Use it when you want to begin financial analysis work without writing the first draft from scratch.
Unit Economics Analysis AI Prompt
Analyze the unit economics of this business and assess its scalability. Business model: {{business_model}} Data: {{unit_economics_data}} 1. Customer Acquisition Cost (CAC): CAC... Copy this prompt template, run it in your AI tool, and use related prompts to continue the workflow.
Analyze the unit economics of this business and assess its scalability.
Business model: {{business_model}}
Data: {{unit_economics_data}}
1. Customer Acquisition Cost (CAC):
CAC = Total Sales and Marketing Spend / New Customers Acquired
- Blended CAC: all channels combined
- By-channel CAC: paid acquisition, organic, referral, outbound
- CAC payback period: CAC / Monthly Gross Profit per Customer
Target: < 12 months for SaaS, < 6 months for e-commerce
2. Customer Lifetime Value (LTV):
LTV = Average Revenue per Customer / Churn Rate (for SaaS)
Or: LTV = Average Order Value x Purchase Frequency x Gross Margin / Churn Rate
- Gross margin LTV: multiply by gross margin to get profit-basis LTV
- LTV should account for the expected customer tenure, not assume infinite life
3. LTV / CAC ratio:
- LTV / CAC > 3: business is generating healthy returns on acquisition spend
- LTV / CAC < 1: acquiring customers at a loss (sustainable only during investment phase)
- Trend: is LTV/CAC improving or deteriorating as the business scales?
4. Cohort economics:
- By acquisition cohort: cumulative gross profit per customer over time
- CAC recovery curve: at what month does the cohort recover its acquisition cost?
- Cohort comparison: are newer cohorts recovering CAC faster or slower?
5. Contribution margin per unit/customer:
Revenue - Variable COGS - Variable Sales and Marketing = Contribution Margin
- At what volume does the business reach contribution margin breakeven per unit?
6. Scalability assessment:
- Does CAC increase as the business scales? (Channel saturation)
- Does LTV increase as the business scales? (Network effects, pricing power)
- What is the implied steady-state margin when the business reaches maturity?
Return: CAC and LTV calculations, LTV/CAC ratio, cohort recovery curves, contribution margin analysis, and scalability assessment.When to use this prompt
Use it when you want a more consistent structure for AI output across projects or datasets.
Use it when you want prompt-driven work to turn into a reusable notebook or repeatable workflow later.
Use it when you want a clear next step into adjacent prompts in Financial Analysis or the wider Financial Analyst library.
What the AI should return
The AI should return a structured result that covers the main requested outputs, such as Customer Acquisition Cost (CAC):, Blended CAC: all channels combined, By-channel CAC: paid acquisition, organic, referral, outbound. The final answer should stay clear, actionable, and easy to review inside a financial analysis workflow for financial analyst work.
How to use this prompt
Open your data context
Load your dataset, notebook, or working environment so the AI can operate on the actual project context.
Copy the prompt text
Use the copy button above and paste the prompt into the AI assistant or prompt input area.
Review the output critically
Check whether the result matches your data, assumptions, and desired format before moving on.
Chain into the next prompt
Once you have the first result, continue deeper with related prompts in Financial Analysis.
Frequently asked questions
What does the Unit Economics Analysis prompt do?+
It gives you a structured financial analysis starting point for financial analyst work and helps you move faster without starting from a blank page.
Who is this prompt for?+
It is designed for financial analyst workflows and marked as advanced, so it works well as a guided starting point for that level of experience.
What type of prompt is this?+
Unit Economics Analysis is a single prompt. You can copy it as-is, adapt it, or use it as one step inside a larger workflow.
Can I use this outside MLJAR Studio?+
Yes. The prompt text works in other AI tools too, but MLJAR Studio is the best fit when you want local execution, visible Python code, and reusable notebooks.
What should I open next?+
Natural next steps from here are Cash Flow Analysis, Financial Ratio Analysis, Working Capital Analysis.