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BlastOptimize – Erreurs classiques ab testing

Common mistakes in A/B testing

The method for an A/B test is simple to describe: divide the traffic, compare the results, and wait for statistical significance. However, it's easy to misapply, and a handful of errors recur regularly, even among experienced teams. This article reviews the most frequent mistakes…
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BlastOptimize – Taille echantillon test fiable

What sample size is needed for a reliable test?

This is one of the most frequently asked questions by teams starting out with A/B testing: how many visitors, or how many conversions, are needed before a test result can be considered reliable? The answer isn't a one-size-fits-all figure—it depends on the initial conversion rate…
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BlastOptimize – Premier test ab

How to run your first A/B test

Launching your first A/B test can seem daunting: between choosing the right tool, the fear of "breaking" something on the live site, and the uncertainty of how to interpret the results, many marketing teams put it off. Yet, the mechanics of an A/B test…
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