Visual Market Research Techniques for a Successful Business in 2022

This article discusses the different types of statistical analysis used in Visual Market Research. These techniques are effective for determining the effectiveness of a marketing campaign and may save you money in the long run. Listed below are the five most popular statistical analyses used in Visual Market Research. Each technique has a unique set of advantages and disadvantages, and is best suited to a specific audience or problem.

Visual Market Research Techniques for a Successful Business in 2022

1. Conjoint analysis

Many business leaders use conjoint analysis when introducing new products and services to the market. Knowing what consumers value is crucial to determining which features and functions will be most effective in marketing a product. Considering that most products and services include a number of different features and functions, conducting a conjoint analysis can help business leaders better understand their customer base. The process helps them identify the most valuable features and functions and how to appeal to each segment.

In visual market research, conjoint analysis involves the evaluation of physical and conceptual attributes. Different subjects can provide different levels of preference, and then they can aggregate these preferences into a composite evaluation. The problem with using this method is that too many different attributes can cause too many combinations.

Visual Market Research Techniques - Conjoint analysis

Using this technique is an effective way to understand which attributes consumers value most and how to balance them. For example, if a product has several attributes, a consumer may be more likely to purchase a product that is made with a certain type of material than another.

Performing a conjoint analysis requires preliminary data. This is often accomplished through an initial survey, including a MaxDiff or Van Westendorp question. The purpose of the survey is to determine which features and functions are most important to the target audience, as well as what price range is appropriate for the product. It also serves as a baseline for determining the number of conjoint concepts to be examined. The fewer the concepts, the less likely the respondents will become survey fatigued and more responsive to the questions.

2. Multidimensional scaling

One of the most popular visual market research techniques is multidimensional scaling. This technique is often used to obtain a comparative evaluation of objects, behaviors, or events. The method is similar to perceptual maps, which display a series of attributes around a brand, allowing the researcher to explain how the attributes of the brand and its products influence the consumer’s decisions. It also allows researchers to explore how these attributes relate to each other.

Using multidimensional scales, researchers can examine the relative positions of different objects or sets. The technique is useful in revealing underlying themes and patterns.

Multidimensional scaling

This type of visual analysis makes it easy to compare data to determine which of these is most important. This technique is commonly used to understand political candidates. It can also be used to understand proximities between objects and groups. By comparing the relative distances of objects, researchers can compare the perceived value of products, services, and locations.

MDS allows researchers to analyze consumer preference for a number of different products. The technique is useful for determining where a product is positioned and how it could be repositioned. It also offers an alternative way of visualizing a product. Compared to classical multidimensional scales, multidimensional scaling offers greater flexibility and reusability. For example, when creating a visual grid, you can use a set of four or five different brands. Then, use the data to create a spatial representation of the product.

3. Multiple regression

When performing market research, multiple regression is a powerful tool. This statistical tool is used to analyze the relationship between an independent variable and a dependent variable. For example, if you are studying sunglasses, there will be several factors that influence the demand for sunglasses. By analyzing the independent variables, you can use multiple regression to predict future sales. Depending on the results of the analysis, you can use this tool to identify your most qualified prospects.

There are two main types of multiple regression: hierarchical multiple regression and generalized least squares. The former assumes that the independent variables do not correlate strongly, whereas the latter deals with correlated independent variables. Both methods transform the data and use OLS to construct a model.

Multiple regression

Here are a few examples of each. Which one is right for you? Read on to learn more. Once you’ve learned the basics of multiple regression, you’ll be on your way to creating an accurate model.

As a rule of thumb, high correlations can complicate multiple regression models. These types of correlations may lead to overestimations of the standard errors of estimates and may even result in false conclusions about the significance of the variables. This means that the ideal multiple regression model would only use one variable that is highly correlated. However, this approach has some limitations. For instance, high levels of multicollinearity can lead to distorted results when the model includes high correlations.

4. Discriminant analysis

Using Discriminant analysis as part of your visual market research techniques will give you a better understanding of the relationship between different variables. The objective is to create a discriminant function, a linear combination of independent variables, that differentiates between the categories of a dependent variable. This type of analysis will help you better understand which variables are related, and how accurate your classifications are. The discriminant function can help you identify which variables are most relevant to your research.

You can also use discriminant analysis to determine how people react to different products and services. The process involves using the characteristics of each group to isolate the factors that are responsible for the differences.

Discriminant analysis

This is a helpful technique when you want to know if a certain product or service is popular with a particular demographic. You can use Intellectus to determine if your research identifies trends based on their behavior.

A discriminant function is a group classification technique similar to multiple regression. This statistical method is used to classify groups of objects by assigning their values to groups previously defined. Often used in statistics, discriminant analysis can help you improve processes, solutions, and decisions. Discriminant analysis is most often used to predict customer trends. It is also used to determine whether a bank is likely to approve a loan application. The technique is highly accurate when it comes to pattern recognition.

5. Infographics

An article by Satyendra Singh in the Journal of Management Decision found that color plays an important role in influencing purchasing decisions. Visual content also engages readers. Infographics are highly visual. The color you choose for your infographics depends on what you hope to communicate. Orange and yellow are typically associated with cheerfulness and optimism, while red and purple are associated with risk and daring. Blue is a symbol of honesty.

When creating an infographic, keep in mind that people process information faster when they see it in a visual format. As a result, humans are visual animals. In order to convey your ideas effectively, you need to have relevant data. Accurate data also builds credibility. Using visual elements, you can transform this information into a compelling infographic. Once you have gathered your information, you are ready to start creating your infographics.


Interactive infographics combine custom code with traditional design features to engage users. Users can interact with interactive infographics by swiping, zooming, and clicking on data points. This allows the user to discover new information and explore the graphic based on their interests. Interactive infographics are typically maps, quizzes, and informational charts. The following infographic examples are just a few of the many uses of interactive infographics.

6. Videos

Adding videos to your business website will boost your SEO, increase your audience’s dwell time, and make your site more attractive to searchers. Videos are an excellent way to reach a broad audience, including business owners, students, and consumers. Adding videos to your website will increase your page’s ranking on Google by up to 53 percent. Here are some tips to make your videos more engaging and useful. Let your audience participate in video interviews or send in their own clips.

Creating engaging videos for your website’s visitors will increase conversions. You can make videos that highlight common problems and show your solutions.


People remember videos long after they have seen them, so creating them is a great way to build brand loyalty and increase revenue. A recent HubSpot study showed that people are most likely to remember a video after they’ve watched it. The word “video” in an email subject line has the same effect.

When creating a marketing video, make sure to make it about the customer. Make your ideal customer the star of the story. The product or service is the sidekick. Putting the focus on the customer is an age-old universal way to get viewers emotionally involved. It helps them build a positive association with your brand.