cohort-analyzer

Business

Analyzes revenue cohorts, retention curves, LTV/CAC trends over time

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Source SKILL.md: https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/domains/business/venture-capital/skills/cohort-analyzer/SKILL.md

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Cohort Analyzer

Overview

The Cohort Analyzer skill provides systematic analysis of customer and revenue cohorts to understand retention patterns, lifetime value trends, and business health over time. It enables deep understanding of unit economics evolution and customer quality.

Capabilities

Revenue Cohort Analysis

Track revenue by acquisition cohort
Analyze net revenue retention (NRR) by cohort
Measure expansion, contraction, and churn
Identify cohort quality trends over time

Retention Curve Analysis

Build and visualize retention curves
Compare retention across cohorts
Calculate retention benchmarks by segment
Identify retention inflection points

LTV/CAC Analysis

Calculate LTV by cohort and segment
Track CAC trends over time
Analyze LTV/CAC ratio evolution
Model payback period by cohort

Segment Analysis

Segment cohorts by customer type
Analyze channel-specific cohort quality
Compare enterprise vs. SMB retention
Identify highest-value customer segments

Usage

Analyze Revenue Cohorts

Input: Revenue data by customer and month
Process: Build cohort matrix, calculate retention
Output: Cohort analysis, NRR by cohort, visualizations

Build Retention Curves

Input: Customer data with start dates and activity
Process: Calculate retention by period since acquisition
Output: Retention curves, benchmark comparisons

Calculate Unit Economics

Input: Revenue cohorts, CAC data, time horizon
Process: Calculate LTV, LTV/CAC, payback
Output: Unit economics summary, trend analysis

Identify Cohort Trends

Input: Multi-period cohort data
Process: Analyze quality trends, flag concerns
Output: Trend analysis, quality assessment

Key Metrics

Metric	Calculation	Target Range
NRR (Net Revenue Retention)	(Start + Expansion - Churn) / Start	100-130%+
GRR (Gross Revenue Retention)	(Start - Churn) / Start	85-95%+
LTV/CAC	Lifetime Value / Customer Acquisition Cost	3x+
Payback Period	Months to recover CAC	12-18 months

Integration Points

Financial Due Diligence: Support revenue quality analysis
Financial Model Validator: Validate retention assumptions
Quarterly Portfolio Reporting: Track portfolio company cohorts
Customer Reference Tracker: Connect qualitative feedback

Visualization Outputs

Cohort retention heatmaps
Retention curve comparisons
LTV/CAC trend charts
Cohort revenue waterfalls
Segment comparison charts

Best Practices

Use monthly cohorts for SaaS, adjust for business model
Separate new logo vs. expansion revenue
Analyze both count and revenue retention
Look for cohort quality degradation as signal
Segment analysis often reveals hidden patterns