Marketing Research and Insight Glossary

Definitions, common uses and explanations of 1,500+ key market research terms and phrases.

What is a Mean?

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Mean Definition

The sum of the values for all observations of a variable divided by the number of observations.

In market research, the mean, or average, is a statistical measure that represents the central value of a set of numbers. It is calculated by adding all data points and dividing by the total number of points. The mean is often used to summarize consumer responses, behavior patterns or other quantitative data to provide a snapshot of typical values within a dataset.

Who relies on mean in market research?       

Market researchers, data analysts, product managers and business decision makers rely on the mean to interpret consumer feedback, evaluate customer satisfaction and understand trends in numerical data. It is a commonly used metric in research reports, particularly when assessing average values such as purchase frequency, satisfaction ratings or product ratings.

What are key aspects of mean in market research? 

Key aspects include:

  • Central tendency: Represents the central or typical value in a dataset.
  • Simplicity: Easily calculated and widely understood.
  • Sensitivity to outliers: Extreme values can skew the mean, making it less representative.
  • Contextual relevance: Best used with continuous data and in normally distributed datasets.
  • Comparison tool: Allows researchers to compare average values across groups or time periods.

Why is mean important in market research?

The mean is important because it provides a simple summary measure that helps researchers quickly understand general trends and patterns in data. It allows for easy comparisons across groups and can highlight areas of strength or concern in metrics like satisfaction, usage frequency or spending habits, enabling better decision-making.

How do market researchers use mean?          

Market researchers use the mean to summarize data on customer behavior, preferences and feedback. For example, they may calculate the average satisfaction score from a survey or the average frequency of product use. By analyzing mean values, researchers can assess overall performance, identify trends and compare segments, helping guide marketing and product strategies.