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MEDIA PROMOTIONS

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A/B Test

Also known as · Split Test

Comparing two versions of a page, ad, or email by randomly splitting traffic to measure performance.

An A/B test compares two variants (A and B) of a page, ad creative, email subject, or other marketing asset by randomly splitting traffic between them. Statistical significance requires sufficient sample size — 200+ conversions per variant is a common minimum. A/B testing is the highest-leverage conversion optimization tool when properly run; poorly-run tests (under-powered, peeking, multiple variables) generate misleading conclusions.

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