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Mockly

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Notes on testing, speed, and statistics.

What we learn building a website platform with A/B testing built in: how to run experiments that are fast for visitors and honest about results, with the numbers to back it up.

All posts

Experiments7 min read

How long should you run an A/B test?

Run an A/B test until it can detect the smallest lift worth acting on, in whole weeks. How to work it out, with a calculator for your own numbers.

SEO7 min read

Does A/B testing hurt SEO? What Google says

Testing doesn't hurt SEO if you follow Google's four rules: don't cloak, use canonical links, use 302 redirects, and end tests on time. With a checklist.

Statistics8 min read

Why peeking at A/B tests finds false winners

Check a standard A/B test every day and its 5% false-positive rate quietly becomes 21%. We simulated 4,000 tests to show why, and what fixes it.

Performance8 min read

A/B test flicker: what causes it and how to fix it

Flicker is the flash of the original page visitors see before a testing script swaps in their variant. What causes it, what it costs, and how to remove it.

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