Product
A/B Testing
Comparing two versions to see which performs better with real users.
A/B testing (or split testing) shows different versions of a page or feature to different users and measures which drives the better outcome. It replaces opinion with data for high-traffic decisions.
It's most useful when you have enough traffic for statistical significance; below that, qualitative research and best practices are more reliable guides.
Related terms
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