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A/B Testing

A randomized experimentation process where two or more versions of a marketing asset (such as a webpage, email, or digital ad) are shown to different segments of an audience at the same time. By comparing user interactions and conversion rates, marketers can determine which version drives better performance and make data-backed decisions to optimize campaigns.
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