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Measurement

A/B Test (Split Test)

An A/B test splits traffic between two versions to measure which performs better, isolating the effect of a single change so you learn from data instead of opinion.

What it means

Show version A to half your audience and version B to the other half, change one thing, and measure the difference. It converts arguments about copy, creative, or layout into evidence.

Why it matters

Compounded over a year, a disciplined testing cadence is how conversion rates climb without more traffic.

Common mistakes

  • Calling a winner before reaching statistical significance.
  • Testing too many changes at once, so you cannot tell what worked.
  • Stopping the moment the result looks good (peeking).
  • Running tests with too little traffic to ever reach significance.
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