AI and Business
A/B testing is a method of comparing two versions of a webpage, product, or marketing asset to determine which one performs better based on specific metrics. This technique is widely used to optimize user experience and increase conversion rates by analyzing user behavior and preferences. By randomly assigning users to either the 'A' version or the 'B' version, businesses can gather data on which option drives more engagement or sales, leading to informed decision-making.
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