A/B testing, specifically in the context of YouTube thumbnails. A/B testing is a user-experience technique where you compare two different versions of a YouTube Thumbnail to see which one performs better based on specific criteria. For YouTube thumbnails, this would mean showing two different thumbnails to separate groups of users and then analyzing their responses to determine which thumbnail is more effective.
YouTube A/B testing can be referred to as split testing or bucket testing, and it can even involve more than two variations. For now, the process for testing two YouTube thumbnails.
YouTube has created a FREE YouTube Thumbnail tool so I recommend you use the YouTube tool below.
https://support.google.com/youtube/answer/13861714
