What Is AB Testing In Digital Marketing?
You've started your digital marketing career and you've heard about AB testing, but you still have the question, "What is AB testing in digital marketing". This video will help answer these questions.
Essentially, an A/B test is just an experiment you run where you keep everything the same except for one independent variable that you want to optimize. You will want to also define your dependent variable so you know how to measure progress.
Once you have your experiment running, it's always important to let it run. Don't cut your experiment short. If you do that, you might make wrong decisions with your business that can lead to fatal errors.
Make sure that you use the Law of Large Numbers to make sure that the probability of a conversion has converged to its true value. If you cut the experiment too short, you might never get to that true value.
On the flip side, knowing when to cut the experiment is equally as important. Running experiments take time, energy, and money, so you want to be efficient with your resources.
If the probabilities aren't changing by much after a while, then they have converged to their true values and it's time to end the experiment.
After you've ended your experiment, it's time to analyze the data. You want to make sure that you don't compare using absolute scales but rather with relative scales. You want to use a comparative statistical model to compare results.
In the video, I go over a real world case scenario of using A/B testing and then go into some bonus tips. Watch the video to learn more.
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