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Analytics Definition

A/B Testing

A method of comparing two versions of a webpage or ad to determine which performs better.

Full definition

A/B testing (also called split testing) involves showing two variants — the original (A) and a modified version (B) — to different segments of visitors simultaneously. By measuring a defined success metric such as click-through rate, form submissions, or revenue, marketers can make data-driven decisions rather than relying on guesswork. Statistically significant results typically require a large enough sample size and a meaningful difference between variants. A/B testing is foundational to conversion rate optimisation (CRO) and is used across landing pages, email subject lines, ad creatives, and call-to-action buttons.

Real-world example

An e-commerce brand tests two versions of a product page — one with a red 'Add to Cart' button and one with a green button — and finds the green button increases purchases by 12%.

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