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.