6 steps to conducting good quantitative research

Businesses can benefit from quantitative research by using it to evaluate the impact of data types. There are several steps to this:

• Define your problem or interest area : What do you observe is happening and is it frequent? Identify the data type/s you’re observing.
• Create a hypothesis : Ask yourself what could be the causes for the situation with those data types.
• Plan your quantitative research : Use structured research instruments like surveys or polls to ask questions that test your hypothesis.
• Data Collection : Collect quantitative data and understand what your data types are telling you. Using data collected on different types over long time periods can give you information on patterns.
• Data analysis : Does your information support your hypothesis? (You may need to redo the research with other variables to see if the results improve)
• Effectively present data : Communicate the results in a clear and concise way to help other people understand the findings.

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Market intelligence 9 min read, qualitative research questions 11 min read, ethnographic research 11 min read, business research methods 12 min read, qualitative research design 12 min read, business research 10 min read, qualitative research interviews 11 min read, request demo.

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Quantitative Market Research: The Complete Guide

Quantitative market research is an essential tool for businesses looking to gain insights into their target market and make data-driven decisions. In this guide, we’ll provide an overview of quantitative market research and the steps involved in conducting it.

What is Quantitative Market Research? Quantitative market research involves the collection and analysis of numerical data to understand the preferences, behavior, and opinions of a target audience. The goal is to provide statistically significant data that can be used to make informed business decisions.

Step 1 : Define the Research Problem The first step in conducting quantitative market research is to clearly define the research problem. What are the key questions that you want to answer? What specific information are you trying to obtain? Defining the research problem is essential as it will guide the entire research process.

Step 2: Develop the Research Plan Once the research problem is defined, the next step is to develop a research plan. This includes determining the target audience, selecting the research methodology, and designing the research instrument. The research plan should be comprehensive and clearly outline the research objectives, sample size, data collection method, and analysis plan.

Step 3: Collect Data The next step is to collect the data. There are several methods of data collection including surveys, polls, online questionnaires, and phone interviews. It’s essential to ensure that the sample size is representative of the target audience and that the data is collected using a standardized approach.

Step 4: Analyze Data Once the data is collected, the next step is to analyze it. The data should be organized and summarized using statistical analysis techniques such as mean, mode, and standard deviation. The objective is to identify patterns and trends in the data that can be used to make informed business decisions.

Step 5: Draw Conclusions The final step is to draw conclusions based on the data analysis. The conclusions should be based on the data and provide insights into the target audience. It’s essential to ensure that the conclusions are supported by statistical evidence and that they can be used to make informed business decisions.

Quantitative market research is a research method that involves collecting numerical data that can be analyzed statistically. This method is widely used in market research to gather information about customer behavior, opinions, and preferences. Here are some of the benefits of quantitative market research:

1. Large Sample Size: One of the significant benefits of quantitative research is the ability to collect data from a large sample size. This provides a more accurate representation of the population and reduces the margin of error.

2. Objective Results: Quantitative research provides objective results, as the data collected is numerical and can be analyzed statistically. This minimizes the impact of personal bias and ensures that the results are reliable and valid.

3. Easy Data Analysis: The data collected through quantitative research can be analyzed using statistical software, making it easy to identify trends, patterns, and correlations. This allows researchers to draw conclusions and make data-driven decisions.

4. Cost-effective: Compared to other research methods, quantitative research is cost-effective. It requires fewer resources and can be conducted quickly and efficiently, making it an ideal method for businesses with limited budgets.

5. Easy to Replicate: Quantitative research is easy to replicate as it involves standard methods of data collection and analysis. This allows businesses to conduct similar research in different locations or with different groups of people, ensuring consistency in the results.

6. Measurable Results: The numerical data collected through quantitative research provides measurable results, making it easy to track progress over time. This is particularly useful in tracking customer satisfaction or changes in customer behavior.

In summary, quantitative market research is a reliable and cost-effective method for gathering data, providing objective results that can be easily analyzed and replicated. These benefits make it an essential tool for businesses looking to make data-driven decisions and stay competitive in the market.

Quantitative market research is a powerful tool for businesses looking to gain insights into their target audience. It’s essential to define the research problem, develop a research plan, collect and analyze the data, and draw conclusions based on the data analysis. By following these steps, businesses can make data-driven decisions that can help them succeed in the market. To know more about quantitative research reach us at www.philomathresearch.com

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Home » Quantitative Research – Methods, Types and Analysis

Quantitative Research – Methods, Types and Analysis

Table of Contents

Quantitative Research

Quantitative research is a type of research that collects and analyzes numerical data to test hypotheses and answer research questions . This research typically involves a large sample size and uses statistical analysis to make inferences about a population based on the data collected. It often involves the use of surveys, experiments, or other structured data collection methods to gather quantitative data.

Quantitative Research Methods

Quantitative Research Methods are as follows:

Descriptive Research Design

Descriptive research design is used to describe the characteristics of a population or phenomenon being studied. This research method is used to answer the questions of what, where, when, and how. Descriptive research designs use a variety of methods such as observation, case studies, and surveys to collect data. The data is then analyzed using statistical tools to identify patterns and relationships.

Correlational Research Design

Correlational research design is used to investigate the relationship between two or more variables. Researchers use correlational research to determine whether a relationship exists between variables and to what extent they are related. This research method involves collecting data from a sample and analyzing it using statistical tools such as correlation coefficients.

Quasi-experimental Research Design

Quasi-experimental research design is used to investigate cause-and-effect relationships between variables. This research method is similar to experimental research design, but it lacks full control over the independent variable. Researchers use quasi-experimental research designs when it is not feasible or ethical to manipulate the independent variable.

Experimental Research Design

Experimental research design is used to investigate cause-and-effect relationships between variables. This research method involves manipulating the independent variable and observing the effects on the dependent variable. Researchers use experimental research designs to test hypotheses and establish cause-and-effect relationships.

Survey Research

Survey research involves collecting data from a sample of individuals using a standardized questionnaire. This research method is used to gather information on attitudes, beliefs, and behaviors of individuals. Researchers use survey research to collect data quickly and efficiently from a large sample size. Survey research can be conducted through various methods such as online, phone, mail, or in-person interviews.

Quantitative Research Analysis Methods

Here are some commonly used quantitative research analysis methods:

Statistical Analysis

Statistical analysis is the most common quantitative research analysis method. It involves using statistical tools and techniques to analyze the numerical data collected during the research process. Statistical analysis can be used to identify patterns, trends, and relationships between variables, and to test hypotheses and theories.

Regression Analysis

Regression analysis is a statistical technique used to analyze the relationship between one dependent variable and one or more independent variables. Researchers use regression analysis to identify and quantify the impact of independent variables on the dependent variable.

Factor Analysis

Factor analysis is a statistical technique used to identify underlying factors that explain the correlations among a set of variables. Researchers use factor analysis to reduce a large number of variables to a smaller set of factors that capture the most important information.

Structural Equation Modeling

Structural equation modeling is a statistical technique used to test complex relationships between variables. It involves specifying a model that includes both observed and unobserved variables, and then using statistical methods to test the fit of the model to the data.

Time Series Analysis

Time series analysis is a statistical technique used to analyze data that is collected over time. It involves identifying patterns and trends in the data, as well as any seasonal or cyclical variations.

Multilevel Modeling

Multilevel modeling is a statistical technique used to analyze data that is nested within multiple levels. For example, researchers might use multilevel modeling to analyze data that is collected from individuals who are nested within groups, such as students nested within schools.

Applications of Quantitative Research

Quantitative research has many applications across a wide range of fields. Here are some common examples:

• Market Research : Quantitative research is used extensively in market research to understand consumer behavior, preferences, and trends. Researchers use surveys, experiments, and other quantitative methods to collect data that can inform marketing strategies, product development, and pricing decisions.
• Health Research: Quantitative research is used in health research to study the effectiveness of medical treatments, identify risk factors for diseases, and track health outcomes over time. Researchers use statistical methods to analyze data from clinical trials, surveys, and other sources to inform medical practice and policy.
• Social Science Research: Quantitative research is used in social science research to study human behavior, attitudes, and social structures. Researchers use surveys, experiments, and other quantitative methods to collect data that can inform social policies, educational programs, and community interventions.
• Education Research: Quantitative research is used in education research to study the effectiveness of teaching methods, assess student learning outcomes, and identify factors that influence student success. Researchers use experimental and quasi-experimental designs, as well as surveys and other quantitative methods, to collect and analyze data.
• Environmental Research: Quantitative research is used in environmental research to study the impact of human activities on the environment, assess the effectiveness of conservation strategies, and identify ways to reduce environmental risks. Researchers use statistical methods to analyze data from field studies, experiments, and other sources.

Characteristics of Quantitative Research

Here are some key characteristics of quantitative research:

• Numerical data : Quantitative research involves collecting numerical data through standardized methods such as surveys, experiments, and observational studies. This data is analyzed using statistical methods to identify patterns and relationships.
• Large sample size: Quantitative research often involves collecting data from a large sample of individuals or groups in order to increase the reliability and generalizability of the findings.
• Objective approach: Quantitative research aims to be objective and impartial in its approach, focusing on the collection and analysis of data rather than personal beliefs, opinions, or experiences.
• Control over variables: Quantitative research often involves manipulating variables to test hypotheses and establish cause-and-effect relationships. Researchers aim to control for extraneous variables that may impact the results.
• Replicable : Quantitative research aims to be replicable, meaning that other researchers should be able to conduct similar studies and obtain similar results using the same methods.
• Statistical analysis: Quantitative research involves using statistical tools and techniques to analyze the numerical data collected during the research process. Statistical analysis allows researchers to identify patterns, trends, and relationships between variables, and to test hypotheses and theories.
• Generalizability: Quantitative research aims to produce findings that can be generalized to larger populations beyond the specific sample studied. This is achieved through the use of random sampling methods and statistical inference.

Examples of Quantitative Research

Here are some examples of quantitative research in different fields:

• Market Research: A company conducts a survey of 1000 consumers to determine their brand awareness and preferences. The data is analyzed using statistical methods to identify trends and patterns that can inform marketing strategies.
• Health Research : A researcher conducts a randomized controlled trial to test the effectiveness of a new drug for treating a particular medical condition. The study involves collecting data from a large sample of patients and analyzing the results using statistical methods.
• Social Science Research : A sociologist conducts a survey of 500 people to study attitudes toward immigration in a particular country. The data is analyzed using statistical methods to identify factors that influence these attitudes.
• Education Research: A researcher conducts an experiment to compare the effectiveness of two different teaching methods for improving student learning outcomes. The study involves randomly assigning students to different groups and collecting data on their performance on standardized tests.
• Environmental Research : A team of researchers conduct a study to investigate the impact of climate change on the distribution and abundance of a particular species of plant or animal. The study involves collecting data on environmental factors and population sizes over time and analyzing the results using statistical methods.
• Psychology : A researcher conducts a survey of 500 college students to investigate the relationship between social media use and mental health. The data is analyzed using statistical methods to identify correlations and potential causal relationships.
• Political Science: A team of researchers conducts a study to investigate voter behavior during an election. They use survey methods to collect data on voting patterns, demographics, and political attitudes, and analyze the results using statistical methods.

How to Conduct Quantitative Research

Here is a general overview of how to conduct quantitative research:

• Develop a research question: The first step in conducting quantitative research is to develop a clear and specific research question. This question should be based on a gap in existing knowledge, and should be answerable using quantitative methods.
• Develop a research design: Once you have a research question, you will need to develop a research design. This involves deciding on the appropriate methods to collect data, such as surveys, experiments, or observational studies. You will also need to determine the appropriate sample size, data collection instruments, and data analysis techniques.
• Collect data: The next step is to collect data. This may involve administering surveys or questionnaires, conducting experiments, or gathering data from existing sources. It is important to use standardized methods to ensure that the data is reliable and valid.
• Analyze data : Once the data has been collected, it is time to analyze it. This involves using statistical methods to identify patterns, trends, and relationships between variables. Common statistical techniques include correlation analysis, regression analysis, and hypothesis testing.
• Interpret results: After analyzing the data, you will need to interpret the results. This involves identifying the key findings, determining their significance, and drawing conclusions based on the data.
• Communicate findings: Finally, you will need to communicate your findings. This may involve writing a research report, presenting at a conference, or publishing in a peer-reviewed journal. It is important to clearly communicate the research question, methods, results, and conclusions to ensure that others can understand and replicate your research.

When to use Quantitative Research

Here are some situations when quantitative research can be appropriate:

• To test a hypothesis: Quantitative research is often used to test a hypothesis or a theory. It involves collecting numerical data and using statistical analysis to determine if the data supports or refutes the hypothesis.
• To generalize findings: If you want to generalize the findings of your study to a larger population, quantitative research can be useful. This is because it allows you to collect numerical data from a representative sample of the population and use statistical analysis to make inferences about the population as a whole.
• To measure relationships between variables: If you want to measure the relationship between two or more variables, such as the relationship between age and income, or between education level and job satisfaction, quantitative research can be useful. It allows you to collect numerical data on both variables and use statistical analysis to determine the strength and direction of the relationship.
• To identify patterns or trends: Quantitative research can be useful for identifying patterns or trends in data. For example, you can use quantitative research to identify trends in consumer behavior or to identify patterns in stock market data.
• To quantify attitudes or opinions : If you want to measure attitudes or opinions on a particular topic, quantitative research can be useful. It allows you to collect numerical data using surveys or questionnaires and analyze the data using statistical methods to determine the prevalence of certain attitudes or opinions.

Purpose of Quantitative Research

The purpose of quantitative research is to systematically investigate and measure the relationships between variables or phenomena using numerical data and statistical analysis. The main objectives of quantitative research include:

• Description : To provide a detailed and accurate description of a particular phenomenon or population.
• Explanation : To explain the reasons for the occurrence of a particular phenomenon, such as identifying the factors that influence a behavior or attitude.
• Prediction : To predict future trends or behaviors based on past patterns and relationships between variables.
• Control : To identify the best strategies for controlling or influencing a particular outcome or behavior.

Quantitative research is used in many different fields, including social sciences, business, engineering, and health sciences. It can be used to investigate a wide range of phenomena, from human behavior and attitudes to physical and biological processes. The purpose of quantitative research is to provide reliable and valid data that can be used to inform decision-making and improve understanding of the world around us.

Advantages of Quantitative Research

There are several advantages of quantitative research, including:

• Objectivity : Quantitative research is based on objective data and statistical analysis, which reduces the potential for bias or subjectivity in the research process.
• Reproducibility : Because quantitative research involves standardized methods and measurements, it is more likely to be reproducible and reliable.
• Generalizability : Quantitative research allows for generalizations to be made about a population based on a representative sample, which can inform decision-making and policy development.
• Precision : Quantitative research allows for precise measurement and analysis of data, which can provide a more accurate understanding of phenomena and relationships between variables.
• Efficiency : Quantitative research can be conducted relatively quickly and efficiently, especially when compared to qualitative research, which may involve lengthy data collection and analysis.
• Large sample sizes : Quantitative research can accommodate large sample sizes, which can increase the representativeness and generalizability of the results.

Limitations of Quantitative Research

There are several limitations of quantitative research, including:

• Limited understanding of context: Quantitative research typically focuses on numerical data and statistical analysis, which may not provide a comprehensive understanding of the context or underlying factors that influence a phenomenon.
• Simplification of complex phenomena: Quantitative research often involves simplifying complex phenomena into measurable variables, which may not capture the full complexity of the phenomenon being studied.
• Potential for researcher bias: Although quantitative research aims to be objective, there is still the potential for researcher bias in areas such as sampling, data collection, and data analysis.
• Limited ability to explore new ideas: Quantitative research is often based on pre-determined research questions and hypotheses, which may limit the ability to explore new ideas or unexpected findings.
• Limited ability to capture subjective experiences : Quantitative research is typically focused on objective data and may not capture the subjective experiences of individuals or groups being studied.
• Ethical concerns : Quantitative research may raise ethical concerns, such as invasion of privacy or the potential for harm to participants.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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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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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?

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

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.

• 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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What Is Market Research?

• How It Works
• Primary vs. Secondary
• How to Conduct Research

The Bottom Line

• Marketing Essentials

How to Do Market Research, Types, and Example

Joules Garcia / Investopedia

Market research examines consumer behavior and trends in the economy to help a business develop and fine-tune its business idea and strategy. It helps a business understand its target market by gathering and analyzing data.

Market research is the process of evaluating the viability of a new service or product through research conducted directly with potential customers. It allows a company to define its target market and get opinions and other feedback from consumers about their interest in a product or service.

Research may be conducted in-house or by a third party that specializes in market research. It can be done through surveys and focus groups, among other ways. Test subjects are usually compensated with product samples or a small stipend for their time.

Key Takeaways

• Companies conduct market research before introducing new products to determine their appeal to potential customers.
• Tools include focus groups, telephone interviews, and questionnaires.
• The results of market research inform the final design of the product and determine how it will be positioned in the marketplace.
• Market research usually combines primary information, gathered directly from consumers, and secondary information, which is data available from external sources.

Market Research

How market research works.

Market research is used to determine the viability of a new product or service. The results may be used to revise the product design and fine-tune the strategy for introducing it to the public. This can include information gathered for the purpose of determining market segmentation . It also informs product differentiation , which is used to tailor advertising.

A business engages in various tasks to complete the market research process. It gathers information based on the market sector being targeted by the product. This information is then analyzed and relevant data points are interpreted to draw conclusions about how the product may be optimally designed and marketed to the market segment for which it is intended.

It is a critical component in the research and development (R&D) phase of a new product or service introduction. Market research can be conducted in many different ways, including surveys, product testing, interviews, and focus groups.

Market research is a critical tool that companies use to understand what consumers want, develop products that those consumers will use, and maintain a competitive advantage over other companies in their industry.

Primary Market Research vs. Secondary Market Research

Market research usually consists of a combination of:

• Primary research, gathered by the company or by an outside company that it hires
• Secondary research, which draws on external sources of data

Primary Market Research

Primary research generally falls into two categories: exploratory and specific research.

• Exploratory research is less structured and functions via open-ended questions. The questions may be posed in a focus group setting, telephone interviews, or questionnaires. It results in questions or issues that the company needs to address about a product that it has under development.
• Specific research delves more deeply into the problems or issues identified in exploratory research.

Secondary Market Research

All market research is informed by the findings of other researchers about the needs and wants of consumers. Today, much of this research can be found online.

Secondary research can include population information from government census data , trade association research reports , polling results, and research from other businesses operating in the same market sector.

History of Market Research

Formal market research began in Germany during the 1920s. In the United States, it soon took off with the advent of the Golden Age of Radio.

Companies that created advertisements for this new entertainment medium began to look at the demographics of the audiences who listened to each of the radio plays, music programs, and comedy skits that were presented.

They had once tried to reach the widest possible audience by placing their messages on billboards or in the most popular magazines. With radio programming, they had the chance to target rural or urban consumers, teenagers or families, and judge the results by the sales numbers that followed.

Types of Market Research

Face-to-face interviews.

From their earliest days, market research companies would interview people on the street about the newspapers and magazines that they read regularly and ask whether they recalled any of the ads or brands that were published in them. Data collected from these interviews were compared to the circulation of the publication to determine the effectiveness of those ads.

Market research and surveys were adapted from these early techniques.

To get a strong understanding of your market, it’s essential to understand demand, market size, economic indicators, location, market saturation, and pricing.

Focus Groups

A focus group is a small number of representative consumers chosen to try a product or watch an advertisement.

Afterward, the group is asked for feedback on their perceptions of the product, the company’s brand, or competing products. The company then takes that information and makes decisions about what to do with the product or service, whether that's releasing it, making changes, or abandoning it altogether.

Phone Research

The man-on-the-street interview technique soon gave way to the telephone interview. A telephone interviewer could collect information in a more efficient and cost-effective fashion.

Telephone research was a preferred tactic of market researchers for many years. It has become much more difficult in recent years as landline phone service dwindles and is replaced by less accessible mobile phones.

Survey Research

As an alternative to focus groups, surveys represent a cost-effective way to determine consumer attitudes without having to interview anyone in person. Consumers are sent surveys in the mail, usually with a coupon or voucher to incentivize participation. These surveys help determine how consumers feel about the product, brand, and price point.

Online Market Research

With people spending more time online, market research activities have shifted online as well. Data collection still uses a survey-style form. But instead of companies actively seeking participants by finding them on the street or cold calling them on the phone, people can choose to sign up, take surveys, and offer opinions when they have time.

This makes the process far less intrusive and less rushed, since people can participate on their own time and of their own volition.

How to Conduct Market Research

The first step to effective market research is to determine the goals of the study. Each study should seek to answer a clear, well-defined problem. For example, a company might seek to identify consumer preferences, brand recognition, or the comparative effectiveness of different types of ad campaigns.

After that, the next step is to determine who will be included in the research. Market research is an expensive process, and a company cannot waste resources collecting unnecessary data. The firm should decide in advance which types of consumers will be included in the research, and how the data will be collected. They should also account for the probability of statistical errors or sampling bias .

The next step is to collect the data and analyze the results. If the two previous steps have been completed accurately, this should be straightforward. The researchers will collect the results of their study, keeping track of the ages, gender, and other relevant data of each respondent. This is then analyzed in a marketing report that explains the results of their research.

The last step is for company executives to use their market research to make business decisions. Depending on the results of their research, they may choose to target a different group of consumers, or they may change their price point or some product features.

The results of these changes may eventually be measured in further market research, and the process will begin all over again.

Benefits of Market Research

Market research is essential for developing brand loyalty and customer satisfaction. Since it is unlikely for a product to appeal equally to every consumer, a strong market research program can help identify the key demographics and market segments that are most likely to use a given product.

Market research is also important for developing a company’s advertising efforts. For example, if a company’s market research determines that its consumers are more likely to use Facebook than X (formerly Twitter), it can then target its advertisements to one platform instead of another. Or, if they determine that their target market is value-sensitive rather than price-sensitive, they can work on improving the product rather than reducing their prices.

Market research only works when subjects are honest and open to participating.

Example of Market Research

Many companies use market research to test new products or get information from consumers about what kinds of products or services they need and don’t currently have.

For example, a company that’s considering starting a business might conduct market research to test the viability of its product or service. If the market research confirms consumer interest, the business can proceed confidently with its business plan . If not, the company can use the results of the market research to make adjustments to the product to bring it in line with customer desires.

What Are the Main Types of Market Research?

The main types of market research are primary research and secondary research. Primary research includes focus groups, polls, and surveys. Secondary research includes academic articles, infographics, and white papers.

Qualitative research gives insights into how customers feel and think. Quantitative research uses data and statistics such as website views, social media engagement, and subscriber numbers.

What Is Online Market Research?

Online market research uses the same strategies and techniques as traditional primary and secondary market research, but it is conducted on the Internet. Potential customers may be asked to participate in a survey or give feedback on a product. The responses may help the researchers create a profile of the likely customer for a new product.

What Are Paid Market Research Surveys?

Paid market research involves rewarding individuals who agree to participate in a study. They may be offered a small payment for their time or a discount coupon in return for filling out a questionnaire or participating in a focus group.

What Is a Market Study?

A market study is an analysis of consumer demand for a product or service. It looks at all of the factors that influence demand for a product or service. These include the product’s price, location, competition, and substitutes as well as general economic factors that could influence the new product’s adoption, for better or worse.

Market research is a key component of a company’s research and development (R&D) stage. It helps companies understand in advance the viability of a new product that they have in development and to see how it might perform in the real world.

Britannica Money. “ Market Research .”

U.S. Small Business Administration. “ Market Research and Competitive Analysis .”

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Home Market Research

Market Research: What it Is, Methods, Types & Examples

Would you like to know why, how, and when to apply market research? Do you want to discover why your consumers are not buying your products? Are you interested in launching a new product, service, or even a new marketing campaign, but you’re not sure what your consumers want?

LEARN ABOUT: Market research vs marketing research

To answer the questions above, you’ll need help from your consumers. But how will you collect that data? In this case and in many other situations in your business, market research is the way to get all the answers you need.

In this ultimate guide about market research, you’ll find the definition, advantages, types of market research, and some examples that will help you understand this type of research. Don’t forget to download the free ebook available at the end of this guide!

LEARN ABOUT: Perceived Value

Content Index

Three key objectives of market research

Why is market research important.

• Types of Market Research: Methods and Examples

Steps for conducting Market Research

Benefits of an efficient market research, 5 market research tips for businesses, why does every business need market research, free market research ebook, what is market research.

Market research is a technique that is used to collect data on any aspect that you want to know to be later able to interpret it and, in the end, make use of it for correct decision-making.

Another more specific definition could be the following:

Market research is the process by which companies seek to collect data systematically to make better decisions. Still, its true value lies in the way in which all the data obtained is used to achieve a better knowledge of the market consumer.

The process of market research can be done through deploying surveys , interacting with a group of people, also known as a sample , conducting interviews, and other similar processes.  

The primary purpose of conducting market research is to understand or examine the market associated with a particular product or service to decide how the audience will react to a product or service. The information obtained from conducting market research can be used to tailor marketing/ advertising activities or determine consumers’ feature priorities/service requirement (if any).

LEARN ABOUT: Consumer Surveys

Conducting research is one of the best ways of achieving customer satisfaction , reducing customer churn and elevating business. Here are the reasons why market research is important and should be considered in any business:

• Valuable information: It provides information and opportunities about the value of existing and new products, thus, helping businesses plan and strategize accordingly.
• Customer-centric: It helps to determine what the customers need and want. Marketing is customer-centric and understanding the customers and their needs will help businesses design products or services that best suit them. Remember that tracing your customer journey is a great way to gain valuable insights into your customers’ sentiments toward your brand.
• Forecasts: By understanding the needs of customers, businesses can also forecast their production and sales. Market research also helps in determining optimum inventory stock.
• Competitive advantage: To stay ahead of competitors market research is a vital tool to carry out comparative studies. Businesses can devise business strategies that can help them stay ahead of their competitors.

LEARN ABOUT: Data Analytics Projects

Types of Market Research: Market Research Methods and Examples

Whether an organization or business wishes to know the purchase behavior of consumers or the likelihood of consumers paying a certain cost for a product segmentation , market research helps in drawing meaningful conclusions.

LEARN ABOUT: Behavioral Targeting

Depending on the methods and tools required, the following are the types:

1. Primary Market Research (A combination of both Qualitative and Quantitative Research):

Primary market research is a process where organizations or businesses get in touch with the end consumers or employ a third party to carry out relevant studies to collect data. The data collected can be qualitative data (non-numerical data) or quantitative data (numerical or statistical data).

While conducting primary market research, one can gather two types of information: Exploratory and Specific. Exploratory research is open-ended, where a problem is explored by asking open ended questions in a detailed interview format usually with a small group of people, also known as a sample. Here the sample size is restricted to 6-10 members. Specific research, on the other hand, is more pinpointed and is used to solve the problems that are identified by exploratory research.

LEARN ABOUT: Marketing Insight

As mentioned earlier, primary market research is a combination of qualitative market research and quantitative market research. Qualitative market research study involves semi-structured or unstructured data collected through some of the commonly used qualitative research methods like:

Focus groups :

Focus group is one of the commonly used qualitative research methods. Focus group is a small group of people (6-10) who typically respond to online surveys sent to them. The best part about a focus group is the information can be collected remotely, can be done without personally interacting with the group members. However, this is a more expensive method as it is used to collect complex information.

One-to-one interview:

As the name suggests, this method involves personal interaction in the form of an interview, where the researcher asks a series of questions to collect information or data from the respondents. The questions are mostly open-ended questions and are asked to facilitate responses. This method heavily depends on the interviewer’s ability and experience to ask questions that evoke responses.

Ethnographic research :

This type of in-depth research is conducted in the natural settings of the respondents. This method requires the interviewer to adapt himself/herself to the natural environment of the respondents which could be a city or a remote village. Geographical constraints can be a hindering market research factor in conducting this kind of research. Ethnographic research can last from a few days to a few years.

Organizations use qualitative research methods to conduct structured market research by using online surveys , questionnaires , and polls to gain statistical insights to make informed decisions.

LEARN ABOUT: Qualitative Interview

This method was once conducted using pen and paper. This has now evolved to sending structured online surveys to the respondents to gain actionable insights. Researchers use modern and technology-oriented survey platforms to structure and design their survey to evoke maximum responses from respondents.

Through a well-structured mechanism, data is easily collected and reported, and necessary action can be taken with all the information made available firsthand.

Learn more: How to conduct quantitative research

2. Secondary Market Research:

Secondary research uses information that is organized by outside sources like government agencies, media, chambers of commerce etc. This information is published in newspapers, magazines, books, company websites, free government and nongovernment agencies and so on. The secondary source makes use of the following:

• Public sources: Public sources like library are an awesome way of gathering free information. Government libraries usually offer services free of cost and a researcher can document available information.
• Commercial sources: Commercial source although reliable are expensive. Local newspapers, magazines, journal, television media are great commercial sources to collect information.
• Educational Institutions: Although not a very popular source of collecting information, most universities and educational institutions are a rich source of information as many research projects are carried out there than any business sector.

Learn more: Market Research Example with Types and Methods

A market research project may usually have 3 different types of objectives.

• Administrative : Help a company or business development, through proper planning, organization, and both human and material resources control, and thus satisfy all specific needs within the market, at the right time.
• Social : Satisfy customers’ specific needs through a required product or service. The product or service should comply with a customer’s requirements and preferences when consumed.
• Economical : Determine the economical degree of success or failure a company can have while being new to the market, or otherwise introducing new products or services, thus providing certainty to all actions to be implemented.

LEARN ABOUT:  Test Market Demand

Knowing what to do in various situations that arise during the investigation will save the researcher time and reduce research problems . Today’s successful enterprises use powerful market research survey software that helps them conduct comprehensive research under a unified platform, providing actionable insights much faster with fewer problems.

LEARN ABOUT:  Market research industry

Following are the steps to conduct effective market research.

Step #1: Define the Problem

Having a well-defined subject of research will help researchers when they ask questions. These questions should be directed to solve problems and must be adapted to the project. Make sure the questions are written clearly and that the respondents understand them. Researchers can conduct a marketing test with a small group to know if the questions are going to know whether the asked questions are understandable and if they will be enough to gain insightful results.

Research objectives should be written in a precise way and should include a brief description of the information that is needed and the way in which it will obtain it. They should have an answer to this question “why are we doing the research?”

Learn more: Interview Questions

Step #2: Define the Sample

To carry out market research, researchers need a representative sample that can be collected using one of the many sampling techniques . A representative sample is a small number of people that reflect, as accurately as possible, a larger group.

• An organization cannot waste their resources in collecting information from the wrong population. It is important that the population represents characteristics that matter to the researchers and that they need to investigate, are in the chosen sample.
• Take into account that marketers will always be prone to fall into a bias in the sample because there will always be people who do not answer the survey because they are busy, or answer it incompletely, so researchers may not obtain the required data.
• Regarding the size of the sample, the larger it is, the more likely it is to be representative of the population. A larger representative sample gives the researcher greater certainty that the people included are the ones they need, and they can possibly reduce bias. Therefore, if they want to avoid inaccuracy in our surveys, they should have representative and balanced samples.
• Practically all the surveys that are considered in a serious way, are based on a scientific sampling, based on statistical and probability theories.

There are two ways to obtain a representative sample:

• Probability sampling : In probability sampling , the choice of the sample will be made at random, which guarantees that each member of the population will have the same probability of selection bias and inclusion in the sample group. Researchers should ensure that they have updated information on the population from which they will draw the sample and survey the majority to establish representativeness.
• Non-probability sampling : In a non-probability sampling , different types of people are seeking to obtain a more balanced representative sample. Knowing the demographic characteristics of our group will undoubtedly help to limit the profile of the desired sample and define the variables that interest the researchers, such as gender, age, place of residence, etc. By knowing these criteria, before obtaining the information, researchers can have the control to create a representative sample that is efficient for us.

When a sample is not representative, there can be a margin of error . If researchers want to have a representative sample of 100 employees, they should choose a similar number of men and women.

The sample size is very important, but it does not guarantee accuracy. More than size, representativeness is related to the sampling frame , that is, to the list from which people are selected, for example, part of a survey.

LEARN ABOUT: Behavioral Research If researchers want to continue expanding their knowledge on how to determine the size of the sample consult our guide on sampling here.

Step #3: Carry out data collection

First, a data collection instrument should be developed. The fact that they do not answer a survey, or answer it incompletely will cause errors in research. The correct collection of data will prevent this.

Step #4: Analyze the results

Each of the points of the market research process is linked to one another. If all the above is executed well, but there is no accurate analysis of the results, then the decisions made consequently will not be appropriate. In-depth analysis conducted without leaving loose ends will be effective in gaining solutions. Data analysis will be captured in a report, which should also be written clearly so that effective decisions can be made on that basis.

Analyzing and interpreting the results is to look for a wider meaning to the obtained data. All the previous phases have been developed to arrive at this moment. How can researchers measure the obtained results? The only quantitative data that will be obtained is age, sex, profession, and number of interviewees because the rest are emotions and experiences that have been transmitted to us by the interlocutors. For this, there is a tool called empathy map that forces us to put ourselves in the place of our clientele with the aim of being able to identify, really, the characteristics that will allow us to make a better adjustment between our products or services and their needs or interests. When the research has been carefully planned, the hypotheses have been adequately defined and the indicated collection method has been used, the interpretation is usually carried out easily and successfully. What follows after conducting market research?

Learn more: Types of Interviews

Step #5: Make the Research Report

When presenting the results, researchers should focus on: what do they want to achieve using this research report and while answering this question they should not assume that the structure of the survey is the best way to do the analysis. One of the big mistakes that many researchers make is that they present the reports in the same order of their questions and do not see the potential of storytelling.

To make good reports, the best analysts give the following advice: follow the inverted pyramid style to present the results, answering at the beginning the essential questions of the business that caused the investigation. Start with the conclusions and give them fundamentals, instead of accumulating evidence. After this researchers can provide details to the readers who have the time and interest.

Step #6: Make Decisions

An organization or a researcher should never ask “why do market research”, they should just do it! Market research helps researchers to know a wide range of information, for example,  consumer purchase intentions, or gives feedback about the growth of the target market. They can also discover valuable information that will help in estimating the prices of their product or service and find a point of balance that will benefit them and the consumers.

Take decisions! Act and implement.

Learn more: Quantitative Research

• Make well-informed decisions: The growth of an organization is dependent on the way decisions are made by the management. Using market research techniques, the management can make business decisions based on obtained results that back their knowledge and experience. Market research helps to know market trends, hence to carry it out frequently to get to know the customers thoroughly.

LEARN ABOUT: Research Process Steps

• Gain accurate information: Market research provides real and accurate information that will prepare the organization for any mishaps that may happen in the future. By properly investigating the market, a business will undoubtedly be taking a step forward, and therefore it will be taking advantage of its existing competitors.
• Determine the market size: A researcher can evaluate the size of the market that must be covered in case of selling a product or service in order to make profits.
• Choose an appropriate sales system: Select a precise sales system according to what the market is asking for, and according to this, the product/service can be positioned in the market.
• Learn about customer preferences: It helps to know how the preferences (and tastes) of the clients change so that the company can satisfy preferences, purchasing habits, and income levels. Researchers can determine the type of product that must be manufactured or sold based on the specific needs of consumers.
• Gather details about customer perception of the brand: In addition to generating information, market research helps a researcher in understanding how the customers perceive the organization or brand.
• Analyze customer communication methods: Market research serves as a guide for communication with current and potential clients.
• Productive business investment: It is a great investment for any business because thanks to it they get invaluable information, it shows researchers the way to follow to take the right path and achieve the sales that are required.

LEARN ABOUT: Total Quality Management

The following tips will help businesses with creating a better market research strategy.

Tip #1: Define the objective of your research.

Before starting your research quest, think about what you’re trying to achieve next with your business. Are you looking to increase traffic to your location? Or increase sales? Or convert customers from one-time purchasers to regulars? Figuring out your objective will help you tailor the rest of your research and your future marketing materials. Having an objective for your research will flesh out what kind of data you need to collect.

Tip #2: Learn About Your Target Customers.

The most important thing to remember is that your business serves a specific kind of customer. Defining your specific customer has many advantages like allowing you to understand what kind of language to use when crafting your marketing materials, and how to approach building relationships with your customer. When you take time to define your target customer you can also find the best products and services to sell to them.

You want to know as much as you can about your target customer. You can gather this information through observation and by researching the kind of customers who frequent your type of business. For starters, helpful things to know are their age and income. What do they do for a living? What’s their marital status and education level?

Learn more: Customer Satisfaction

Tip #3: Recognize that knowing who you serve helps you define who you do not.

Let’s take a classic example from copywriting genius Dan Kennedy. He says that if you’re opening up a fine dining steakhouse focused on decadent food, you know right off the bat that you’re not looking to attract vegetarians or dieters. Armed with this information, you can create better marketing messages that speak to your target customers.

It’s okay to decide who is not a part of your target customer base. In fact, for small businesses knowing who you don’t cater to can be essential in helping you grow. Why? Simple, if you’re small your advantage is that you can connect deeply with a specific segment of the market. You want to focus your efforts on the right customer who already is compelled to spend money on your offer.

If you’re spreading yourself thin by trying to be all things to everyone, you will only dilute your core message. Instead, keep your focus on your target customer. Define them, go deep, and you’ll be able to figure out how you can best serve them with your products and services.

Tip #4: Learn from your competition.

This works for brick-and-mortar businesses as well as internet businesses because it allows you to step into the shoes of your customer and open up to a new perspective of your business. Take a look around the internet and around your town. If you can, visit your competitor’s shops. For example, if you own a restaurant specializing in Italian cuisine, dine at the other Italian place in your neighborhood or in the next township.

As you experience the business from the customer’s perspective, look for what’s being done right and wrong.

Can you see areas that need attention or improvement? How are you running things in comparison? What’s the quality of their product and customer service ? Are the customers here pleased? Also, take a close look at their market segment. Who else is patronizing their business? Are they the same kinds of people who spend money with you? By asking these questions and doing in-person research, you can dig up a lot of information to help you define your unique selling position and create even better offers for your customers.

Tip #5: Get your target customers to open up and tell you everything.

A good customer survey is one of the most valuable market research tools because it gives you the opportunity to get inside your customer’s head. However, remember that some feedback may be harsh, so take criticism as a learning tool to point you in the right direction.

Creating a survey is simple. Ask questions about what your customer thinks you’re doing right and what can be improved. You can also prompt them to tell you what kinds of products and services they’d like to see you add, giving you fantastic insight into how to monetize your business more. Many customers will be delighted to offer feedback. You can even give customers who fill out surveys a gift like a special coupon for their next purchase.

Bonus Tip: Use an insight & research repository

An insight & research repository is a consolidated research management platform to derive insights about past and ongoing market research. With the use of such a tool, you can leverage past research to get to insights faster, build on previously done market research and draw trendlines, utilize research techniques that have worked in the past, and more.

Market research is one of the most effective ways to gain insight into your customer base , competitors , and the overall market. The goal of conducting market research is to equip your company with the information you need to make informed decisions.

It is especially important when small businesses are trying to determine whether a new business idea is viable, looking to move into a new market, or are launching a new product or service.  Read below for a more in-depth look at how market research can help small businesses.

• COMPETITION According to a study conducted by Business Insider, 72% of small businesses focus on increasing revenue. Conducting research helps businesses gain insight into competitor behavior. By learning about your competitor’s strengths and weaknesses, you can learn how to position your product or offering. In order to be successful, small businesses need to have an understanding of what products and services competitors are offering, and their price point.

Learn more: Trend Analysis

• CUSTOMERS Many small businesses feel they need to understand their customers, only to conduct market research and learn they had the wrong assumptions. By researching, you can create a profile of your average customer and gain insight into their buying habits, how much they’re willing to spend, and which features resonate with them. Additionally, and perhaps more importantly, you can learn what will make someone use your product or service over a competitor.

Learn more: Customer Satisfaction Survey

• OPPORTUNITIES Potential opportunities, whether they are products or services, can be identified by conducting market research. By learning more about your customers, you can gather insights into complementary products and services. Consumer needs change over time, influenced by new technology and different conditions, and you may find new needs that are not being met, which can create new opportunities for your business.

Learn more: SWOT Analysis 

• FORECAST A small business is affected by the performance of the local and national economy, as are its’ customers. If consumers are worried, then they will be more restrained when spending money, which affects the business. By conducting research with consumers, businesses can get an idea of whether they are optimistic or apprehensive about the direction of the economy, and make adjustments as necessary. For example, a small business owner may decide to postpone a new product launch if it appears the economic environment is turning negative.

Learn more: 300+ Market Research Survey Questionnaires

Market research and market intelligence may be as complex as the needs that each business or project has. The steps are usually the same. We hope this ultimate guide helps you have a better understanding of how to make your own market research project to gather insightful data and make better decisions.

LEARN ABOUT: Projective Techniques

We appreciate you taking the time to read this ultimate guide. We hope it was helpful! 

You can now download our free ebook that will guide you through a market research project, from the planning stage to the presentation of the outcomes and their analysis.

Sign up now, and download our free ebook: The Hacker’s Guide to Advanced Research Methodologies 

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Business Jargons

A Business Encyclopedia

Quantitative Market Research

 Definition: The Quantitative Market Research deals with the hard facts and statistical data rather than the opinions, feelings, and attitudes of the individuals. Here, the data are quantified to draw inferences about the customer’s behavior, attitude and preferences in numerical terms that can be easily interpreted and compared with other data facts.

The quantitative market research is often used to determine what proportion of the population possesses certain characteristics, attitudes, behaviors, knowledge and then its significance level is checked using the statistical analysis method. The quantitative research is based on large samples and addresses questions as:

• How often customer buys the product?
• What proportion of the population makes job searches online?
• How many customers will buy a product if a certain promotional strategy is introduced?
• How many customers rated the ambiance of the restaurant as ‘outstanding’.

Following quantitative market research techniques are used to collect data from the respondents:

• Personal Interviews: Often, the companies select the potential buyers and conduct a one-on-one interview with them to gain insights of the problem under study. The interviewer can either ask the respondent to come to a central location for the interview or conduct interview at his home by fixing an appointment. Here, the interviewer can include both the open-ended and closed-ended questions depending on the nature of the research objective.
• Web Surveys: Here, the researcher randomly selects the group of respondents and then send the questionnaires through e-mails to gather information about the problem concerned. Now a days, the web surveys are being extensively used by the organizations as it helps to gather information from a large group of people anytime and anywhere.
• Hybrid Survey Methods: Here two or more methods of quantitative research are used simultaneously to obtain a relevant and measurable data from the target audience. For example, the researcher can randomly select the respondents from a specific geographical area and then can use telephone survey to collect information from the female respondents and conduct personal interviews with male candidates.

Thus, the researcher can use either of the quantitative methods depending on the research objective and the kind of data generated which can be used for statistically analyzing the results.

Related terms:

• Primary Data Collection Methods
• Qualitative Market Research
• Marketing Research
• Types of Marketing Research
• Questionnaire

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Quantitative and Qualitative Research

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What is Quantitative Research?

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Quantitative methodology is the dominant research framework in the social sciences. It refers to a set of strategies, techniques and assumptions used to study psychological, social and economic processes through the exploration of numeric patterns . Quantitative research gathers a range of numeric data. Some of the numeric data is intrinsically quantitative (e.g. personal income), while in other cases the numeric structure is  imposed (e.g. ‘On a scale from 1 to 10, how depressed did you feel last week?’). The collection of quantitative information allows researchers to conduct simple to extremely sophisticated statistical analyses that aggregate the data (e.g. averages, percentages), show relationships among the data (e.g. ‘Students with lower grade point averages tend to score lower on a depression scale’) or compare across aggregated data (e.g. the USA has a higher gross domestic product than Spain). Quantitative research includes methodologies such as questionnaires, structured observations or experiments and stands in contrast to qualitative research. Qualitative research involves the collection and analysis of narratives and/or open-ended observations through methodologies such as interviews, focus groups or ethnographies.

Coghlan, D., Brydon-Miller, M. (2014).  The SAGE encyclopedia of action research  (Vols. 1-2). London, : SAGE Publications Ltd doi: 10.4135/9781446294406

What is the purpose of quantitative research?

The purpose of quantitative research is to generate knowledge and create understanding about the social world. Quantitative research is used by social scientists, including communication researchers, to observe phenomena or occurrences affecting individuals. Social scientists are concerned with the study of people. Quantitative research is a way to learn about a particular group of people, known as a sample population. Using scientific inquiry, quantitative research relies on data that are observed or measured to examine questions about the sample population.

Allen, M. (2017).  The SAGE encyclopedia of communication research methods  (Vols. 1-4). Thousand Oaks, CA: SAGE Publications, Inc doi: 10.4135/9781483381411

How do I know if the study is a quantitative design?  What type of quantitative study is it?

Quantitative Research Designs: Descriptive non-experimental, Quasi-experimental or Experimental?

Studies do not always explicitly state what kind of research design is being used.  You will need to know how to decipher which design type is used.  The following video will help you determine the quantitative design type.

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Types of market research: Methods and examples

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Here at GWI we publish a steady stream of blogs, reports, and other resources that dig deep into specific market research topics.

But what about the folks who’d appreciate a more general overview of market research that explains the big picture? Don’t they deserve some love too?

Of course they do. That’s why we’ve created this overview guide focusing on types of market research and examples. With so many market research companies to choose from, having a solid general understanding of how this sector works is essential for any brand or business that wants to pick the right market research partner.

So with that in mind, let’s start at the very beginning and get clear on…

Market research definition

At the risk of stating the slightly obvious, market research is the gathering and analyzing of data on consumers, competitors, distributors, and markets. As such it’s not quite the same as consumer research , but there’s significant overlap.

Market research matters because it can help you take the guesswork out of getting through to audiences. By studying consumers and gathering information on their likes, dislikes, and so on, brands can make evidence-based decisions instead of relying on instinct or experience. 

What is market research?

Market research is the organized gathering of information about target markets and consumers’ needs and preferences. It’s an important component of business strategy and a major factor in maintaining competitiveness.

If a business wants to know – really know – what sort of products or services consumers want to buy, along with where, when, and how those products and services should be marketed, it just makes sense to ask the prospective audience. 

Without the certainty that market research brings, a business is basically hoping for the best. And while we salute their optimism, that’s not exactly a reliable strategy for success.

What are the types of market research?

Primary research .

Primary research is a type of market research you either conduct yourself or hire someone to do on your behalf.

A classic example of primary research involves going directly to a source – typically customers or prospective customers in your target market – to ask questions and gather information about a product or service. Interviewing methods include in-person, online surveys, phone calls, and focus groups.

The big advantage of primary research is that it’s directly focused on your objectives, so the outcome will be conclusive, detailed insights – particularly into customer views – making it the gold standard.

The disadvantages are it can be time-consuming and potentially costly, plus there’s a risk of survey bias creeping in, in the sense that research samples may not be representative of the wider group.

Secondary research 

Primary market research means you collect the data your business needs, whereas the types of market research known as secondary market research use information that’s already been gathered for other purposes but can still be valuable. Examples include published market studies, white papers, analyst reports, customer emails, and customer surveys/feedback.

For many small businesses with limited budgets, secondary market research is their first choice because it’s easier to acquire and far more affordable than primary research.

Secondary research can still answer specific business questions, but with limitations. The data collected from that audience may not match your targeted audience exactly, resulting in skewed outcomes. 

A big benefit of secondary market research is helping lay the groundwork and get you ready to carry out primary market research by making sure you’re focused on what matters most.

Qualitative research

Qualitative research is one of the two fundamental types of market research. Qualitative research is about people and their opinions. Typically conducted by asking questions either one-on-one or in groups, qualitative research can help you define problems and learn about customers’ opinions, values, and beliefs.

Classic examples of qualitative research are long-answer questions like “Why do you think this product is better than competitive products? Why do you think it’s not?”, or “How would you improve this new service to make it more appealing?”

Because qualitative research generally involves smaller sample sizes than its close cousin quantitative research, it gives you an anecdotal overview of your subject, rather than highly detailed information that can help predict future performance.

Qualitative research is particularly useful if you’re developing a new product, service, website or ad campaign and want to get some feedback before you commit a large budget to it.

Quantitative research

If qualitative research is all about opinions, quantitative research is all about numbers, using math to uncover insights about your audience. 

Typical quantitative research questions are things like, “What’s the market size for this product?” or “How long are visitors staying on this website?”. Clearly the answers to both will be numerical.

Quantitative research usually involves questionnaires. Respondents are asked to complete the survey, which marketers use to understand consumer needs, and create strategies and marketing plans.

Importantly, because quantitative research is math-based, it’s statistically valid, which means you’re in a good position to use it to predict the future direction of your business.

Consumer research 

As its name implies, consumer research gathers information about consumers’ lifestyles, behaviors, needs and preferences, usually in relation to a particular product or service. It can include both quantitative and qualitative studies.

Examples of consumer research in action include finding ways to improve consumer perception of a product, or creating buyer personas and market segments, which help you successfully market your product to different types of customers.

Understanding consumer trends , driven by consumer research, helps businesses understand customer psychology and create detailed purchasing behavior profiles. The result helps brands improve their products and services by making them more customer-centric, increasing customer satisfaction, and boosting bottom line in the process.

Product research 

Product research gives a new product (or indeed service, we don’t judge) its best chance of success, or helps an existing product improve or increase market share.

It’s common sense: by finding out what consumers want and adjusting your offering accordingly, you gain a competitive edge. It can be the difference between a product being a roaring success or an abject failure.

Examples of product research include finding ways to develop goods with a higher value, or identifying exactly where innovation effort should be focused. 

Product research goes hand-in-hand with other strands of market research, helping you make informed decisions about what consumers want, and what you can offer them.

Brand research  

Brand research is the process of gathering feedback from your current, prospective, and even past customers to understand how your brand is perceived by the market.

It covers things like brand awareness, brand perceptions, customer advocacy, advertising effectiveness, purchase channels, audience profiling, and whether or not the brand is a top consideration for consumers.

The result helps take the guesswork out of your messaging and brand strategy. Like all types of market research, it gives marketing leaders the data they need to make better choices based on fact rather than opinion or intuition.

Market research methods 

So far we’ve reviewed various different types of market research, now let’s look at market research methods, in other words the practical ways you can uncover those all-important insights.

Consumer research platform 

A consumer research platform like GWI is a smart way to find on-demand market research insights in seconds.

In a world of fluid markets and changing attitudes, a detailed understanding of your consumers, developed using the right research platform, enables you to stop guessing and start knowing.

As well as providing certainty, consumer research platforms massively accelerate speed to insight. Got a question? Just jump on your consumer research platform and find the answer – job done.

The ability to mine data for answers like this is empowering – suddenly you’re in the driving seat with a world of possibilities ahead of you. Compared to the most obvious alternative – commissioning third party research that could take weeks to arrive – the right consumer research platform is basically a magic wand.

Admittedly we’re biased, but GWI delivers all this and more. Take our platform for a quick spin and see for yourself.

And the downside of using a consumer research platform? Well, no data set, however fresh or thorough, can answer every question. If you need really niche insights then your best bet is custom market research , where you can ask any question you like, tailored to your exact needs.

Face-to-face interviews 

Despite the rise in popularity of online surveys , face-to-face survey interviewing – using mobile devices or even the classic paper survey – is still a popular data collection method.

In terms of advantages, face-to-face interviews help with accurate screening, in the sense the interviewee can’t easily give misleading answers about, say, their age. The interviewer can also make a note of emotions and non-verbal cues. 

On the other hand, face-to-face interviews can be costly, while the quality of data you get back often depends on the ability of the interviewer. Also, the size of the sample is limited to the size of your interviewing staff, the area in which the interviews are conducted, and the number of qualified respondents within that area.

Social listening 

Social listening is a powerful solution for brands who want to keep an ear to the ground, gathering unfiltered thoughts and opinions from consumers who are posting on social media. 

Many social listening tools store data for up to a couple of years, great for trend analysis that needs to compare current and past conversations.

Social listening isn’t limited to text. Images, videos, and emojis often help us better understand what consumers are thinking, saying, and doing better than more traditional research methods. 

Perhaps the biggest downside is there are no guarantees with social listening, and you never know what you will (or won’t) find. It can also be tricky to gauge sentiment accurately if the language used is open to misinterpretation, for example if a social media user describes something as “sick”.

There’s also a potential problem around what people say vs. what they actually do. Tweeting about the gym is a good deal easier than actually going. The wider problem – and this may shock you – is that not every single thing people write on social media is necessarily true, which means social listening can easily deliver unreliable results.

Public domain data 

Public domain data comes from think tanks and government statistics or research centers like the UK’s National Office for Statistics or the United States Census Bureau and the National Institute of Statistical Sciences. Other sources are things like research journals, news media, and academic material.

Its advantages for market research are it’s cheap (or even free), quick to access, and easily available. Public domain datasets can be huge, so potentially very rich.

On the flip side, the data can be out of date, it certainly isn’t exclusive to you, and the collection methodology can leave much to be desired. But used carefully, public domain data can be a useful source of secondary market research.

Telephone interviews 

You know the drill – you get a call from a researcher who asks you questions about a particular topic and wants to hear your opinions. Some even pay or offer other rewards for your time.

Telephone surveys are great for reaching niche groups of consumers within a specific geographic area or connected to a particular brand, or who aren’t very active in online channels. They’re not well-suited for gathering data from broad population groups, simply because of the time and labor involved.

How to use market research 

Data isn’t an end in itself; instead it’s a springboard to make other stuff happen. So once you’ve drawn conclusions from your research, it’s time to think of what you’ll actually do based on your findings.

While it’s impossible for us to give a definitive list (every use case is different), here are some suggestions to get you started.

Leverage it . Think about ways to expand the use – and value – of research data and insights, for example by using research to support business goals and functions, like sales, market share or product design.

Integrate it . Expand the value of your research data by integrating it with other data sources, internal and external. Integrating data like this can broaden your perspective and help you draw deeper insights for more confident decision-making.

Justify it . Enlist colleagues from areas that’ll benefit from the insights that research provides – that could be product management, product development, customer service, marketing, sales or many others – and build a business case for using research.

How to choose the right type of market research 

Broadly speaking, choosing the right research method depends on knowing the type of data you need to collect. To dig into ideas and opinions, choose qualitative; to do some testing, it’s quantitative you want.

There are also a bunch of practical considerations, not least cost. If a particular approach sounds great but costs the earth then clearly it’s not ideal for any brand on a budget.

Then there’s how you intend to use the actual research, your level of expertise with research data, whether you need access to historical data or just a snapshot of today, and so on.

The point is, different methods suit different situations. When choosing, you’ll want to consider what you want to achieve, what data you’ll need, the pros and cons of each method, the costs of conducting the research, and the cost of analyzing the results. 

Market research examples

Independent agency Bright/Shift used GWI consumer insights to shape a high-impact go-to-market strategy for their sustainable furniture client, generating £41K in revenue in the first month. Here’s how they made the magic happen .

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May 21, 2024 — 09:07 am EDT

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Below is Validea's guru fundamental report for MERCK & CO INC ( MRK ) . Of the 22 guru strategies we follow, MRK rates highest using our P/B Growth Investor model based on the published strategy of Partha Mohanram . This growth model looks for low book-to-market stocks that exhibit characteristics associated with sustained future growth.

MERCK & CO INC ( MRK ) is a large-cap growth stock in the Biotechnology & Drugs industry. The rating using this strategy is 77% based on the firm’s underlying fundamentals and the stock’s valuation. A score of 80% or above typically indicates that the strategy has some interest in the stock and a score above 90% typically indicates strong interest.

The following table summarizes whether the stock meets each of this strategy's tests. Not all criteria in the below table receive equal weighting or are independent, but the table provides a brief overview of the strong and weak points of the security in the context of the strategy's criteria.

Detailed Analysis of MERCK & CO INC

MRK Guru Analysis

MRK Fundamental Analysis

More Information on Partha Mohanram

Partha Mohanram Portfolio

About Partha Mohanram : Sometimes the best investing strategies don't come from the world of investing. Sometimes research that changes the investing world can come from the halls of academia. Partha Mohanram is a great example of this. While academic research has shown that value investing works over time, it has found the opposite for growth investing. Mohanram turned that research on its head by developing a growth model that produced significant market outperformance. His research paper "Separating Winners from Losers among Low Book-to-Market Stocks using Financial Statement Analysis" looked at the criteria that can be used to separate growth stocks that continue their upward trajectory from those that don't. Mohanram is currently the John H. Watson Chair in Value Investing at the University of Toronto and was previously an Associate Professor at the Columbia Business School.

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About Validea : Validea is an investment research service that follows the published strategies of investment legends. Validea offers both stock analysis and model portfolios based on gurus who have outperformed the market over the long-term, including Warren Buffett, Benjamin Graham, Peter Lynch and Martin Zweig. For more information about Validea, click here

The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.

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CRO Guide   >  Chapter 3.1

Qualitative Research: Definition, Methodology, Limitation & Examples

Qualitative research is a method focused on understanding human behavior and experiences through non-numerical data. Examples of qualitative research include:

• One-on-one interviews,
• Focus groups, Ethnographic research,
• Case studies,
• Record keeping,
• Qualitative observations

In this article, we’ll provide tips and tricks on how to use qualitative research to better understand your audience through real world examples and improve your ROI. We’ll also learn the difference between qualitative and quantitative data.

Table of Contents

Marketers often seek to understand their customers deeply. Qualitative research methods such as face-to-face interviews, focus groups, and qualitative observations can provide valuable insights into your products, your market, and your customers’ opinions and motivations. Understanding these nuances can significantly enhance marketing strategies and overall customer satisfaction.

What is Qualitative Research

Qualitative research is a market research method that focuses on obtaining data through open-ended and conversational communication. This method focuses on the “why” rather than the “what” people think about you. Thus, qualitative research seeks to uncover the underlying motivations, attitudes, and beliefs that drive people’s actions. 

Let’s say you have an online shop catering to a general audience. You do a demographic analysis and you find out that most of your customers are male. Naturally, you will want to find out why women are not buying from you. And that’s what qualitative research will help you find out.

In the case of your online shop, qualitative research would involve reaching out to female non-customers through methods such as in-depth interviews or focus groups. These interactions provide a platform for women to express their thoughts, feelings, and concerns regarding your products or brand. Through qualitative analysis, you can uncover valuable insights into factors such as product preferences, user experience, brand perception, and barriers to purchase.

Types of Qualitative Research Methods

Qualitative research methods are designed in a manner that helps reveal the behavior and perception of a target audience regarding a particular topic.

The most frequently used qualitative analysis methods are one-on-one interviews, focus groups, ethnographic research, case study research, record keeping, and qualitative observation.

1. One-on-one interviews

Conducting one-on-one interviews is one of the most common qualitative research methods. One of the advantages of this method is that it provides a great opportunity to gather precise data about what people think and their motivations.

Spending time talking to customers not only helps marketers understand who their clients are, but also helps with customer care: clients love hearing from brands. This strengthens the relationship between a brand and its clients and paves the way for customer testimonials.

• A company might conduct interviews to understand why a product failed to meet sales expectations.
• A researcher might use interviews to gather personal stories about experiences with healthcare.

These interviews can be performed face-to-face or on the phone and usually last between half an hour to over two hours. 

When a one-on-one interview is conducted face-to-face, it also gives the marketer the opportunity to read the body language of the respondent and match the responses.

2. Focus groups

Focus groups gather a small number of people to discuss and provide feedback on a particular subject. The ideal size of a focus group is usually between five and eight participants. The size of focus groups should reflect the participants’ familiarity with the topic. For less important topics or when participants have little experience, a group of 10 can be effective. For more critical topics or when participants are more knowledgeable, a smaller group of five to six is preferable for deeper discussions.

The main goal of a focus group is to find answers to the “why”, “what”, and “how” questions. This method is highly effective in exploring people’s feelings and ideas in a social setting, where group dynamics can bring out insights that might not emerge in one-on-one situations.

• A focus group could be used to test reactions to a new product concept.
• Marketers might use focus groups to see how different demographic groups react to an advertising campaign.

One advantage that focus groups have is that the marketer doesn’t necessarily have to interact with the group in person. Nowadays focus groups can be sent as online qualitative surveys on various devices.

Focus groups are an expensive option compared to the other qualitative research methods, which is why they are typically used to explain complex processes.

3. Ethnographic research

Ethnographic research is the most in-depth observational method that studies individuals in their naturally occurring environment.

This method aims at understanding the cultures, challenges, motivations, and settings that occur.

• A study of workplace culture within a tech startup.
• Observational research in a remote village to understand local traditions.

Ethnographic research requires the marketer to adapt to the target audiences’ environments (a different organization, a different city, or even a remote location), which is why geographical constraints can be an issue while collecting data.

This type of research can last from a few days to a few years. It’s challenging and time-consuming and solely depends on the expertise of the marketer to be able to analyze, observe, and infer the data.

4. Case study research

The case study method has grown into a valuable qualitative research method. This type of research method is usually used in education or social sciences. It involves a comprehensive examination of a single instance or event, providing detailed insights into complex issues in real-life contexts.  

• Analyzing a single school’s innovative teaching method.
• A detailed study of a patient’s medical treatment over several years.

Case study research may seem difficult to operate, but it’s actually one of the simplest ways of conducting research as it involves a deep dive and thorough understanding of the data collection methods and inferring the data.

5. Record keeping

Record keeping is similar to going to the library: you go over books or any other reference material to collect relevant data. This method uses already existing reliable documents and similar sources of information as a data source.

• Historical research using old newspapers and letters.
• A study on policy changes over the years by examining government records.

This method is useful for constructing a historical context around a research topic or verifying other findings with documented evidence.

6. Qualitative observation

Qualitative observation is a method that uses subjective methodologies to gather systematic information or data. This method deals with the five major sensory organs and their functioning, sight, smell, touch, taste, and hearing.

• Sight : Observing the way customers visually interact with product displays in a store to understand their browsing behaviors and preferences.
• Smell : Noting reactions of consumers to different scents in a fragrance shop to study the impact of olfactory elements on product preference.
• Touch : Watching how individuals interact with different materials in a clothing store to assess the importance of texture in fabric selection.
• Taste : Evaluating reactions of participants in a taste test to identify flavor profiles that appeal to different demographic groups.
• Hearing : Documenting responses to changes in background music within a retail environment to determine its effect on shopping behavior and mood.

Below we are also providing real-life examples of qualitative research that demonstrate practical applications across various contexts:

Qualitative Research Real World Examples

Let’s explore some examples of how qualitative research can be applied in different contexts.

1. Online grocery shop with a predominantly male audience

Method used: one-on-one interviews.

Let’s go back to one of the previous examples. You have an online grocery shop. By nature, it addresses a general audience, but after you do a demographic analysis you find out that most of your customers are male.

One good method to determine why women are not buying from you is to hold one-on-one interviews with potential customers in the category.

Interviewing a sample of potential female customers should reveal why they don’t find your store appealing. The reasons could range from not stocking enough products for women to perhaps the store’s emphasis on heavy-duty tools and automotive products, for example. These insights can guide adjustments in inventory and marketing strategies.

2. Software company launching a new product

Method used: focus groups.

Focus groups are great for establishing product-market fit.

Let’s assume you are a software company that wants to launch a new product and you hold a focus group with 12 people. Although getting their feedback regarding users’ experience with the product is a good thing, this sample is too small to define how the entire market will react to your product.

So what you can do instead is holding multiple focus groups in 20 different geographic regions. Each region should be hosting a group of 12 for each market segment; you can even segment your audience based on age. This would be a better way to establish credibility in the feedback you receive.

3. Alan Pushkin’s “God’s Choice: The Total World of a Fundamentalist Christian School”

Method used: ethnographic research.

Moving from a fictional example to a real-life one, let’s analyze Alan Peshkin’s 1986 book “God’s Choice: The Total World of a Fundamentalist Christian School”.

Peshkin studied the culture of Bethany Baptist Academy by interviewing the students, parents, teachers, and members of the community alike, and spending eighteen months observing them to provide a comprehensive and in-depth analysis of Christian schooling as an alternative to public education.

The study highlights the school’s unified purpose, rigorous academic environment, and strong community support while also pointing out its lack of cultural diversity and openness to differing viewpoints. These insights are crucial for understanding how such educational settings operate and what they offer to students.

Even after discovering all this, Peshkin still presented the school in a positive light and stated that public schools have much to learn from such schools.

Peshkin’s in-depth research represents a qualitative study that uses observations and unstructured interviews, without any assumptions or hypotheses. He utilizes descriptive or non-quantifiable data on Bethany Baptist Academy specifically, without attempting to generalize the findings to other Christian schools.

4. Understanding buyers’ trends

Method used: record keeping.

Another way marketers can use quality research is to understand buyers’ trends. To do this, marketers need to look at historical data for both their company and their industry and identify where buyers are purchasing items in higher volumes.

For example, electronics distributors know that the holiday season is a peak market for sales while life insurance agents find that spring and summer wedding months are good seasons for targeting new clients.

5. Determining products/services missing from the market

Conducting your own research isn’t always necessary. If there are significant breakthroughs in your industry, you can use industry data and adapt it to your marketing needs.

The influx of hacking and hijacking of cloud-based information has made Internet security a topic of many industry reports lately. A software company could use these reports to better understand the problems its clients are facing.

As a result, the company can provide solutions prospects already know they need.

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Qualitative Research Approaches

Once the marketer has decided that their research questions will provide data that is qualitative in nature, the next step is to choose the appropriate qualitative approach.

The approach chosen will take into account the purpose of the research, the role of the researcher, the data collected, the method of data analysis , and how the results will be presented. The most common approaches include:

• Narrative : This method focuses on individual life stories to understand personal experiences and journeys. It examines how people structure their stories and the themes within them to explore human existence. For example, a narrative study might look at cancer survivors to understand their resilience and coping strategies.
• Phenomenology : attempts to understand or explain life experiences or phenomena; It aims to reveal the depth of human consciousness and perception, such as by studying the daily lives of those with chronic illnesses.
• Grounded theory : investigates the process, action, or interaction with the goal of developing a theory “grounded” in observations and empirical data. 
• Ethnography : describes and interprets an ethnic, cultural, or social group;
• Case study : examines episodic events in a definable framework, develops in-depth analyses of single or multiple cases, and generally explains “how”. An example might be studying a community health program to evaluate its success and impact.

How to Analyze Qualitative Data

Analyzing qualitative data involves interpreting non-numerical data to uncover patterns, themes, and deeper insights. This process is typically more subjective and requires a systematic approach to ensure reliability and validity. 

1. Data Collection

Ensure that your data collection methods (e.g., interviews, focus groups, observations) are well-documented and comprehensive. This step is crucial because the quality and depth of the data collected will significantly influence the analysis.

2. Data Preparation

Once collected, the data needs to be organized. Transcribe audio and video recordings, and gather all notes and documents. Ensure that all data is anonymized to protect participant confidentiality where necessary.

3. Familiarization

Immerse yourself in the data by reading through the materials multiple times. This helps you get a general sense of the information and begin identifying patterns or recurring themes.

Develop a coding system to tag data with labels that summarize and account for each piece of information. Codes can be words, phrases, or acronyms that represent how these segments relate to your research questions.

• Descriptive Coding : Summarize the primary topic of the data.
• In Vivo Coding : Use language and terms used by the participants themselves.
• Process Coding : Use gerunds (“-ing” words) to label the processes at play.
• Emotion Coding : Identify and record the emotions conveyed or experienced.

5. Thematic Development

Group codes into themes that represent larger patterns in the data. These themes should relate directly to the research questions and form a coherent narrative about the findings.

6. Interpreting the Data

Interpret the data by constructing a logical narrative. This involves piecing together the themes to explain larger insights about the data. Link the results back to your research objectives and existing literature to bolster your interpretations.

7. Validation

Check the reliability and validity of your findings by reviewing if the interpretations are supported by the data. This may involve revisiting the data multiple times or discussing the findings with colleagues or participants for validation.

8. Reporting

Finally, present the findings in a clear and organized manner. Use direct quotes and detailed descriptions to illustrate the themes and insights. The report should communicate the narrative you’ve built from your data, clearly linking your findings to your research questions.

Limitations of qualitative research

The disadvantages of qualitative research are quite unique. The techniques of the data collector and their own unique observations can alter the information in subtle ways. That being said, these are the qualitative research’s limitations:

1. It’s a time-consuming process

The main drawback of qualitative study is that the process is time-consuming. Another problem is that the interpretations are limited. Personal experience and knowledge influence observations and conclusions.

Thus, qualitative research might take several weeks or months. Also, since this process delves into personal interaction for data collection, discussions often tend to deviate from the main issue to be studied.

2. You can’t verify the results of qualitative research

Because qualitative research is open-ended, participants have more control over the content of the data collected. So the marketer is not able to verify the results objectively against the scenarios stated by the respondents. For example, in a focus group discussing a new product, participants might express their feelings about the design and functionality. However, these opinions are influenced by individual tastes and experiences, making it difficult to ascertain a universally applicable conclusion from these discussions.

3. It’s a labor-intensive approach

Qualitative research requires a labor-intensive analysis process such as categorization, recording, etc. Similarly, qualitative research requires well-experienced marketers to obtain the needed data from a group of respondents.

4. It’s difficult to investigate causality

Qualitative research requires thoughtful planning to ensure the obtained results are accurate. There is no way to analyze qualitative data mathematically. This type of research is based more on opinion and judgment rather than results. Because all qualitative studies are unique they are difficult to replicate.

5. Qualitative research is not statistically representative

Because qualitative research is a perspective-based method of research, the responses given are not measured.

Comparisons can be made and this can lead toward duplication, but for the most part, quantitative data is required for circumstances that need statistical representation and that is not part of the qualitative research process.

While doing a qualitative study, it’s important to cross-reference the data obtained with the quantitative data. By continuously surveying prospects and customers marketers can build a stronger database of useful information.

Quantitative vs. Qualitative Research

Image source

Quantitative and qualitative research are two distinct methodologies used in the field of market research, each offering unique insights and approaches to understanding consumer behavior and preferences.

As we already defined, qualitative analysis seeks to explore the deeper meanings, perceptions, and motivations behind human behavior through non-numerical data. On the other hand, quantitative research focuses on collecting and analyzing numerical data to identify patterns, trends, and statistical relationships.  

Let’s explore their key differences: 

Nature of Data:

• Quantitative research : Involves numerical data that can be measured and analyzed statistically.
• Qualitative research : Focuses on non-numerical data, such as words, images, and observations, to capture subjective experiences and meanings.

Research Questions:

• Quantitative research : Typically addresses questions related to “how many,” “how much,” or “to what extent,” aiming to quantify relationships and patterns.
• Qualitative research: Explores questions related to “why” and “how,” aiming to understand the underlying motivations, beliefs, and perceptions of individuals.

Data Collection Methods:

• Quantitative research : Relies on structured surveys, experiments, or observations with predefined variables and measures.
• Qualitative research : Utilizes open-ended interviews, focus groups, participant observations, and textual analysis to gather rich, contextually nuanced data.

Analysis Techniques:

• Quantitative research: Involves statistical analysis to identify correlations, associations, or differences between variables.
• Qualitative research: Employs thematic analysis, coding, and interpretation to uncover patterns, themes, and insights within qualitative data.

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Not all data are created equal; some are structured, but most of them are unstructured. Structured and unstructured data are sourced, collected and scaled in different ways and each one resides in a different type of database.

In this article, we will take a deep dive into both types so that you can get the most out of your data.

Structured data—typically categorized as quantitative data—is highly organized and easily decipherable by  machine learning algorithms .  Developed by IBM® in 1974 , structured query language (SQL) is the programming language used to manage structured data. By using a  relational (SQL) database , business users can quickly input, search and manipulate structured data.

Examples of structured data include dates, names, addresses, credit card numbers, among others. Their benefits are tied to ease of use and access, while liabilities revolve around data inflexibility:

• Easily used by machine learning (ML) algorithms:  The specific and organized architecture of structured data eases the manipulation and querying of ML data.
• Easily used by business users:  Structured data do not require an in-depth understanding of different types of data and how they function. With a basic understanding of the topic relative to the data, users can easily access and interpret the data.
• Accessible by more tools:  Since structured data predates unstructured data, there are more tools available for using and analyzing structured data.
• Limited usage:  Data with a predefined structure can only be used for its intended purpose, which limits its flexibility and usability.
• Limited storage options:  Structured data are usually stored in data storage systems with rigid schemas (for example, “ data warehouses ”). Therefore, changes in data requirements necessitate an update of all structured data, which leads to a massive expenditure of time and resources.
• OLAP :  Performs high-speed, multidimensional data analysis from unified, centralized data stores.
• SQLite : (link resides outside ibm.com)  Implements a self-contained,  serverless , zero-configuration, transactional relational database engine.
• MySQL :  Embeds data into mass-deployed software, particularly mission-critical, heavy-load production system.
• PostgreSQL :  Supports SQL and JSON querying as well as high-tier programming languages (C/C+, Java,  Python , among others.).
• Customer relationship management (CRM):  CRM software runs structured data through analytical tools to create datasets that reveal customer behavior patterns and trends.
• Online booking:  Hotel and ticket reservation data (for example, dates, prices, destinations, among others.) fits the “rows and columns” format indicative of the pre-defined data model.
• Accounting:  Accounting firms or departments use structured data to process and record financial transactions.

Unstructured data, typically categorized as qualitative data, cannot be processed and analyzed through conventional data tools and methods. Since unstructured data does not have a predefined data model, it is best managed in  non-relational (NoSQL) databases . Another way to manage unstructured data is to use  data lakes  to preserve it in raw form.

The importance of unstructured data is rapidly increasing.  Recent projections  (link resides outside ibm.com) indicate that unstructured data is over 80% of all enterprise data, while 95% of businesses prioritize unstructured data management.

Examples of unstructured data include text, mobile activity, social media posts, Internet of Things (IoT) sensor data, among others. Their benefits involve advantages in format, speed and storage, while liabilities revolve around expertise and available resources:

• Native format:  Unstructured data, stored in its native format, remains undefined until needed. Its adaptability increases file formats in the database, which widens the data pool and enables data scientists to prepare and analyze only the data they need.
• Fast accumulation rates:  Since there is no need to predefine the data, it can be collected quickly and easily.
• Data lake storage:  Allows for massive storage and pay-as-you-use pricing, which cuts costs and eases scalability.
• Requires expertise:  Due to its undefined or non-formatted nature, data science expertise is required to prepare and analyze unstructured data. This is beneficial to data analysts but alienates unspecialized business users who might not fully understand specialized data topics or how to utilize their data.
• Specialized tools:  Specialized tools are required to manipulate unstructured data, which limits product choices for data managers.
• MongoDB :  Uses flexible documents to process data for cross-platform applications and services.
• DynamoDB :  (link resides outside ibm.com) Delivers single-digit millisecond performance at any scale through built-in security, in-memory caching and backup and restore.
• Hadoop :  Provides distributed processing of large data sets using simple programming models and no formatting requirements.
• Azure :  Enables agile cloud computing for creating and managing apps through Microsoft’s data centers.
• Data mining :  Enables businesses to use unstructured data to identify consumer behavior, product sentiment and purchasing patterns to better accommodate their customer base.
• Predictive data analytics :  Alert businesses of important activity ahead of time so they can properly plan and accordingly adjust to significant market shifts.
• Chatbots :  Perform text analysis to route customer questions to the appropriate answer sources.

While structured (quantitative) data gives a “birds-eye view” of customers, unstructured (qualitative) data provides a deeper understanding of customer behavior and intent. Let’s explore some of the key areas of difference and their implications:

• Sources:  Structured data is sourced from GPS sensors, online forms, network logs, web server logs,  OLTP systems , among others; whereas unstructured data sources include email messages, word-processing documents, PDF files, and others.
• Forms:  Structured data consists of numbers and values, whereas unstructured data consists of sensors, text files, audio and video files, among others.
• Models:  Structured data has a predefined data model and is formatted to a set data structure before being placed in data storage (for example, schema-on-write), whereas unstructured data is stored in its native format and not processed until it is used (for example, schema-on-read).
• Storage:  Structured data is stored in tabular formats (for example, excel sheets or SQL databases) that require less storage space. It can be stored in data warehouses, which makes it highly scalable. Unstructured data, on the other hand, is stored as media files or NoSQL databases, which require more space. It can be stored in data lakes, which makes it difficult to scale.
• Uses:  Structured data is used in machine learning (ML) and drives its algorithms, whereas unstructured data is used in  natural language processing  (NLP) and text mining.

Semi-structured data (for example, JSON, CSV, XML) is the “bridge” between structured and unstructured data. It does not have a predefined data model and is more complex than structured data, yet easier to store than unstructured data.

Semi-structured data uses “metadata” (for example, tags and semantic markers) to identify specific data characteristics and scale data into records and preset fields. Metadata ultimately enables semi-structured data to be better cataloged, searched and analyzed than unstructured data.

• Example of metadata usage:  An online article displays a headline, a snippet, a featured image, image alt-text, slug, among others, which helps differentiate one piece of web content from similar pieces.
• Example of semi-structured data vs. structured data:  A tab-delimited file containing customer data versus a database containing CRM tables.
• Example of semi-structured data vs. unstructured data:  A tab-delimited file versus a list of comments from a customer’s Instagram.

Recent developments in  artificial intelligence  (AI) and machine learning (ML) are driving the future wave of data, which is enhancing business intelligence and advancing industrial innovation. In particular, the data formats and models that are covered in this article are helping business users to do the following:

• Analyze digital communications for compliance:  Pattern recognition and email threading analysis software that can search email and chat data for potential noncompliance.
• Track high-volume customer conversations in social media:  Text analytics and sentiment analysis that enables monitoring of marketing campaign results and identifying online threats.
• Gain new marketing intelligence:  ML analytics tools that can quickly cover massive amounts of data to help businesses analyze customer behavior.

Furthermore, smart and efficient usage of data formats and models can help you with the following:

• Understand customer needs at a deeper level to better serve them
• Create more focused and targeted marketing campaigns
• Track current metrics and create new ones
• Create better product opportunities and offerings
• Reduce operational costs

Whether you are a seasoned data expert or a novice business owner, being able to handle all forms of data is conducive to your success. By using structured, semi-structured and unstructured data options, you can perform optimal data management that will ultimately benefit your mission.

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How Is Generative AI Changing Market Research for CMOs?

By Ron Howard, Chief Executive Officer, Mercury Analytics

There’s so much talk about generative AI. How it is transforming every aspect of our lives, the industries we work in, the jobs we do. In some cases, this is an over-exaggeration.

However, when it comes to research, it isn’t.

For CMOs, traditional approaches to market research are being rewritten. What was once seen as too difficult, too time intensive, too complex to do, is now possible with the proper and careful application of AI.

It is truly transformative, giving CMOs a cutting-edge new weapon to inform marketing strategies in a way that hasn’t been possible before – all in moments, for pennies, with greater flexibility and precision.

Generative AI enables focus group level insight from quantitative research. It gives CMOs more power than ever to understand what their customers think about their products and brands, and why; identify customer preferences within segments; make sense of complex and nuanced issues.

Whether you want to understand how your customers feel about social issues, what comes to mind when they think of your brand, how best to respond to an emerging crisis, how to test messaging before it goes public, now you can.

And you can do so in a way that is extremely cost-effective, rapid, with no bias or analyst fatigue.

In the past, quantitative market research was limited in many ways. Limited by your ability to ask the right questions, limited by your ability to define the potential responses, limited by your ability to code critically insightful open-ended responses, limited by available time and the human and financial resources you can spend on analysis. The list goes on.

However, the value of quantitative research has always been one of the bedrocks of marketing research. With generative AI its value increases significantly.

Enabling deeper and richer insight from open-ended questions

Understanding quantitative data is easy. Analyzing the results by segment is straightforward. This is in contrast to qualitative research where we tend to be dealing with perceptions, emotional responses, and nuance. This is much harder to do.

The most common way to get qualitative insight from quantitative research is through open-end questions. However, researchers tend to shy away from including valuable “why” style questions as they are hard to analyze. To make sense of responses requires a well-trained analyst and many hours or days to code responses into categories, and no two analysts would code responses identically in or wouldn’t become fatigued coding 1,000 or 2,000 responses.

This is no longer the case with generative AI tools. The responses from a sample of 1,000 people can be analyzed in seconds. Whether you are looking for the top ten themes, the most common words used, want an overall or emotional summary of all, or just a segment of survey participants, this can be done by applying AI, ensuring you do not miss the golden nugget of insight.

This is transformative.      

A genuine silver bullet that is here today

The ability to ask more insightful open-ended questions within quantitative surveys enables greater engagement from respondents as people want to express their opinions freely, beyond the constraints of predefined answer choices that they must select from.

Responses are conversational, natural and emotional.

We recently conducted a research study on Unity in America in this election year with over 1,000 voters, to explore voter attitudes to the current state of politics. The study asked if a candidate pledged to communicate their views on issues without insulting members of the other party, negotiate hard but find compromise even when some issues will be disagreeable, and pledge I am an American first, I support my party second, would you be more or less likely to support them. It also introduced a “Unity Pledge” that would commit a political candidate to clear communication, collaboration, and a willingness to compromise with their counterparts across the aisle. Along with answering a series of questions about feelings towards the pledge, respondents used Mercury’s Text Highlighting tool to indicate the specific words or phrases within the candidate’s statement they either agreed or disagreed with.

This enabled us to explore people’s emotional responses and feelings to the statement. Through the application of AI we were able to make sense of these insights, comparing different demographic group responses in seconds.

Likewise, when Black Lives Matter emerged as a movement, we conducted a study where we asked people ‘In what ways do you think there is racial injustice towards the black community in America?’

This complex question received over 1800 open-ended responses. The responses were conversational, natural, and emotional. We recently went back to this study and applied AI. We were able to analyze those responses quickly and easily. Understanding people’s emotional response to the question, the key themes based on different segments, and how each segment compared to another. This simply wasn’t possible when we originally did the survey, without extensive budgets and intensive analyst resources coding each response.

AI can be applied beyond quantitative research

But it isn’t only in the realm of market research where AI is transforming the access to information that CMOs rely on.

All brands, especially consumer brands, have a wealth of information and insight from customers in the form of reviews, social media, feedback forms, forums and more. However, the challenge is often getting to the insights that matter. This is where generative AI can be again transformative. By ingesting, processing, and making sense of vast amounts of unstructured data, it is possible to extract key insights that can provide real value to the CMO and marketing teams, all in record time.

Rather than trying to make sense of what your customers are saying to you due to the overwhelming volume of information, you can finally understand precisely what they are saying and plan well-targeted actions and responses. And you can do it every day, or week, or whenever the need arises.

These are just some ways in which generative AI is changing how CMOs and senior marketers can use research. But it is only the tip of the iceberg. It can be used to better process input from focus groups; to guide what research should focus on from the outset by bringing together what is top of mind for customers; and counter-intuitively, bring a more human touch to research.

And unlike many silver bullets, research can be conducted more cost-effectively, with reduced analyst resources, and in shortened timelines. A sort of holy trinity.

There is no question, that generative AI is a real game-changer when it comes to research.

If you think it is too good to be true. I’d ask you to think again. This is one of those research innovations that really is as good as it claims to be.

About the Author

Ron Howard is Chief Executive Officer of Mercury Analytics, an innovative full-service research firm in Washington, D.C. Ron created Mercury Analytics to change the research landscape using the power of technology to modernize how research is conducted. The firm works with major brands and corporations to conduct quantitative and qualitative research, media testing, applying MercuryAI to get the most from research.

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