A/B testing is a method of comparing two versions of a website or product to see which performs better. Traffic is randomly divided between the two variants in order to obtain statistically valid results. The goal of A/B testing is to increase the conversion rate and improve the user experience. Through continuous testing and optimization, companies can make well-founded decisions based on data. A/B testing is an essential tool in digital marketing, as it helps to increase campaign effectiveness and improve customer loyalty.
A/B testing
Comparative test of two variants for optimization.
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