The method of building two different ad versions, running both of them, and then comparing the results to see which version performed better. The objective of these tests is to determine which variables positively affect user response and utilize those in our ads down the road.

Also known as split testing, this important metric compares two variations of an ad or a piece of content to see which version performs better on a given media platform.