openclaw/1kalin/afrexai-unit-economics

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 — $47 per industry. SaaS, Fintech, Healthcare, E-commerce, and 6 more.

→ AI Revenue Leak Calculator — Free. Find where your business is losing money.

→ Agent Setup Wizard — 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)