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A/B testing is a method of comparing two versions of a web page, product, or marketing strategy to determine which one performs better in terms of user engagement and conversion rates. This technique helps marketers make data-driven decisions by allowing them to analyze how changes affect consumer behavior, thus optimizing their strategies for better results.
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