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Frequently Asked Questions

Everything you need to know before you start testing.

What is an A/A test?

A simple way to check if your testing setup is working correctly by comparing two identical versions of a page or experience.

Why should I run an A/A test?

A/A tests are most useful if you plan to run A/B experiments. They don’t show you which version performs better - they simply confirm that your experiment setup is accurate and trustworthy. By running an A/A test first, you can spot issues like uneven traffic splits, tracking errors, or duplicate users before launching a real A/B test. If you’re not planning on A/B testing, an A/A test won’t add much value on its own.

How long should an A/A test run?

It depends on your traffic. Once set up, the A/A test needs to run until it reaches statistical significance. The required duration will vary depending on the amount of traffic your site already receives.

What if my A/A test is faulty?

If your A/A test looks faulty, don’t panic. It’s actually a normal part of the process. Random variation can cause temporary differences between your groups, even though they should perform the same. The key is to let the test run long enough to reach statistical significance. If you see big, consistent differences early on, that usually points to a setup issue (like uneven traffic splits, tracking errors, or duplicate users being counted). If it is a setup issue we will spot this fairly quick and correct the error. That means we will double-check your implementation, then rerun the test. A properly configured A/A test should eventually show no meaningful difference between the groups.

Is this really free?

Yes, absolutely. No cost, no hidden catches. Just valuable insights you can put into action right away

Do you support other languages than English?

Absolutely. I regularly work with multilingual websites, ensuring the work resonate with your specific market.