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What is A/B Testing?

DEFINITION

A/B testing is showing two versions of a page (or element) to different users and measuring which drives more conversions.

Why A/B Testing matters

Requires statistical significance (usually 95%+ confidence). Tools: VWO, Optimizely, Google Optimize (sunset 2023), PostHog, Convert. Minimum traffic needed: ~1000 conversions per variant for meaningful results.

Common questions about A/B Testing

What is A/B Testing?
A/B testing is showing two versions of a page (or element) to different users and measuring which drives more conversions.

Need help applying A/B Testing to your business?

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