A Beginner’s Guide To A/B Testing: An Introduction

A/B testing (also known as split testing) is the procedure for comparing two versions of a web page, email, or other advertising advantage and measuring the difference in functionality.

A/B testing is a wonderful method for figuring out the very best online promotional and advertising strategies for your enterprise. It may be employed to check everything from site copy to revenue emails to search for advertisements. And the advantages of A/B testing supply are enough to offset the extra time it takes.


Well-planned A/B testing may make a huge difference in the effectiveness of your advertising and marketing efforts. Narrowing down the best elements of marketing, then combining them can make your advertising efforts a great deal more profitable and effective.

How Do You Plan an A/B Test?

The first thing to do if planning an A/B exam would be to figure out what you want to test. Are you running an onsite test or an off-road evaluation? If you’re running an on-site test, you will want to think of all of the sales-related pieces of your website, and then figure out which components you would like to test.

With off-site evaluations, you are likely testing either an ad or a sales email. Testing ad copy to see which ad contributes to more converting visitors can allow you to focus your advertising efforts. Once you know your ad is converting in addition to potential, it’s easier to justify spending additional money on it.

The same holds for emails. If you send two variations to your list (randomly selecting which half gets which email), then monitor which one converts better, you can send only that version the next time. As soon as you understand what you’ll examine, make a listing of all of the variables you’ll test.

Make sure that before you start analyzing you have a clear idea of the results you’re searching for. You need to know your baseline outcome, which is that the results you’re currently getting. You would like to check alternatives A and B from each other, but you also want to know that each one does better in the evaluation is also doing better than your current results.

Alternatively, you can use A as your controller (leaving it whatever you are currently using) and then use something brand new for B. Tests need to be run concurrently to account for some variations in time. You can not test one variation today and the other one tomorrow, because you can not factor in any factors that might have changed between today and tomorrow. Instead, you need to split the traffic seeing your variants at precisely the same time.