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customer-analytics

Customer analytics framework - cohort retention, lifecycle funnels, engagement scoring, segmentation, and behavioral diagnostics for product and CS teams. Use when: customer analytics, cohort analysis, retention curve, engagement score, customer segmentation, behavioral analysis, lifecycle funnel, RFM, activation diagnostics, usage analysis.

3estrelas
Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

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Ler descrição completa

Customer Analytics (LENS Framework)

Design a customer analytics architecture that answers which customers, doing what, are driving (or breaking) the business - instead of dashboards full of vanity counts. LENS produces a defensible segmentation, a retention model, an engagement score, and a behavioral diagnostic loop that PMs and CS can act on weekly.

Core Principle

**Customer analytics fails when it stops at "users went up." LENS forces decomposition into who, what, when, and *w

[Description truncada. Veja o README completo no GitHub.]

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