Gold Standard for Testing—or False Idol?

qimono / Pixabay You regularly run A/B tests on the design of a pop-up. You have a process, implement it correctly, find statistically significant winners, and roll out winning versions sitewide. Your tests answer every question except one: Is the winning version still better than never having shown a pop-up? A hold-out group can deliver …

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