A/B testing is one of the most popular controlled experiments used to optimize web marketing strategies. It allows decision makers to choose the best design for a website by looking at the analytics results obtained with two possible alternatives A and B.
In this article we’ll see how different statistical methods can be used to make A/B testing successful. I recommend you to also have a look at this notebook where you can play with the examples discussed in this article.
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