Hey, it's Csaba, and welcome back! In this lesson, we're going to dive into A/B testing.
As discussed in the previous video, there's no single perfect way to measure the efficiency of your personalization efforts. Nonetheless, A/B testing has proven to be the most time-tested way to scientifically and continuously improve your results.
At a high level, A/B testing—which is also known as split testing—is about splitting your visitors into two or more groups, showing different content to each group, and then measuring which group had more conversions and ended up reaching your chosen goal.
In the personalization world, you'll usually have an assumption or idea for personalization that you want to test. It's usually called a hypothesis.
Then, you go ahead and create your personalized message. In order to see if it works, you'll split the segment you're targeting in two: showing your new personalized content to one half (which we call the test group) and the previous version to the other half (which is often called the control group).
After you collect enough data about the performance of these two groups (which is usually called statistical significance), you can evaluate the results and decide whether your hypothesis was true or false.
Running A/B tests is the surest way to victory. Why? Because you have a super-limited downside, but an unlimited upside.
This wraps up OptiMonk's website personalization course. Everything you've learned in this course will help you to get started with website personalization and improve your conversion rates. Thank you for joining me and be sure to like, share, and subscribe for more actionable videos and courses.
I'll see you in the next course!
