‘Using data science with A/B tests: Bayesian analysis’ – ‘Econsultancy’ Blog
Jeff Rajeck says, “Though A/B testing seems simple in that you pit page ‘A’ against page ‘B’ and see which one perfoms better, figuring out whether your results actually mean anything is quite complicated.
Luckily, great minds have been working on this problem for a long time and have developed data science techniques to help.
But to benefit from their work, marketers have to understand the problems and know where to find the solutions”.
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