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A/B Testing The Easy Way

Learn A/B Testing secret short cuts and forget the statistics. In under 35 minutes you can learn how to do it right!
3.1 (14 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
485 students enrolled
Created by Jared Waxman
Last updated 8/2013
$19 $20 5% off
30-Day Money-Back Guarantee
  • 30 mins on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What Will I Learn?
By the end of the course you will be able to determine a good design for your test, and have the tools and skills to analyze both the test itself as well as the quality of your testing infrastructure
View Curriculum
  • None. If you know how to flip a coin, you can do this course

 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.

Who is the target audience?
  • This is for beginner and intermediate level web marketers and optimizers
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Curriculum For This Course
Expand All 10 Lectures Collapse All 10 Lectures 30:15
2 Lectures 07:29

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!)

Preview 01:54

Let's imagine Gap was running an A/B test in their stores.
Preview 05:35
The New Approach
7 Lectures 19:14
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!
Preview 04:24

Systems Validation

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.
Declare a Loser

Your experimental version is looking good.  But is it good enough to declare it a winner? Find out.
Declare a Winner

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.
What Your A/As Represent

1 Lecture 03:32

Quick Quiz
8 questions
About the Instructor
2.6 Average rating
52 Reviews
1,441 Students
2 Courses
The Marketer's Mythbuster: A/B Testing & beyond

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.

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