The Database of Winning A/B Tests - Issue 218
A/B tests success rates, curated collection of proven A/B tests, and the importance of transparent experimentation.
Before we start, I want to share an exciting opportunity in New York: join Peloton's Product Analytics team as a Data Scientist! 📊📈
Have you ever wondered why companies spend time on A/B testing when thousands of other companies have already tested the same and know which shape, color, and type of CTA performs better?
Wouldn’t it be amazing to have a universal database or repository of all completed A/B tests, with documented learnings on what color, banner size, and paywall format performed best?
Well, there is one! Not one, many. And they are growing.
Today, let’s talk about:
Where you can access these learnings from other companies and where you can share your own (please do).
Why we keep testing and re-testing exactly the same things. Over and over again.
What the test success rate is at other companies.
What the common winning stereotypes are (dark-screen mode, rounded buttons, sticky banners, etc.), and how accurate and trusted they are.
A/B tests repositories
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