Research Topics:

Decision Research Consultation | Psychological/Emotion Research | Statistical Analysis

Content Type:

Glossary

Concomitant Variation Definition

The degree to which a cause and effect occur or vary together.

Concomitant variation is the simultaneous change or variation of two or more variables that permit researchers to examine relationships and correlations. The goal is to observe how changes in one variable correspond with changes in another variable. In other words, to determine the degree to which a cause and effect occur or vary together. Concomitant variation is crucial in marketing research because the process moves beyond simple correlations and uncovers potential causal relationships. Insights can aid in data-driven decisions, resources allocation and the effectiveness of marketing campaigns.

Who relies on concomitant variation?

Marketing professionals like analysts and researchers use concomitant variation to understand how marketing strategies, variables or factors impact one another.

Why should I care about concomitant variation?

Concomitant variation identifies causal relationships between marketing elements. The analysis that results from studying cause-and-effect relationships can lead to more informed marketing strategies, budget allocation and resource management. The insights enable marketing professionals to work more effectively.