Some companies test hundreds of ad sets each month. This is not only costly, but it also alienates potential customers – ad fatigue at best, lost trust in the brand at worst.
Most ad platforms aren't helping either given that they reap the rewards of A/B tests in the form of ad spend.
What if there was a way to test image and copy prior to publishing a campaign?
That's what some of our users are doing: Train a custom AI model based on the historic performance of ad sets. This doesn't save the world but at least a bunch of dollars.