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A/B testing is a process used to measure the impact of a variable change with respect to the achievement of a goal (click, views, validation, web form completion, etc.) In short, an A/B test allows to test two variable versions. Similarly, an A/B/C allows to test 3 versions, and so on. It is done in order to determine the highest performing ads and remove ineffective versions.

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