What problem does it solve? Web analytics tools return raw numbers, but without a consistent metric framework teams misread conversion rate as a percentage, compare dissimilar elements incorrectly, and optimize for vanity metrics instead of revenue. This Skill gives Claude exact definitions, formulas, API field mappings, and decision rules for every metric in the Heatmap methodology. ## Core Features & Use Cases - Metric Definitions with API Mappings: Precise formulas and exact Heatmap MCP field names for RPS, RPC, AOV, CR, LPS, sessions, pageviews, scroll depth, and time on page. - Four MCP Recipes: Ready-to-use query patterns for sitewide North Star metrics, page-level RPS ranking, element-level RPC computation for Conversion Killer detection, and scroll-depth engagement diagnosis. - Decision Rules and Gotchas: Enforces RPS as the tiebreaker metric, the 50-click RPC reliability threshold, decimal-to-percentage conversion for CR, and mandatory traffic segmentation before reporting. - Use Case: Ask which homepage elements are Conversion Killers, and Claude queries get_raw_event_analytics, computes RPC per selector, and flags elements with over 50 clicks but near-zero attributed revenue. ## Quick Start Ask Claude to pull last month's RPS, conversion rate, and AOV for your site and identify which high-traffic pages are underperforming on revenue per session.
