The Statistics for Market Research Blog

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Case Study: Use Filters to Dig Deeper into Consumer Demographics

Case Study: Use Filters to Dig Deeper into Consumer Demographics

StatGenius has recently launched a set of filtering tools, which help users dig deeper into a specific segment or to isolate a very specific characteristic among respondents. Recently, a research services consultant was commissioned to better understand the demographics of consumers who, in a recent survey, had expressed their willingness to try a new beverage….

Case Study: Cluster Analysis

Case Study: Cluster Analysis

StatGenius (formerly SurveyWx) helps survey researchers apply advanced segmentation analysis techniques – without having any mathematical knowledge. This includes finding new segments (aka “Cluster Analysis”), but even more interestingly, StatGenius will tell the researcher what makes one segment unique and different from any other. This has broad implications – if you can determine exactly what…

Case Study: Determine Consumption Habits and Preferences for Candy Manufacturer

Case Study: Determine Consumption Habits and Preferences for Candy Manufacturer

StatGenius has recently launched “Relate” – a powerful yet easy-to-use module that helps users find hidden relationships across variables. Statisticians might call this “chi square” or “Pearson correlation”, but with StatGenius, you only need to know how to click the Relate button. Our platform does the rest. Recently, a project manager (“John W.”) at a…

Case Study: Recommend Segments of Respondents who have Similar Consumption Patterns

Case Study: Recommend Segments of Respondents who have Similar Consumption Patterns

StatGenius has recently launched an intuitive feature called, “Recommend a Segment” that allows a market researcher to find segments in their SurveyMonkey or Qualtrics-collected survey data. Statisticians call this “cluster analysis” because it is used to find groupings of data points (aka ‘segments’) in a survey file. Regardless, with StatGenius, you only need to know…

Find Segments in your Data – A guide on segmentation analysis techniques

Find Segments in your Data – A guide on segmentation analysis techniques

The purpose of this blog is to provide an understanding on how you can mathematically analyze your survey results. If you are interested in software that will analyze this for you, read here on how StatGenius segments your respondent data. As you already know, segmentation analysis is one of the most common (and most useful)…

Hierarchical & Cluster Analysis

Hierarchical & Cluster Analysis

Cluster analysis is a family of statistical tools aimed to group data observations in relatively homogenous groups that differ from each other. This procedure is based on a set of individual characteristics for each object/consumer, which will be allocated into groups. Depending on the purpose of the analysis, different parameters of cluster solution are taken…

Navigating and Collecting Data for Segmentation

Navigating and Collecting Data for Segmentation

Most researchers understand what segments are, and how they are used – but do you consciously think about the different types of segments? It is important to understand the types of data you are incorporating into a segment, and how to collect it – to fully leverage the power of segments. Three powerful types of…

Explaining Cluster Analysis

Explaining Cluster Analysis

A deeper review of how cluster segmentation analysis works SEGMENTATION / CLUSTER ANALYSIS Segmentation – is a process of dividing population of objects/consumers into relatively `homogeneous groups that differ from each other. This term is most closely associated with consumers or markets though its application is much broader. Market or Consumer Segmentation – is a…

Think you know segmentation?

Think you know segmentation?

Four Methods of Segmentation Although there may not be commonly-discussed definitions, there are at least four very different kinds of quant segmentation, which researchers should be cognitive of when planning their project. A priori segmentation is an approach that differentiates the market based on predetermined variables. This method utilizes supervised learning tools to develop statistical profiles….

COVID-19 Drives the Need for Self-Service Data Analysis

COVID-19 Drives the Need for Self-Service Data Analysis

Market Researchers Increasingly Taking Advantage of Technology – Instead of Employing Statisticians A problem results in questions – and you look to data for answers. You gather the data, and now it’s time to analyze it so that you can strategize for the next move for your organization. According to research by Shabbir and Gardezi…