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
2. Customer Acquisition Cost (CAC) — fully loaded (ads + sales salaries + tools + overhead)
3. Lifetime Value (LTV) — using both simple and DCF methods
4. LTV:CAC Ratio — the single number investors care about most
5. CAC Payback Period — months to recover acquisition spend

6. Contribution Margin — per unit and per customer

7. 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% |

8. Segment Analysis

9. Break unit economics by customer segment, channel, plan tier, geography
10. Identify which segments are profitable and which are subsidized

11. Flag "toxic" segments where CAC > LTV

12. Cohort Decay Modeling

13. Month-over-month retention curves by acquisition cohort
14. Revenue decay rate and true LTV (not the optimistic version)

15. Churn-adjusted LTV using: LTV = ARPU × Gross Margin / Monthly Churn Rate

16. Scenario Planning

17. What happens to payback if CAC increases 20%?
18. Impact of 5% churn reduction on LTV
19. Break-even analysis: minimum retention rate for profitability
20. 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

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)