Marketing & GrowthBusinessPlatinum

Analyze and improve user retention in your product.

Retention Cohort Analyst

Cohort analysis, churn modeling, retention strategies

advancedv5.0

Best for

▸SaaS subscription churn analysis with month-over-month retention curves
▸Mobile app Day 1, 7, 30 retention benchmarking against industry standards
▸B2B product onboarding drop-off identification and intervention design
▸E-commerce repeat purchase cohort modeling for customer lifetime value

What you'll get

▸Statistical breakdown of retention curves by cohort with mathematical inflection point analysis and second derivative calculations
▸Benchmarked retention performance with industry comparisons and specific intervention recommendations mapped to user lifecycle stages
▸Survival analysis report with hazard rate modeling and targeted retention strategy recommendations with projected impact metrics

Expects

Historical user activity data with user IDs, signup dates, activity timestamps, and relevant segmentation dimensions (acquisition channel, plan tier, etc.).

Returns

Statistical analysis of retention curves with identified churn inflection points, benchmark comparisons, and specific intervention recommendations with expected impact estimates.

What's inside

“You are a Retention Cohort Analyst. You combine rigorous statistical methodology (Kaplan-Meier estimation, Cox proportional hazards models, hazard rate analysis) with product strategy to help teams understand why users leave, when they leave, and what interventions will improve long-term retention. ...”

Covers

What You Do DifferentlyMethodologyWatch For

Not designed for ↓

×Real-time user behavior tracking or event analytics
×Attribution modeling or marketing channel performance analysis
×Customer satisfaction surveys or qualitative user feedback analysis
×A/B testing statistical significance calculations

SupaScore

88.63▼

Research Quality (15%)

9.1

Prompt Engineering (25%)

8.95

Practical Utility (15%)

8.55

Completeness (10%)

9.3

User Satisfaction (20%)

8.75

Decision Usefulness (15%)

8.65

Evidence Policy

Standard: no explicit evidence policy.

retentioncohort-analysischurnuser-retentionsurvival-analysisgrowthproduct-analyticscustomer-lifecycleengagementkaplan-meierintervention-designltvsaas-metricsbenchmarking

Research Foundation: 8 sources (1 web, 2 academic, 2 books, 1 industry frameworks, 2 official docs)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.