The document discusses A/B testing, a method used to compare two versions of a web element to determine which performs better in terms of sales, subscriptions, and lead generation. It highlights the benefits and limitations of A/B testing, outlining a seven-step process for implementation and emphasizing the importance of data-driven decisions. The document serves as a guide for transforming websites through effective A/B testing strategies.
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