CartLift

Most ecommerce stores have analytics but no interpretation. Owners can see that conversion is low without knowing which step, which device or which product page is responsible.

The data needed to answer that already exists in store events — it just needs to be captured cleanly, attributed correctly and summarised in plain language.

An event pipeline that captures the shopping funnel — product views, cart actions, checkout steps — with a lightweight client script that does not slow the store down.

Aggregation identifies where sessions break down by segment, and a language model turns those patterns into written recommendations tied to specific pages.

Recommendations link back to the underlying data so a store owner can verify the reasoning instead of trusting a black box.