eCommerce optimization
Most stores do not have a traffic problem. They have a conversion problem that traffic is being bought to cover. Ecommerce optimization works the other way round: it raises what each existing visit is worth, which lowers the cost of every channel feeding the store at the same time.
Finding where revenue leaks
We start with the funnel rather than with opinions. Analytics, session recordings, on-site search logs and checkout drop-off show where people actually stop: a category page that cannot be filtered the way people shop, a product page missing the one detail that decides the purchase, shipping cost revealed too late, a checkout that asks for an account.
Testing instead of redesigning
Full redesigns are slow and rarely isolate what worked. We run prioritised experiments on the templates that carry the most revenue, measure properly, and keep the ones that win. Prioritisation is by expected value, so high-traffic templates and high-drop-off steps come first.
Speed and technical health
Performance is a conversion factor, not a separate engineering concern, and mobile carries most of the loss. We work against Google’s Core Web Vitals thresholds, then verify improvements against revenue rather than against lab scores alone.
How it connects to the rest
Ecommerce optimization multiplies everything upstream, so it is usually run alongside acquisition rather than after it. Clients combine it with conversion rate optimization on specific funnels, digital marketing for eCommerce for paid channels, and email marketing for ecommerce to capture the visitors who leave without buying.
