Glossary/Measurement & Attribution/Sample Size Calculation
Measurement & Attribution
Sample Size Calculation
Determining how many users, conversions or regions a test needs to detect a given effect with the desired confidence and power.
By Brandon Mina·CEO, BrandPilot AI·Updated November 2026
Short answer
A sample size calculation determines how many users, conversions or regions a test needs to detect a given effect with the desired confidence and statistical power. Inputs include the baseline rate, the minimum detectable effect and the significance level. Calculating it before launch prevents underpowered tests and premature conclusions.