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      A/B testing is a method of comparing two versions of a page against each other to determine which one performs better. The method consists on running an experiment where two or more variants of a page are shown to users at random, and an algorithm is used to determine which variation performs better for a given conversion goal. 

      The goal of this Epic is to allow users creating a content page in Liferay DXP to define variants of a page, run experiments and track its progress. This feature will be possible thanks to integration with Liferay Analytics Cloud (The stories are linked with their counterpart in the LRAC epic).

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              eduardo.garcia Eduardo García (Inactive)
              angelo.youn Angelo Youn (Inactive)
              Wesley Gong Wesley Gong
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