A/B testing, or split testing, is a digital marketing technique that involves comparing two versions of a web page or application to see which performs better. These two versions, A and B are randomly shown to different visitors at the same time. Then a statistical analysis of the results determines which version performs better according to certain predefined indicators such as conversion rate.
In this Power BI report we compare the conversion rate of two web page and see if the performance improvement is statistically significant.
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