Bayesian Testing

Bayesian testing is a way to turn data into a plain probability that one version is better than another. It starts with what you think is reasonable, then updates that belief as results come in. An example output might say "there is a 96% chance Version B is better," which many teams find easier to act on. You can decide to stop early when the probability is high enough or keep learning if it is uncertain. Example: after a day of testing select traffic, you see a 95% chance that a new headline lifts click‑through, so you roll it out to everyone.