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Also known as: split testing, bucket testing

A/B Testing

ConceptualProductMarketing

Definition

A/B Testing: A/B testing is an experiment where two or more variants are shown to different user groups to determine which performs better for a specific goal. A/B tests help make data-driven decisions about product changes, pricing, messaging, and more.

Example Usage

“Our A/B test showed the new pricing page increased conversions by 23% with statistical significance.”

Common Misconceptions

You can test everything at once. Test one variable at a time for clear results.
Any sample size works. You need sufficient sample size for statistical significance.
The winner is always clear. Sometimes results are inconclusive and that's valuable too.

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