--- name: unit-economics description: "A specialized skill providing a Unit Economics analysis framework. Used by the revenue-modeler agent when designing revenue models and calculating LTV, CAC, and contribution margin. Automatically applied in contexts such as 'unit economics', 'LTV/CAC', 'contribution margin', 'cohort analysis', 'payback period'. However, direct CRM data extraction and real-time customer analytics are outside the scope of this skill." --- # Unit Economics — Unit Economics Analysis Framework A specialized skill that enhances the revenue model design capabilities of the revenue-modeler agent. ## Target Agent - **revenue-modeler** — Revenue stream definition, unit economics, LTV/CAC analysis ## Core Unit Economics Metrics ### LTV (Customer Lifetime Value) **Basic Formula:** ``` LTV = ARPA x Gross Margin / Monthly Churn Rate ``` **Cohort-Based LTV (More Accurate):** ``` LTV = Sum(t=1→inf) [ARPA_t x GM x Retention_t / (1+d)^t] ARPA_t = Average revenue per account at month t (reflecting expansion/contraction) GM = Gross Margin Retention_t = Retention rate at month t d = Monthly discount rate ``` **LTV Calculation Variants by Business Model:** | Model | LTV Formula | Key Variables | |-------|-------------|---------------| | SaaS Subscription | ARPA x GM / Churn | Churn rate, NRR | | E-commerce | AOV x Annual Orders x GM x Customer Lifespan | Repeat rate, AOV | | Marketplace | GMV x Take Rate x GM x Customer Lifespan | GMV, Take Rate | | Gaming | ARPPU x Conversion Rate x GM / Churn | ARPPU, Conversion Rate | ### CAC (Customer Acquisition Cost) ``` CAC = (Marketing Cost + Sales Cost) / New Customers Blended CAC = Total S&M / Total New Customers Paid CAC = Paid Channel Cost / Paid Channel New Customers Organic CAC = Overhead Allocation / Organic New Customers ``` ### CAC Payback Period ``` CAC Payback (months) = CAC / (ARPA x Gross Margin) ``` | Rating | Benchmark | |--------|-----------| | Excellent | < 12 months | | Good | 12-18 months | | Caution | 18-24 months | | At Risk | > 24 months | ### LTV/CAC Ratio ``` LTV/CAC = LTV / CAC ``` | Ratio | Interpretation | |-------|---------------| | < 1x | Losing money on each customer acquired — immediate improvement needed | | 1-3x | Not sustainable — reduce CAC or improve LTV | | 3-5x | Healthy — can invest in growth | | > 5x | Potentially under-investing — can grow more aggressively | ## Contribution Margin Analysis ### 3-Layer Margin Structure ``` Revenue 100% (-) Variable Costs (COGS, shipping, transaction fees) = Contribution Margin 1 (CM1) — Per-transaction profitability (-) Variable Marketing (performance marketing) = Contribution Margin 2 (CM2) — Profitability including marketing efficiency (-) Fixed Cost Allocation (labor, infrastructure, other) = Contribution Margin 3 (CM3) — Business unit profitability ``` ### CM Analysis by Product/Channel/Segment | Analysis Dimension | Purpose | Action | |-------------------|---------|--------| | Per-Product CM | Which products contribute to profit? | Price adjust/discontinue low-margin products | | Per-Channel CM | Which channels are efficient? | Reallocate budget to high-efficiency channels | | Per-Customer Segment CM | Which customers are valuable? | Focus on high-value segments | ## Cohort Analysis Framework ### Revenue Cohort Table ```markdown | Sign-up Month | M0 | M1 | M2 | M3 | M6 | M12 | |--------------|-----|-----|-----|-----|-----|------| | 2024-01 | 100% | 85% | 78% | 73% | 62% | 48% | | 2024-04 | 100% | 88% | 82% | 77% | 68% | - | | 2024-07 | 100% | 90% | 85% | 80% | - | - | ``` ### Analysis Points 1. **Retention Pattern Over Time**: Identify stabilization point 2. **Cross-Cohort Comparison**: Are newer cohorts improving? 3. **NDR/NRR Decomposition**: Track expansion vs. contraction vs. churn separately 4. **LTV Convergence Estimation**: Estimate actual LTV from cohort data ## Bottom-Up Revenue Estimation ### Step-by-Step Estimation Formula ``` Revenue = Target Market Size (SAM) x Reachable Ratio x Conversion Rate x Average Order Value x Repeat Purchase Frequency ``` | Step | Estimation Method | Validation | |------|------------------|------------| | TAM | Industry reports + government statistics | Cross-check multiple sources | | SAM | TAM x Accessible segment ratio | Clearly define actual target | | SOM | SAM x Realistic share | Reference similar companies' initial share | ## Unit Economics Health Scorecard | Metric | At Risk | Caution | Good | Excellent | |--------|---------|---------|------|-----------| | LTV/CAC | <1x | 1-3x | 3-5x | >5x | | CAC Payback | >24M | 18-24M | 12-18M | <12M | | Gross Margin | <40% | 40-60% | 60-75% | >75% | | NDR | <90% | 90-100% | 100-115% | >115% | | CM2 | Negative | 0-10% | 10-20% | >20% | The revenue-modeler uses this scorecard to self-diagnose model health.