A/B Testing

A systematic method of comparing two versions of a webpage, email, advertisement, or AI prompt against each other to determine which one performs better with your target audience. The process involves showing version A to one group and version B to another, then measuring key metrics like click-through rates, conversions, or engagement. This data-driven approach removes guesswork from marketing decisions and allows you to continuously optimise your content based on real user behaviour rather than assumptions.

Why it matters

When you're building an AI-powered business, A/B testing helps you maximise revenue by identifying which prompts, designs, or offers convert best. Even small improvements (2-3%) compound significantly over time.