A/B Testing
A/B testing is showing two versions of a page or feature to different visitors at the same time to measure which one performs better. It replaces opinion about what will work with evidence from real behavior.
Why does A/B testing matter to your business?
Small changes — a headline, a button color, a layout — can meaningfully move conversion, but nobody can reliably guess which. A/B testing settles the debate with data, so you keep what actually works and drop what does not.
At Nabee, testing fits naturally with an analytics setup and ongoing maintenance, letting a site improve steadily rather than being frozen after launch. It is how a good site gets better over time instead of just older.
A concrete example
Testing two versions of a landing page's headline shows which one gets more signups. Rolling out the winner is a data-backed improvement, not a hunch — and the next test builds on it.
Related terms
Common questions
- How much traffic do I need to A/B test?
- Enough for the difference to be meaningful — very low-traffic pages take longer to reach a reliable result.
- What can I A/B test?
- Headlines, layouts, buttons, images, and flows are common. Test one meaningful change at a time for clear results.
- Is A/B testing worth it for small sites?
- It is most useful once you have steady traffic. Below that, usability testing often teaches more.