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A/B testing is a method used to compare two versions of a webpage, app, or other digital content to determine which one performs better in achieving a specific goal, such as increasing user engagement or conversion rates. This process involves randomly showing different versions to users and measuring their responses, allowing for data-driven decisions in content creation and curation.
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