Experimentation

A/B Testing

Comparing two versions of a marketing asset to a randomized audience to determine which performs better against a defined metric.

In practice

A/B Testing appears across experimentation workflows. Practitioners encounter it when planning campaigns, evaluating performance, or briefing collaborators. The most common pitfall is treating it as a vanity number rather than a decision-supporting signal.

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