A/B testing compares two versions of a page or element, showing each to a portion of visitors, to see which performs better on a specific goal like clicks or signups. Testing one variable at a time, rather than multiple changes at once, makes it clear what actually caused any difference in results. Running the test long enough to gather meaningful data avoids drawing conclusions too early.
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