Glossary/Measurement & Attribution/Confidence Interval
Measurement & Attribution
Confidence Interval
A range of values that likely contains the true effect of a test, expressing the uncertainty around a measured lift.
By Brandon Mina·CEO, BrandPilot AI·Updated November 2026
Short answer
A confidence interval is a range of values that likely contains the true effect being measured, such as the lift from an A/B test, at a chosen confidence level like 95%. It expresses the uncertainty around a result: narrow intervals indicate precise estimates, while wide intervals suggest the true effect could differ substantially.