Data-Driven Hypothesis
& Test Design

We transform user data and UX audit findings into actionable hypotheses designed to lift conversion rates. Each idea is ranked by potential impact and tested against the live site in controlled A/B experiments. From trust signals to layout changes, every test is designed, developed, and validated with client approval. The result is measurable improvements rooted in evidence, not guesswork.

Key Features

Evidence-Based Ideas

Generate hypotheses from GA4, UX audits, and behaviour data.

Impact Prioritisation

Rank tests by potential gain and probability of success.

Controlled A/B Tests

Compare variants in real conditions for reliable insights.

Full Development

Design and implement all test elements, ready for launch.

Client Approval

All tests vetted with you before running on your store.

Result Transparency

Clear reporting on winners and measured impact.