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Updated October 22, 2026. An email capture pop-up converts a median of 0.83% of impressions. In other words, out of 1,000 visitors who see it, 992 close it, ignore it, or leave the page. Try a more aggressive version to gain a few tenths of a point and expose yourself…

Updated October 20, 2026 Contents Server-side testing: the short answer Client, server, edge: where the decision is made What milliseconds cost Feature flags: the engine of server-side testing Edge testing: the compromise that is gaining ground The pitfalls specific to server-side…

Updated October 19, 2026 Contents What is the flicker effect in A/B testing? Why flicker skews your results The 5 technical causes of flicker Synchronous or asynchronous snippet: the real trade-off Anti-flicker snippet: useful, but it comes at a price Measuring flicker…

Updated October 15, 2026. 12.75%. This is the false winner rate we obtained by applying a classic statistical test at the end of tests driven by a bandit algorithm, on 2,000 simulations where the two versions were strictly identical. With a fixed distribution…

Updated October 14, 2026. 39%. That's the proportion of the real effect that a language model recovered when Spotify researchers asked it to "play" the users of thousands of song tests already conducted on real visitors. In other words, the AI…