A/B testing

A method of comparing multiple versions of an execution against each other to determine which one performs better. This can apply to basic pack and product images, websites, creative executions, paid search results, etc. Two or more variants of an execution are shown to users at random, and statistical analysis is used to determine which variation performs better for a given conversion goal.

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