winlab – AI-powered conversion-rate optimisation with context-aware simulation

Summary: winlab is an AI-driven simulation lab that improves conversion-rate optimisation by calibrating for specific traffic types and goals, combining visual and code analysis to prevent errors, and validating fixes through synthetic A/B tests. It eliminates the need for real visitor data by simulating traffic, enabling predictive insights before marketing spend.

What it does

winlab calibrates optimisation advice based on traffic context (Cold vs Warm) and user goals, using a hybrid Vision+Code scanner to accurately analyse websites. It runs synthetic A/B tests on proposed fixes to verify their effectiveness without requiring actual visitor data.

Who it's for

It is designed for growth and acquisition professionals seeking data-driven conversion optimisation without relying on costly or slow real-traffic experiments.

Why it matters

winlab addresses the limitations of generic AI audits and the cold start problem by providing context-specific, validated optimisation insights without needing existing traffic or marketing spend.