Heatmap-com-Inc

You can diagnose funnel drop-off and cart abandonment, interpret A/B test significance, prioritize experiments with ICE scoring, evaluate landing pages and popups, segment traffic by device and visitor type, compute metrics like RPS, RPC, and AOV, and apply upsell strategies to grow order value.

They target ecommerce operators, CRO specialists, growth marketers, and analysts working on conversion optimization. Anyone asking about landing page performance, test prioritization, email capture popups, or why visitors are not buying will trigger the relevant skill.

The heatmap-data-model skill is the execution layer. It handles querying Heatmap data, selecting the correct MCP tool, and authentication, letting you pull RPS data, funnels, and element-level revenue. Other skills layer interpretation and strategy on top of that data access.

Covered metrics include RPS, RPC, AOV, LPS, conversion rate, and scroll depth. Frameworks include the Gator/Judge model, Five Pillars, Quadrants of Traffic, the Billion-Dollar Data Funnel for customer research, the 1-Second Test, and the 8-second popup rule.

Yes. The experiment-design-and-prioritization and split-test-interpretation skills cover hypothesis writing, ICE scoring, sample-size calculation, statistical significance, and test structure, so you can decide what to test next and when to call a running test.