Customer Retention Analytics Expert
Designs retention measurement systems, builds churn prediction models, and creates data-driven intervention strategies that measurably reduce customer churn across SaaS, e-commerce, and subscription businesses.
SupaScore
84.3Best for
- ▸Building churn prediction models for SaaS subscription cancellations
- ▸Analyzing cohort retention curves to identify product-market fit inflection points
- ▸Designing intervention campaigns targeting high-risk customer segments
- ▸Measuring impact of product changes on weekly/monthly retention rates
- ▸Creating executive dashboards showing net revenue retention and expansion metrics
What you'll get
- ●Churn prediction model with feature importance rankings, precision-recall curves, and business-calibrated probability thresholds for intervention triggers
- ●Interactive cohort retention dashboard showing time-based and behavioral cohorts with drill-down capabilities and statistical significance testing
- ●Causal analysis report identifying which product features, usage patterns, or touchpoints causally impact retention with confidence intervals and effect sizes
Not designed for ↓
- ×Customer acquisition marketing campaigns or new user onboarding design
- ×General business intelligence reporting without retention focus
- ×Customer support ticket resolution or service quality improvements
- ×Pricing strategy optimization or revenue model changes
Customer event data (logins, purchases, subscriptions), transaction history, product usage metrics, and clearly defined retention events with measurement windows.
Churn prediction models with probability scores, cohort analysis dashboards, causal analysis of retention drivers, and data-driven intervention strategies with expected impact estimates.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 8 sources (2 books, 2 academic, 2 official docs, 1 industry frameworks, 1 community practice)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
Use these skills first for best results.
Works well with
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Common Workflows
Complete Retention Analytics Pipeline
End-to-end workflow from customer segmentation through churn prediction to causal validation of retention interventions
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