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A/B testing is a method used to compare two versions of a webpage, email, or other content to determine which one performs better based on user engagement and conversion rates. By randomly assigning users to different versions, marketers can gather quantitative data that helps them make informed decisions about design and content changes. This technique is crucial for optimizing user experience and improving overall effectiveness in digital communication.
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