What problem does it solve? Landing pages often underperform without a clear diagnosis of which element is failing. This Skill applies Dylan Ander's landing page methodology — the 1-Second Test, a four-element rubric (headline, hero image, buy box, social proof), and a five-type page taxonomy — combined with Heatmap MCP data recipes to pinpoint the exact failure point with real analytics. ## Core Features & Use Cases - Four-Element Diagnostic Rubric: Evaluate headline, hero image, buy box, and social proof, with decision rules mapping scroll depth and click data to specific element failures. - Five Page Type Taxonomy: Match products to Long-Form, Listicle, Advertorial, VSL, or PDP-as-LP formats based on price point, traffic source, and audience skepticism. - Four MCP Recipes: Validate the 1-Second Test with click heatmaps, score elements by attributed revenue, classify page types, and run mobile PDP diagnostics using get_heatmap, get_raw_event_analytics, and get_raw_pageview_analytics. - Use Case: A merchant asks why their supplement landing page is not converting. The Skill runs scroll depth and click analysis, finds scroll depth under 0.25, diagnoses a hero section failure, and prescribes a Dream Outcome headline rewrite using customer survey verbatims. ## Quick Start Ask Claude to evaluate why your landing page at a specific URL is not converting using your Heatmap data.
