Why it matters
It isolates the effect of one change. Reliable results need a planned sample size and a full run, not an early stop.
Glossary // A
An A/B test compares two versions of a page, ad or message by showing each to a random share of visitors and measuring a chosen result.
It isolates the effect of one change. Reliable results need a planned sample size and a full run, not an early stop.