Marketing Research and Insight Glossary

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

What is Parameter?

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Parameter Definition

Numerical summary measure of a population distribution.

In marketing research, a parameter is a fixed, measurable characteristic of a population – such as the average income of all customers or the proportion of people who prefer a specific brand. Parameters are typically estimated using data collected from samples and are used to draw conclusions about the broader population.

What are key aspects of parameters in marketing research?

  • Describes characteristics of a population, not just a sample.
  • Includes metrics like population mean, proportion or standard deviation.
  • Estimated using inferential statistics.
  • Requires clearly defined target population.
  • Used as benchmarks in hypothesis testing.
  • Typically unknown and inferred from sample data.

Why are parameters important in market research?

Parameters allow researchers to make informed generalizations about an entire population based on a sample. By estimating population parameters accurately, marketers can evaluate campaign performance, forecast demand, segment audiences and make strategic decisions with statistical confidence.

Who relies on parameters in marketing research?

  • Market analysts conducting statistical modeling.
  • Survey researchers drawing population-level conclusions.
  • Brand managers comparing KPIs across audiences.
  • Data scientists building predictive models.
  • Executives making strategic, data-driven decisions.

How do market researchers use parameters?

Market researchers use parameters to quantify and describe key attributes of a target population. Since it is often impractical or impossible to survey an entire population, researchers collect data from a representative sample and use statistical techniques to estimate parameters such as population means or proportions. These estimates help inform everything from product development and pricing strategies to advertising effectiveness and market segmentation. Parameters are also critical when testing hypotheses, identifying trends or building models that support forecasting and decision-making.