What problem does it solve? Ecommerce teams know users abandon their funnels but struggle to identify which step is actually broken, whether the drop exceeds normal attrition, and where abandoners go next. This Skill turns Heatmap MCP funnel and journey data into a prioritized diagnosis with a revenue opportunity estimate. ## Core Features & Use Cases - Worst-Step Identification: Compares each funnel step's abandon rate against ecommerce benchmarks to find the single fixable drop, then quantifies revenue opportunity with the formula abandoned_users × revenue_per_completed_user × 0.20. - Journey Continuation Analysis: Uses get_journey_continuation_analytics to reveal where cart or checkout abandoners navigate next, distinguishing comparison-shopping from confusion or site exits. - Quadrant-Stratified Funnels: Runs the same funnel across new/returning and mobile/desktop filters to determine whether friction is a cold-traffic trust problem or a structural issue. - Use Case: A store sees high checkout abandonment. The Skill pulls the funnel, finds Checkout Start → Complete abandons at 68% versus a 30–50% benchmark, estimates $56,000/month opportunity, then drills into checkout click and revenue-per-element data to locate the friction. ## Quick Start Ask Claude to find where our purchase funnel is losing the most users this month and estimate the revenue opportunity from fixing the worst step.
