Customer: 
Pricing: 
Costs: 

Model your unit economics:

1. Revenue per customer (ARR/MRR)
   - List price, discounts, actual ASP
   - Usage-based uplift, expansion revenue
   - Net ASP (what you actually get)

2. Cost per customer
   - CAC (customer acquisition cost)
   - Payback period = CAC / Monthly MRR (should be <12 months)
   - COGS per customer (should be <30% of revenue)
   - LTV = (ARPU × Gross Margin) / Churn Rate

3. The magic ratio
   - LTV : CAC ratio should be 3:1 or better
   - If < 3:1: business doesn't work
   - If 5:1+: incredible (scale harder)

4. Profitability analysis
   - Contribution margin = Revenue - Variable Costs (should be 60-80%)
   - Payback period (ideal: 9-12 months)
   - Break-even point

5. Scenarios
   - Base case, upside, downside
   - How much headroom do you have?

6. Sensitivity analysis
   - If pricing drops 10%, impact?
   - If churn rises 1%, impact?
   - If CAC rises 20%, impact?
   - Which variable matters most?

7. Improvement levers
   - Raise prices, lower churn, increase ARPU, lower CAC
   - Which is most achievable?

Examples

Input

{
  "customer": "Series B startups, 5-20 person teams",
  "pricing": "$3,000/month, $30,000/year (annual gets 2 months free)",
  "costs": "CAC ~$4,000 (sales-driven), 20% churn MoM, $0.50/mo infrastructure per customer"
}

Output

Complete unit economics model with LTV, CAC, payback period, contribution margin, LTV:CAC ratio, scenarios, sensitivity analysis, and improvement levers.

Sources

https://www.saastr.com/metrics/

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