Startup Financial Model with 3 Growth Scenarios
Build a complete financial model for startups with projections across 3 scenarios (pessimistic, realistic, optimistic) and sensitivity analysis for investment decisions.
Create a robust and flexible financial model that projects revenue, costs, unit economics, and cash needs across different growth scenarios, serving as both a management tool and investor presentation.
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Prompt objective
Create a robust and flexible financial model that projects revenue, costs, unit economics, and cash needs across different growth scenarios, serving as both a management tool and investor presentation.
Real use case
FlowCode, a legal workflow automation startup, has $7,600 MRR and is building its financial model for a $1M Series A. The CEO, who comes from a technical background, has never built a financial model and needs to present credible projections to a VC firm in 3 weeks.
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Replace the placeholders with your own context before you run the prompt. That usually improves the first output more than adding more instructions later.
Prompt
Build a complete financial model for [STARTUP NAME], a [SaaS/MARKETPLACE/D2C/TRANSACTIONAL] startup in the [INDUSTRY] sector.\\\\\\\\n\\\\\\\\n**Current data (base month):**\\\\\\\\n- MRR: $[AMOUNT]\\\\\\\\n- Paying customers: [NUMBER]\\\\\\\\n- ARPU (average revenue per user): $[AMOUNT]/month\\\\\\\\n- Monthly churn: [PERCENTAGE]%\\\\\\\\n- Average CAC: $[AMOUNT]\\\\\\\\n- Estimated LTV: $[AMOUNT]\\\\\\\\n- Gross margin: [PERCENTAGE]%\\\\\\\\n- Burn rate: $[AMOUNT]/month\\\\\\\\n- Current runway: [MONTHS] months\\\\\\\\n- Headcount: [NUMBER] people\\\\\\\\n- Target raise: $[AMOUNT]\\\\\\\\n\\\\\\\\n**3 SCENARIO ASSUMPTIONS:**\\\\\\\\n\\\\\\\\n*Pessimistic scenario (downside protection):*\\\\\\\\n- Month-over-month MRR growth: [X]% (below historical)\\\\\\\\n- Churn: [X]% (higher than current)\\\\\\\\n- CAC: increases by [X]% (more competitive market)\\\\\\\\n- Gross margin: maintains at [X]%\\\\\\\\n- Hypothesis: organic growth only, no new paid customer acquisition\\\\\\\\n- Trigger: market slowdown, competitor enters with funding\\\\\\\\n\\\\\\\\n*Realistic scenario (base case):*\\\\\\\\n- Month-over-month MRR growth: [X]% (current trajectory)\\\\\\\\n- Churn: [X]% (maintain or slight improvement)\\\\\\\\n- CAC: stable with channel scalability\\\\\\\\n- Hypothesis: continue current strategy + small efficiency gains\\\\\\\\n- This is the scenario for budget planning\\\\\\\\n\\\\\\\\n*Optimistic scenario (upside):*\\\\\\\\n- Month-over-month MRR growth: [X]% (with funding and channel scale)\\\\\\\\n- Churn: decreases to [X]% (improved product)\\\\\\\\n- CAC: decreases by [X]% (lower-cost channels scale)\\\\\\\\n- Hypothesis: funding confirmed + flawless go-to-market execution\\\\\\\\n- Trigger: product-market fit confirmed + distribution channel discovered\\\\\\\\n\\\\\\\\n**MONTH-BY-MONTH MODEL (12 MONTHS) — FOR EACH SCENARIO:**\\\\\\\\n\\\\\\\\n*Block 1 — Revenue:*\\\\\\\\n| Month | Customers start | New customers | Churned | Customers end | MRR start | Expansion | Churn $ | MRR end | ARR |\\\\\\\\n|-------|----------------|--------------|---------|---------------|-----------|-----------|---------|---------|-----|\\\\\\\\n| Jan | | | | | | | | | |\\\\\\\\n| ... (fill 12 months with formulas) |\\\\\\\\n\\\\\\\\n*Block 2 — Monthly Costs:*\\\\\\\\n\\\\\\\\n**COGS (Cost of Goods/Services Sold):**\\\\\\\\n| Category | Month 1 | Month 6 | Month 12 | Type |\\\\\\\\n|----------|---------|---------|---------|------|\\\\\\\\n| Cloud infrastructure (AWS/GCP/Azure) | $[X] | | | Variable |\\\\\\\\n| Customer success/Support salaries | $[X] | | | Fixed |\\\\\\\\n| Third-party payments/APIs | $[X] | | | Variable |\\\\\\\\n| [OTHER BUSINESS-SPECIFIC ITEMS] | | | | |\\\\\\\\n| **Total COGS** | | | | |\\\\\\\\n| **Gross Profit** | | | | |\\\\\\\\n| **Gross Margin %** | | | | |\\\\\\\\n\\\\\\\\n**OPEX:**\\\\\\\\n| Category | Month 1 | Month 6 | Month 12 | Growth Driver |\\\\\\\\n|----------|---------|---------|---------|---------------|\\\\\\\\n| **Sales & Marketing** | | | | |\\\\\\\\n| Sales team salaries | $[X] | | | [Planned hires] |\\\\\\\\n| Paid advertising | $[X] | | | [% of revenue or fixed] |\\\\\\\\n| Events and marketing | $[X] | | | |\\\\\\\\n| **R&D/Product** | | | | |\\\\\\\\n| Engineering salaries | $[X] | | | |\\\\\\\\n| Dev tools | $[X] | | | |\\\\\\\\n| **G&A (Admin)** | | | | |\\\\\\\\n| CEO/COO/CFO (draw) | $[X] | | | |\\\\\\\\n| Legal and accounting | $[X] | | | |\\\\\\\\n| Office/coworking | $[X] | | | |\\\\\\\\n| Insurance and other | $[X] | | | |\\\\\\\\n| **Total OPEX** | | | | |\\\\\\\\n| **EBITDA** | | | | |\\\\\\\\n| **EBITDA Margin %** | | | | |\\\\\\\\n\\\\\\\\n*Block 3 — Unit Economics:*\\\\\\\\n| Month | CAC | LTV | LTV/CAC | Payback (months) | NRR (Net Revenue Retention) |\\\\\\\\n|-------|-----|-----|---------|-----------------|----------------------------|\\\\\\\\n\\\\\\\\n*Block 4 — Cash:*\\\\\\\\n| Month | Starting balance | Cash in (cash revenue) | Cash out (total costs) | Ending balance | Runway (months) |\\\\\\\\n|-------|-----------------|------------------------|----------------------|---------------|----------------|\\\\\\\\n\\\\\\\\n**COMPARATIVE ANALYSIS OF 3 SCENARIOS (Month 12):**\\\\\\\\n\\\\\\\\n| Metric | Pessimistic | Realistic | Optimistic |\\\\\\\\n|--------|------------|----------|----------|\\\\\\\\n| MRR | $[X] | $[X] | $[X] |\\\\\\\\n| ARR | $[X] | $[X] | $[X] |\\\\\\\\n| Customers | [X] | [X] | [X] |\\\\\\\\n| Gross Margin | [X]% | [X]% | [X]% |\\\\\\\\n| EBITDA | $[X] | $[X] | $[X] |\\\\\\\\n| Cumulative burn | $[X] | $[X] | $[X] |\\\\\\\\n| Runway (with funding) | [X] months | [X] months | [X] months |\\\\\\\\n| Break-even (EBITDA zero) | [MONTH] | [MONTH] | [MONTH] |\\\\\\\\n\\\\\\\\n**SENSITIVITY ANALYSIS:**\\\\\\\\n\\\\\\\\nImpact of changes in key assumptions:\\\\\\\\n\\\\\\\\n| Variable | Base | +1 p.p. churn | -10% CAC | +2 p.p. growth/month |\\\\\\\\n|----------|------|--------------|----------|--------------------|\\\\\\\\n| MRR month 12 | $[X] | $[X] (-[X]%) | $[X] (+[X]%) | $[X] (+[X]%) |\\\\\\\\n| Runway | [X] months | [X] months | [X] months | [X] months |\\\\\\\\n\\\\\\\\n**USE OF RAISED CAPITAL ($[AMOUNT]):**\\\\\\\\n\\\\\\\\n| Area | Allocation | Amount | Expected Milestone |\\\\\\\\n|------|-----------|--------|-------------------|\\\\\\\\n| Product/Engineering | [X]% | $[X] | [MILESTONE BY DEADLINE] |\\\\\\\\n| Sales & Marketing | [X]% | $[X] | [MILESTONE] |\\\\\\\\n| G&A / Structure | [X]% | $[X] | [MILESTONE] |\\\\\\\\n| Reserve | [X]% | $[X] | Contingency buffer |\\\\\\\\n\\\\\\\\n**MILESTONES TIED TO FUNDING:**\\\\\\\\n- Month [X]: MRR of $[AMOUNT] → opens path to Series [NEXT ROUND]\\\\\\\\n- Month [X]: [X] paying customers → proof of channel scalability\\\\\\\\n- Month [X]: Gross margin of [X]% → proof of product efficiency\\\\\\\\n\\\\\\\\n**EXPLICIT ASSUMPTIONS AND RISKS:**\\\\\\\\n- Most optimistic assumption: [DESCRIBE] — risk: [HOW TO MITIGATE]\\\\\\\\n- Most critical assumption: [DESCRIBE] — risk: [HOW TO MITIGATE]\\\\\\\\n- What would make this model invalid: [DESCRIBE]\\\\\\\\n\\\\\\\\nOutput format: tables ready for Google Sheets + 1-page executive summary for the pitch deck.
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