Claude-Skills saas-metrics-coach

install
source · Clone the upstream repo
git clone https://github.com/borghei/Claude-Skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/borghei/Claude-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/finance/saas-metrics-coach" ~/.claude/skills/borghei-claude-skills-saas-metrics-coach && rm -rf "$T"
manifest: finance/saas-metrics-coach/SKILL.md
source content

SaaS Metrics Coach Skill

Overview

Production-ready SaaS metrics toolkit for calculating MRR/ARR, analyzing cohort retention, and evaluating unit economics. Designed for SaaS founders, finance teams, and growth operators who need precise subscription revenue analysis without spreadsheet gymnastics.

Quick Start

# Calculate MRR, ARR, growth rate, and churn from subscription data
python scripts/mrr_calculator.py subscriptions.csv

# Run cohort retention analysis
python scripts/cohort_analyzer.py users.csv --cohort-period monthly

# Calculate LTV, CAC, LTV:CAC ratio, and payback period
python scripts/unit_economics.py metrics.json

Tools Overview

ToolPurposeInputOutput
mrr_calculator.py
MRR, ARR, growth rate, churnCSV with subscription dataRevenue metrics + trends
cohort_analyzer.py
Cohort retention analysisCSV with user signup/activity dataRetention matrix + curves
unit_economics.py
LTV, CAC, LTV:CAC, paybackJSON with acquisition/revenue dataUnit economics dashboard

Workflows

Workflow 1: Monthly SaaS Health Check

  1. Export subscription data as CSV (columns: customer_id, plan, mrr, start_date, end_date)
  2. Run
    mrr_calculator.py
    to get current MRR, ARR, net new MRR, churn rate
  3. Run
    cohort_analyzer.py
    on user activity data to identify retention trends
  4. Run
    unit_economics.py
    to validate LTV:CAC ratio stays above 3:1
  5. Review output for warning flags (churn > 5%, LTV:CAC < 3, payback > 18 months)

Workflow 2: Investor Deck Preparation

  1. Run
    mrr_calculator.py --format json
    to get growth metrics for charts
  2. Run
    cohort_analyzer.py --format json
    for retention curves
  3. Run
    unit_economics.py --format json
    for unit economics summary
  4. Use JSON output to populate investor deck data points

Workflow 3: Churn Investigation

  1. Run
    mrr_calculator.py
    with
    --breakdown
    to see churn by plan tier
  2. Run
    cohort_analyzer.py
    to identify which cohorts churn fastest
  3. Cross-reference cohort drop-off periods with product changes
  4. Identify if churn is concentrated in specific segments or time windows

Reference Documentation

Key SaaS Metrics Definitions

  • MRR (Monthly Recurring Revenue): Sum of all active subscription revenue normalized to monthly
  • ARR (Annual Recurring Revenue): MRR x 12
  • Net New MRR: New MRR + Expansion MRR - Churned MRR - Contraction MRR
  • Gross Churn Rate: Lost MRR / Beginning MRR for the period
  • Net Revenue Retention (NRR): (Beginning MRR + Expansion - Churn - Contraction) / Beginning MRR
  • LTV (Lifetime Value): ARPU / Monthly Churn Rate (simplified) or ARPU x Gross Margin / Churn
  • CAC (Customer Acquisition Cost): Total Sales & Marketing Spend / New Customers Acquired
  • LTV:CAC Ratio: Target 3:1 or higher for healthy SaaS
  • CAC Payback Period: CAC / (ARPU x Gross Margin) in months

See

references/saas-metrics-guide.md
for comprehensive framework details.

Common Patterns

Pattern: Subscription CSV Format

customer_id,plan,mrr,start_date,end_date,status
C001,pro,99.00,2025-01-15,,active
C002,basic,29.00,2025-02-01,2025-08-15,churned
C003,enterprise,499.00,2025-03-10,,active

Pattern: User Activity CSV Format

user_id,signup_date,last_active_date,activity_month
U001,2025-01-05,2025-06-15,2025-06
U002,2025-01-12,2025-03-20,2025-03

Pattern: Unit Economics JSON Format

{
  "period": "2025-Q4",
  "total_customers": 1200,
  "new_customers": 150,
  "churned_customers": 45,
  "total_mrr": 89500.00,
  "arpu": 74.58,
  "gross_margin": 0.82,
  "sales_marketing_spend": 45000.00,
  "monthly_churn_rate": 0.0375
}

Healthy SaaS Benchmarks

MetricConcerningAcceptableStrong
Monthly Churn> 5%2-5%< 2%
Net Revenue Retention< 90%90-110%> 120%
LTV:CAC< 1:11:1-3:1> 3:1
CAC Payback> 24 mo12-18 mo< 12 mo
Gross Margin< 60%60-75%> 75%