A/B testing (also known as split testing) is a method of comparing two versions of something (e.g., a webpage, app feature, marketing email) to determine which one performs better. It involves randomly showing one version (A) to a segment of your audience and another version (B) to another segment, and then analyzing which version achieves the desired outcome (e.g., higher conversion rate, more clicks, increased engagement). A/B testing is commonly used to optimize user experiences and improve business metrics.
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