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This course teaches you an intuitive and novel way to setup and analyze a/b tests on your website so that you can come to the correct conclusions. Don't be one of the many people who just starts running tests without a clear understanding of how to set it up and analyze correctly. You will save yourself hours of arguing and months (or even years) of making decisions based on misinterpretations of what the data is telling you.
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|Section 1: Intro|
What we'll cover in this course... how to setup an a/b test and analyze it so you come to the right conclusions.
What we won't... a bunch of boring statistics. (PS If you like boring statistics, check out my other course on the topic!)
|Let's imagine Gap was running an A/B test in their stores.
|Section 2: The New Approach|
|We're going to show you a radically different way to setup and analyze A/B tests that gives you and your colleagues and real tangible feel for what the data means - and doesn't mean!
|Most a/b tests that get run do not produce a clear winner. So you'd better get good at detecting when this is the case.
|Your experimental version is looking good. But is it good enough to declare it a winner? Find out.
|There's a lot to like about this new approach. But it is a short-cut.
|Visualize what is actually going on when we setup and analyze a test this way.
|Section 3: Appendix|
Jared Waxman works at Yahoo! in Sunnyvale CA where he serves as Senior Director of Growth.
Previously he worked for Adobe in San Jose CA, where he served as Group Manager for Online Optimization & Analytics for Adobe.
In his nearly twenty years of experience in Silicon Valley where he gained experience in website optimization, web analytics, and growth hacking he has been on both the tools-side and the client-side, beginning as Director of Product Management for Alexa Internet's web measurement division, before working with Amazon and Intuit. He holds a Bachelors of Science from Yale University.