Skill: 1kalin/afrexai-unit-economics (version 1.0.0)

# Unit Economics Analyzer Break down your business to the numbers that actually matter. This skill calculates and benchmarks your unit economics — CAC, LTV, payback period, contribution margin — so you know exactly which customers make you money and which ones burn it. ## What It Does When activated, the agent will: 1. **Calculate Core Metrics** - Customer Acquisition Cost (CAC) — fully loaded (ads + sales salaries + tools + overhead) - Lifetime Value (LTV) — using both simple and DCF methods - LTV:CAC Ratio — the single number investors care about most - CAC Payback Period — months to recover acquisition spend - Contribution Margin — per unit and per customer 2. **Benchmark Against Industry** | Metric | Healthy SaaS | Marketplace | E-commerce | Services | |--------|-------------|-------------|------------|----------| | LTV:CAC | 3:1 – 5:1 | 2:1 – 4:1 | 1.5:1 – 3:1 | 4:1 – 8:1 | | CAC Payback | 12-18 mo | 6-12 mo | 1-3 mo | 3-6 mo | | Gross Margin | 70-85% | 40-65% | 30-50% | 50-70% | | Net Revenue Retention | 110-130% | 100-115% | 80-100% | 90-110% | 3. **Segment Analysis** - Break unit economics by customer segment, channel, plan tier, geography - Identify which segments are profitable and which are subsidized - Flag "toxic" segments where CAC > LTV 4. **Cohort Decay Modeling** - Month-over-month retention curves by acquisition cohort - Revenue decay rate and true LTV (not the optimistic version) - Churn-adjusted LTV using: `LTV = ARPU × Gross Margin / Monthly Churn Rate` 5. **Scenario Planning** - What happens to payback if CAC increases 20%? - Impact of 5% churn reduction on LTV - Break-even analysis: minimum retention rate for profitability - Pricing sensitivity: how price changes flow through to unit economics ## How to Use Tell the agent: - "Analyze my unit economics" — walks through full calculation - "My CAC is $X and monthly churn is Y%" — gets specific benchmarks - "Compare my SaaS unit economics to benchmarks" — industry comparison - "Model what happens if we cut churn by 3%" — scenario analysis - "Break down unit economics by customer segment" — segmentation ## Required Inputs Provide what you have (the agent will estimate what's missing): **Revenue side:** - Average Revenue Per User (ARPU) — monthly or annual - Gross margin percentage - Monthly or annual churn rate - Expansion revenue rate (upsells, cross-sells) **Cost side:** - Total sales & marketing spend (monthly/quarterly) - New customers acquired in same period - Customer success/support costs per account - Onboarding costs per customer ## Formulas Reference ``` CAC = Total Sales & Marketing Spend / New Customers Acquired LTV (Simple) = ARPU × Gross Margin% / Monthly Churn Rate LTV (DCF) = Σ (Monthly Revenue × Gross Margin%) / (1 + Discount Rate)^month LTV:CAC Ratio = LTV / CAC [Target: >3:1] Payback Period = CAC / (ARPU × Gross Margin%) [months] Contribution Margin = (Revenue - Variable Costs) / Revenue Magic Number = Net New ARR / Prior Quarter S&M Spend [Target: >0.75] Burn Multiple = Net Burn / Net New ARR [Target: <2x] ``` ## Red Flags Dashboard | Signal | Threshold | Action | |--------|-----------|--------| | LTV:CAC below 1:1 | Losing money on every customer | Stop acquiring, fix retention or pricing | | LTV:CAC below 3:1 | Unsustainable at scale | Reduce CAC or increase retention | | Payback > 24 months | Cash flow risk | Accelerate monetization or cut acquisition | | Gross margin < 50% | Service business, not software | Re-examine delivery costs | | Net retention < 100% | Revenue shrinking without new sales | Fix product-market fit | | CAC trending up > 15% QoQ | Channel saturation | Diversify acquisition channels | | Magic Number < 0.5 | Inefficient growth spend | Pause scaling, optimize | ## Output Format The agent produces: - **Executive Summary** — 3-line verdict on business health - **Metrics Table** — all calculated values with industry benchmarks - **Segment Breakdown** — if data provided, per-segment P&L - **Scenario Matrix** — sensitivity analysis on key variables - **Action Items** — prioritized list of improvements with expected impact --- ## Get the Full Context This skill gives you the framework. For industry-specific unit economics benchmarks, valuation context, and implementation playbooks: → **[AI Agent Context Packs](https://afrexai-cto.github.io/context-packs/)** — $47 per industry. SaaS, Fintech, Healthcare, E-commerce, and 6 more. → **[AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/)** — Free. Find where your business is losing money. → **[Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/)** — Free. Configure your AI agent in 5 minutes. **Bundles:** - Pick 3 Packs — $97 (save $44) - All 10 Packs — $197 (save $273) - Everything Bundle — $247 (all packs + playbook + setup)


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)