A/B testing, also known as split testing, is a method of comparing two versions (A and B) of a web page, email, or ad to determine which one performs better in terms of user engagement or conversion rates. By presenting each version to a randomly divided audience and analyzing the results, digital marketers can make data-driven decisions to improve marketing materials and achieve better results. The term is most often associated with contextual advertising services.
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