unit-economics
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npx mdskill add anthropics/financial-services/unit-economicsCalculate ARR, LTV, and CAC for SaaS revenue health.
- Evaluate ARR cohorts, net retention, and margin waterfalls.
- Depends on financial databases and CRM revenue records.
- Selects metrics based on business model type.
- Outputs clear dashboards with cohort and ratio charts.
SKILL.md
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--- name: unit-economics description: Analyze unit economics for PE targets — ARR cohorts, LTV/CAC, net retention, payback periods, revenue quality, and margin waterfall. Essential for software/SaaS, recurring revenue, and subscription businesses. Use when evaluating revenue quality, building a cohort analysis, or assessing customer economics. Triggers on "unit economics", "cohort analysis", "ARR analysis", "LTV CAC", "net retention", "revenue quality", or "customer economics". --- # Unit Economics Analysis ## Workflow ### Step 1: Identify Business Model Determine the revenue model to tailor the analysis: - **SaaS / Subscription**: ARR, net retention, cohorts - **Recurring services**: Contract value, renewal rates, upsell - **Transaction / usage-based**: Revenue per transaction, volume trends, take rate - **Hybrid**: Break down by revenue stream ### Step 2: Core Metrics #### ARR / Revenue Quality - **ARR bridge**: Beginning ARR → New → Expansion → Contraction → Churn → Ending ARR - **ARR by cohort**: Vintage analysis — how does each annual cohort retain and grow? - **Revenue concentration**: Top 10/20/50 customers as % of total - **Revenue by type**: Recurring vs. non-recurring vs. professional services - **Contract structure**: ACV distribution, multi-year %, auto-renewal % #### Customer Economics - **CAC (Customer Acquisition Cost)**: Total S&M spend / new customers acquired - **LTV (Lifetime Value)**: (ARPU × Gross Margin) / Churn Rate - **LTV:CAC ratio**: Target >3x for healthy businesses - **CAC payback period**: Months to recover acquisition cost - **Blended vs. segmented**: Break down by customer segment (enterprise vs. SMB vs. mid-market) #### Retention & Expansion - **Gross retention**: % of beginning ARR retained (excludes expansion) - **Net retention (NDR)**: % of beginning ARR retained including expansion - **Logo churn**: % of customers lost - **Dollar churn**: % of revenue lost (often different from logo churn) - **Expansion rate**: Upsell + cross-sell as % of beginning ARR #### Cohort Analysis Build a cohort matrix showing: | Cohort | Year 0 | Year 1 | Year 2 | Year 3 | Year 4 | |--------|--------|--------|--------|--------|--------| | 2020 | $1.0M | $1.1M | $1.2M | $1.1M | | | 2021 | $1.5M | $1.7M | $1.8M | | | | 2022 | $2.0M | $2.3M | | | | | 2023 | $3.0M | | | | | Show both absolute $ and indexed (Year 0 = 100%) views. #### Margin Waterfall - Revenue → Gross Profit → Contribution Margin → EBITDA - Fully loaded unit economics: what does it cost to acquire, serve, and retain a customer? - Gross margin by revenue stream (subscription vs. services vs. other) ### Step 3: Benchmarking Compare unit economics to relevant benchmarks: - **SaaS Rule of 40**: Growth rate + EBITDA margin > 40% - **SaaS Magic Number**: Net new ARR / prior period S&M spend > 0.75x - **NDR benchmarks**: Best-in-class >120%, good >110%, concerning <100% - **LTV:CAC**: Best-in-class >5x, good >3x, concerning <2x - **Gross retention**: Best-in-class >95%, good >90%, concerning <85% - **CAC payback**: Best-in-class <12mo, good <18mo, concerning >24mo ### Step 4: Revenue Quality Score Synthesize into a revenue quality assessment: | Factor | Score (1-5) | Notes | |--------|-------------|-------| | Recurring % | | | | Net retention | | | | Customer concentration | | | | Cohort stability | | | | Growth durability | | | | Margin profile | | | | **Overall** | | | ### Step 5: Output - Excel workbook with ARR bridge, cohort matrix, unit economics dashboard - Summary slide with key metrics and benchmarks - Red flags and areas for further diligence ## Important Notes - Always ask for raw customer-level data if available — aggregate metrics can hide problems - NDR above 100% can mask high gross churn if expansion is strong enough — always show both - Cohort analysis is the single most important view for revenue quality — push for this data - Differentiate between contracted ARR and actual recognized revenue - For usage-based models, focus on consumption trends and expansion patterns rather than traditional ARR metrics - Professional services revenue should be evaluated separately — it's not recurring and margins are typically lower
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