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A/B testing articles

A/B testing is the most reliable way to base decisions in an online shop on data instead of opinions.

What you will find here

  • Guides to test design, sample sizes and statistical significance, plus the typical mistakes that make test results useless.
  • How to phrase hypotheses cleanly, prioritise tests and read results correctly.
  • So that every test brings either revenue or a solid insight.
  • For shop owners and teams who test themselves or want to judge their agency's work better.

Learn it step by step from the ground up: Academy track A/B-Testing Mastery ↗

A/B testing

Why Statistical Significance Matters in A/B Testing

Statistical significance is the decision criterion in data-driven optimisation. It tells you how likely it is that an observed difference between two variants didn’t happen by chance.

5 min read

Let’s start with your shop.

In the Dropoff Analysis you see where your shop loses buyers. Afterwards you know where the first step pays off.