You should now have a good grasp of what A/B testing is, you can start diving deeper into the theory of testing. Along with the lucrative successes from testing, there are also quite a few pitfalls that come with it. Knowing about these pitfalls ahead of time will let you consciously avoid them as you prepare your hypothesis, craft your tests and analyze your data. At this point, you’ll also want to understand what multivariate testing is and when you should be using this instead of A/B testing.
Now that you’ve completed this lesson, you should be all set to start testing your products. You have your platform of choice from #1, a set of test options and relevant hypothesis from #2, a set of copy tests from #3, and tools to properly manage and analyze your data form #4. Lastly, #5 should have given you the understanding of difficulties with A/B testing, along with the alternative: Multivariate tests.
So, what are you waiting for? The data is out there just waiting for you to gather it.