{"id":104699,"date":"2026-01-15T13:24:46","date_gmt":"2026-01-15T07:54:46","guid":{"rendered":"https:\/\/vwo.com\/blog\/?p=104699"},"modified":"2026-01-15T13:24:52","modified_gmt":"2026-01-15T07:54:52","slug":"ab-testing-vs-split-testing","status":"publish","type":"post","link":"https:\/\/vwo.com\/blog\/ab-testing-vs-split-testing\/","title":{"rendered":"A\/B Testing vs Split Testing: When & How to Use Each"},"content":{"rendered":"\n

The main difference between A\/B Testing and Split Testing lies in their scope. A\/B testing compares variations of the same page, while split testing evaluates entirely different pages hosted on separate URLs.<\/p>\n\n\n\n

Now imagine a product manager planning to improve a pricing page. The team has ideas ranging from rewriting a few CTAs to restructuring the entire page layout. The question isn\u2019t whether to test, but which testing method makes sense for the change being considered.<\/p>\n\n\n\n

This is where many teams hesitate. Without a clear mental model, it\u2019s easy to default to familiar approaches, over-test small changes, or avoid larger experiments altogether. The uncertainty isn\u2019t about capability, it\u2019s about understanding the scope of change you\u2019re trying to validate.<\/p>\n\n\n\n

To make that choice clearer, let\u2019s walk through how these two methods differ in practice, and when each one fits best in real-world experimentation.<\/p>\n\n\n\n

\"A\/B<\/figure>\n\n\n

What is the difference between A\/B testing and split testing?<\/strong><\/h2>\n\n\n

Although A\/B testing and split testing often get grouped under the same general concept, showing different versions to different users or site visitors and comparing test results, the way each method works is quite different.<\/p>\n\n\n\n

A\/B testing keeps users on the same page and same URL, while essentially comparing a variation (version B) against the original control (version A). The experiment typically focuses on individual design elements, such as headline changes, CTA updates, layout tweaks, or copy adjustments. Because everything happens within the same environment, this testing method is ideal for quick iterations, smaller UI decisions, and controlled experiments that deliver reliable data and reach statistical significance with fewer visitors.<\/p>\n\n\n\n

Split testing, on the other hand, compares different pages hosted on separate URLs. Each page variation can contain multiple elements, a different layout, or an entirely new user flow. Instead of rendering one variation on the same page, the platform sends different groups of users to different URLs. This approach is ideal when teams want to evaluate a redesigned template, a new onboarding flow, or alternative page structures across the entire user journey.<\/p>\n\n\n

A concise example to see both in action<\/strong><\/h4>\n\n\n

Let\u2019s say your team wants to improve conversions on a pricing page.<\/p>\n\n\n\n