A/B Email Tests: find out what will work in the long run
A/B Testing lets you hold a “bake off” for your marketing ideas to see which ones will drive the most profit in the future.
Consider the following example: imagine you’re testing two different emails, a serious email and a funny email. You send out 1000 of each email type and wait to see how the results come in. Now imagine that the serious email drives a 10.2% conversion rate, and the funny email drives a 11% conversion rate.
Is it safe to assume that the funny email will always drive a better conversion rate? Or might that slight edge have just been due to random chance?
Custora runs A/B tests and analyzes the results looking for ideas that are better in a statistically significant way. Statistical significance is due to a number of factors, including how many emails you send in your tests, how wide the results are between your ideas, how many ideas you’re trying, and more.