A/B testing comes in several variations, each suited to different experimental needs. Understanding these types helps you choose the right approach for your optimization goals.
Split Testing (A/B Testing) is the simplest form where you compare two versions of a single element. One group sees version A (control), another sees version B (variant). This is ideal for testing headlines, button colors, or call-to-action text.
Multivariate Testing (MVT) tests multiple variables simultaneously. For example, you might test different combinations of headlines, images, and button text. While this requires more traffic, it reveals interaction effects between elements.
Multi-Page Testing (Funnel Testing) extends testing across multiple pages in a user journey. This is crucial for e-commerce checkouts or multi-step forms where changes on one page affect behavior on subsequent pages.
Multi-Armed Bandit Testing dynamically allocates traffic to better-performing variants during the test. Unlike traditional A/B tests that split traffic 50/50, bandit algorithms shift more users to winning variants over time.