A/B testing is a method used to compare two versions of a webpage, app, or product to determine which one performs better. In this process, users are randomly assigned to either the control group (A) or the variant group (B), allowing for direct comparisons based on user behavior or other metrics. The main characteristics include statistical analysis, controlled experimentation, and the ability to make data-driven decisions. Common use cases include optimizing website layouts, email marketing strategies, and product features to enhance user engagement and conversion rates.
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AI Fundamentals