A controlled experiment that compares two versions of a marketing element (such as an email, webpage, or advertisement) to determine which performs better. Version A is typically the control, while Version B contains a single variable change. Marketers use A/B testing to optimize conversion rates, click-through rates, and other key performance indicators by making data-driven decisions rather than relying on assumptions.
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