A/B Testing
A/B testing (also known as split testing or bucket testing) is a method of comparing two versions of a web page against each other to determine which one performs better.
AB testing is essentially an experiment where two or more variants of a page are shown to users at random, and statistical analysis is used to determine which variation performs better for a given conversion goal.
A/B testing enables you to make careful changes to their user experiences while collecting data based on the results to construct hypotheses and to understand why certain elements affect their behavior on a specific page.
AB testing is essentially an experiment where two or more variants of a page are shown to users at random, and statistical analysis is used to determine which variation performs better for a given conversion goal.
A/B testing enables you to make careful changes to their user experiences while collecting data based on the results to construct hypotheses and to understand why certain elements affect their behavior on a specific page.
