[ ey-bee-tes-ting ]
An A/B test method that asks you to compare two variations of the same ad, email, content pieces, or any other material to see which one has the potential to perform better. A/B testing is also popularly known as split testing, which involves a very small change in the two variations, like a graphic or maybe a headline.
It is important to ensure that you make a very small change in the two pieces so that you can properly test them before releasing them to the entire following.
For example, you are sending out an email announcing the latest feature launch. To A/B test the emails, you can send out two of them with different subject lines or graphics. Divide your list into two segments with the same properties for maximum effectiveness.
The one that performs the best is the better email.
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