SaaS Startup Metrics on the Globe

Customer records, subscription events, MRR/ARR data, and ad campaign metrics are ingested from CRM platforms (Salesforce, HubSpot) and product analytics tools (Mixpanel, Amplitude) via REST APIs and webhook event streams.

Customer lat/lng coordinates are mapped to H3 hexagonal cells at resolution 4 (avg ~1,800 km²) for global overview and resolution 7 (avg ~5 km²) for city-level drill-down. H3 provides uniform-area bins for unbiased geographic comparison.

A lightweight churn risk model scores each H3 cell using engagement drop-off, payment failure rates, NPS decline, and support ticket volume trends. Risk scores are normalized to a 0–100 range and used to color-code hex cells on the globe.

MRR and ARR contributions are aggregated per H3 hex cell and normalized against population density and total addressable market estimates. Relative revenue density is computed to highlight over- and under-performing geographic regions.

Digital ad spend by geographic region is correlated with conversion rates and LTV to compute regional ROAS (return on ad spend). Correlation coefficients are rendered as overlay bands indicating where ad investment is over- or under-delivering.

H3 hex cells color-coded by churn risk, revenue density, and ad ROI are rendered on a globe.gl WebGL globe. Real-time KPI badges and city-level drill-down panels update on hex click, providing actionable spatial intelligence for growth teams.