What is the goal of A/B Testing?

Data Science, AI and ML
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What is the goal of A/B Testing?

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A/B testing is a method for comparing 2 versions of something against each other to discover which is the most successful. The something can be an image, a button, a headline, or beyond.
The aim of A/B testing is to enable you to make incremental improvements to your website or app. By pitting your current website or app against one or more variations, you can constantly iterate your design and validate this with real users.

With A/B testing, each test generates new data about what has worked and what hasn’t. Every time something works, this can be included in the website or app and now forms a new and improved design.
Ref:https://medium.com/@InVisionApp/a-b-and-see-a-beginner-s-guide-to-a-b-testing-a16406f1a239#:~:text=Why%20A%2FB%20test,validate%20this%20with%20real%20users.