A/B Testing: Split Testing for Success
A/B Testing (or Split Testing) is an experiment where two or more variants of a page are shown to users at random to determine which one generates more conversions.
In A/B Testing, “Version A” is the original (Control) and “Version B” contains one specific change (the Variable). By splitting traffic 50/50, we can measure with statistical significance which version achieves the goal better. You can test anything from headlines and images to button colors and form lengths.
Frequently Asked Questions
It depends on your traffic. A test should run until it reaches “Statistical Significance,” meaning the result is not due to random chance. Usually, this takes 1 to 2 weeks.
If you test multiple variables at once, it’s called “Multivariate Testing.” For basic A/B testing, it’s best to change only one element so you know exactly what caused the change in performance.
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