A/B Test Predictor
Drop in two variants. We predict the winner, the confidence, and which dimension decided it.
How this works
True A/B testing requires real opens, clicks, replies, and the statistical patience to let those numbers settle. If you have that data and a real audience, run the test — nothing beats real evidence.
But before you spend three days and a chunk of your list on the test, this tool gives you a calibrated prediction. We read both variants, score them across four dimensions — clarity, hook, CTA, persuasion — and call a winner with a confidence number you can actually trust.
The confidence calibration matters: 0.55 means "they're basically tied, your audience will decide". 0.85+ means one variant has a clear edge and you can probably skip the test. We're explicit about uncertainty so you can act on it.
For best results, give us the audience as well. The same email can win for engineers and lose for marketers — the model accounts for that when you tell it who you're sending to.
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