Test three wildly different thumbnails first to find a clear winner, then optimize the winner's text in smaller tests. Start with real faces, AI faces, or colorful images to see what actually works before tweaking details.
If we would put in three dramatically different thumbnails. Like, one is, like my real face, one is an AI generated face. One is just like a colorful picture, and it doesn't have me in the thumbnail at all. But they'd be wildly different. We'd find you'd get, like, one would be 25%, one would be 45%. One would be, like, 12% or whatever. I don't know. I obviously didn't do the math in my head right there, but, you know, that one would be like, a dramatic winner. And then once you find that dramatic winner, you go and take the thumbnail that won and do another split test, but this time, try testing different text. And now you're going for marginal improvements, but you're not really going to see the marginal improvements by three really close thumbnails. So that's starting with the variations. Yeah, absolutely.
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