An A/B test is a controlled experiment in which two variations of a page, ad, or individual element are shown to separate user groups at the same time to compare performance. By changing only one variable, such as a headline, call to action, or layout—marketers can isolate what drives better results, using metrics like conversion rate, click-through rate, or engagement to make data-backed optimization decisions.
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