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A/B testing
A/B testing, also called split testing, compares two versions of a page, email or ad by showing each to a share of real visitors and measuring which does better against one goal, such as sales or sign-ups. Only one thing should differ between the versions, so the result can be explained.
Updated 9 Nov 2026
In short
A fair test needs a clear goal, enough visitors to see a pattern, and a run time that covers a full cycle of weekdays. Stopping early because one version looks ahead is a common mistake. A site with few visitors may learn more from fixing obvious problems than from testing small changes.