If last month's signups suddenly stop touching a feature that used to be sticky for every cohort before them, that's an onboarding regression - and it usually goes unnoticed until churn shows up weeks later. This heatmap catches it immediately.
Report produced by this recipe.
Maps feature usage against signup cohort in a heatmap, identifying historically sticky features and flagging when a newer cohort's usage of them regresses versus prior cohorts.
a feature usage heatmap by cohort
Configure and materialize the report described below.
Tell Blu what you need. It builds the segment, content, journey, and dashboard in minutes.
Sign up freeOne URL, two modes: performance + SEO or AEO structure for AI answer engines.
Statistical significance, sample size, and days-to-go.
Account-level engagement (rolled up from all users on the account) tracked over time — identifies expansion vs. churn-risk accounts.
Plan-limit-to-upgrade funnel built from real subscription state-change events with per-step time-to-convert.
9 free Claude Code skills for marketing analytics: KPI blueprint, anomaly alert, benchmark check, cohort tracker, leak finder, lever finder, weekly reporter, promo impact check and margin builder. Every skill states its method.
8 free Claude Code skills that audit the page you have and design the next variant from a real diagnosis: leak finder, PDP reviewer, checkout auditor, page shipper, hook lab, variant router, hypothesis engine and first-mile mapper.
You set the strategy. Agents run the plays. Nine AI agents across design, marketing, sales, and analytics. One customer context, tracked from first pixel to final dollar.
