A method of comparing two or more versions of a landing page, offer, or element by splitting traffic between them and measuring which performs better.
A/B testing (also known as split testing) is a controlled experiment where traffic is randomly divided between two or more variants to determine which produces better results. In affiliate marketing, this typically means testing different landing pages, offers, headlines, or CTAs.
The key to valid A/B testing is statistical significance — making sure the difference in performance isn't due to random chance. This requires sufficient sample size (typically 100+ clicks per variant) and a statistical test (like chi-squared) to confirm the result.
GeoRedir implements A/B testing through traffic split rules. Create two or more rules with percentage weights (e.g., 50%/50% or 70%/30%), and GeoRedir randomly distributes visitors according to those weights.
GeoRedir goes further with statistical significance testing — it uses the chi-squared test and 95% Wilson confidence intervals to declare a winner only when the data supports it. Auto-optimization can automatically shift traffic to the winning variant.
Learn more in our A/B Testing Guide.
GeoRedir includes chi-squared significance testing and auto-optimization. Know which variant wins — not just guess.
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