A/B testing (also known as split testing) is a method of comparing two versions of something (e.g., a webpage, app feature, marketing email) to determine which one performs better. It involves randomly assigning users to different versions and measuring the results (e.g., conversion rates, click-through rates) to identify statistically significant differences. It's commonly used to optimize user experiences and improve key performance indicators.
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