A/B Split Testing refers to the execution of a controlled experiment involving two distinct variants (A and B) to objectively determine which one yields superior performance against a specific metric. This technique is invaluable for understanding the preferences and dislikes of a target audience regarding a digital property—be it a website, social channel, or advertising platform—allowing for data-driven optimization.
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