A/B Testing (A/B)

A/B testing (also called split testing) compares two versions of a web page, email, ad or app feature against each other. You show version A to one audience segment and version B to another, then measure which performs better based on a specific metric—usually conversions, clicks or revenue.

For most businesses, small improvements compound quickly. A 2% uplift in conversion rate on your landing page or a 15% increase in email open rates might seem modest, but they directly impact your bottom line. A/B testing removes guesswork from decisions about design, copy and user experience. Instead of debating which call-to-action button colour works best, you measure it.

The process requires statistical rigour. You need sufficient traffic and time to reach meaningful conclusions—typically 100+ conversions per variation minimum. Running tests too briefly or with too little traffic produces false positives. That's why we establish clear hypotheses, define success metrics upfront and let tests run until results reach statistical significance.

A/B testing works across your entire digital presence. We test landing pages against competing layouts, email subject lines to improve open rates, ad creative variations to lower cost-per-acquisition, and button text to boost clicks. The insights compound—each test informs the next, creating a systematic approach to continuous improvement rather than one-off optimisations.

Beyond simple two-version tests, multivariate testing lets you compare multiple elements simultaneously. This requires more traffic but reveals interaction effects—for instance, how a specific headline performs with different images. We design tests strategically to answer your most important questions first.