+A/B testing, also known as split testing, compares two versions of a single variable to discover which performs best. It's a gentle, data-driven nudge for [Product Development](/wiki/product_development) or [Digital Marketing](/wiki/digital_marketing), guiding choices with real user feedback.
+## See also
+- [Experiment Design](/wiki/experiment_design)
+- [Conversion Rate](/wiki/conversion_rate)
+- [User Experience](/wiki/user_experience)
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