Conversion Rate Optimisation for E-commerce

We research before testing. Session recordings and funnel data tell you where to look; testing without that is a random walk through your own website.

In e-commerce, every change must be justified by a controlled experiment against revenue. That single fact reshapes how conversion rate optimisation has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is product recommendations, usually integrated against logistics aggregators. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.

Deployed across regulated and unregulated sectors, with audit trails where the regulator expects them. You own the code, the models where they are open-weight, and the documentation to run it without us.