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Method

A/B Testing

A/B testing compares two or more variants to estimate which performs better against a defined metric.

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Also A/B TestMarketing Refs Editorial, reviewed by Marketing Refs Review DeskCRO & Optimization2 sources

Decision model

A/B test = control + variant + sample + success metric

How it works

A/B tests reduce uncertainty by measuring behavior rather than relying only on opinion.

Key takeaways

  • Use A/B Testing when the decision depends on conversion friction, experimentation and offer clarity.
  • Pair A/B Testing with related concepts before changing strategy, budget or execution.

Where it is used

  • CRO & Optimization planning
  • Campaign review
  • Team alignment

Used by Marketing teams · Growth teams · Students

Examples

  • A cro & optimization team uses A/B Testing to turn a vague marketing discussion into a specific decision with owners and evidence.
  • A manager links A/B Testing to adjacent concepts before changing a campaign, journey, budget or operating process.

Common mistakes

  • Using A/B Testing as jargon without tying it to a decision, owner or measurement signal.
  • Treating A/B Testing as isolated from adjacent concepts that change how it should be applied.

Questions

What is A/B Testing?
A/B testing compares two or more variants to estimate which performs better against a defined metric.
When should marketers use A/B Testing?
A/B Testing should be used when it clarifies a marketing decision, owner, workflow or measurement question.
What is a practical example of A/B Testing?
A cro & optimization team uses A/B Testing to turn a vague marketing discussion into a specific decision with owners and evidence.

Sources

NextA/B Testing vs Incrementality Testing

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