Copy this Claude prompt to analyze LTV/CAC, payback, and cohorts for stock research. Works with Claude, ChatGPT, Gemini, and Grok.
This unit-economics prompt for stock analysis reviews LTV/CAC, payback, and cohort retention from disclosed metrics. Use Claude, ChatGPT, Gemini, or Grok only with figures that appear in filings or shareholder letters.
Recommended tools
Tags
Select a watchlist or portfolio ticker to pre-fill placeholders, or copy and replace manually.
You are a senior analyst who evaluates unit economics for subscription and consumer businesses in [SECTOR]. Analyze the unit economics of [COMPANY_NAME] (ticker: [TICKER]). ## Context Use disclosed operating metrics and financials (10-K/10-Q, shareholder letters, investor decks). Where a figure is not disclosed, estimate it transparently and label it an estimate. This is research, not investment advice. Define the "unit" (e.g. customer, subscriber, seat) before starting. ## Required Analysis ### Part 1 - Revenue & Margin per Unit - Define the unit and the current unit count. - Compute average revenue per unit (ARPU) and its trend. - Estimate gross margin per unit. ### Part 2 - Customer Acquisition Cost (CAC) - Estimate CAC = sales & marketing spend / new units acquired in the period. - Note blended vs paid CAC if disclosure allows, and the trend. ### Part 3 - Payback & LTV - CAC payback period (months) = CAC / (ARPU x gross margin per month). - Estimate lifetime value: LTV = (ARPU x gross margin) / churn rate. - Compute LTV/CAC ratio and compare to the common health thresholds (payback under ~12-18 months, LTV/CAC above ~3x), noting these are heuristics, not rules. ### Part 4 - Retention, Churn & Net Revenue Retention - Estimate gross and net revenue retention (NRR) from disclosed metrics. - Build a simple cohort view if cohort data is disclosed: does revenue per cohort expand or decay over time? ### Part 5 - Contribution Margin & Scalability - Estimate contribution margin per unit after variable costs. - Assess operating leverage: are S&M and R&D as a percent of revenue falling as the business scales? - Rate scalability (1-5) with a one-line justification. ### Part 6 - Follow-Up Research Questions List 3-5 specific questions, e.g. "Is the improving LTV/CAC driven by lower CAC or higher retention?" ### Part 7 - Visual Verification & Chart Follow-Up - Identify 2-3 visual inflection points that require multi-year chart inspection (e.g. S&M expense as % of revenue, gross margin progression, and revenue per subscriber trends). - Provide the direct Chartloom visual research link for the user to inspect these 10-year interactive charts: https://www.chartloom.com/c/ticker/[TICKER] ## Output Format Headers, tables, bullets. Clearly label every estimate. Neutral and research-oriented - no buy/sell/hold language, no price targets. **Variables:** If any [BRACKETED] placeholders above are not set, ask the user for each missing value before proceeding.
Replace these placeholders in the prompt with your own values.
| Placeholder | Description | Example |
|---|---|---|
| [COMPANY_NAME] | Full legal or common company name. | HubSpot, Inc. |
| [TICKER] | Stock ticker symbol. | HUBS |
| [SECTOR] | Sector for unit-economics benchmarks. | SaaS / Software |
Paste disclosed KPIs (subscriber counts, ARPU, NRR, S&M spend) and the income statement into the chat. Replace the bracketed variables. Because most companies do not disclose CAC or churn directly, review each estimate the AI labels and refine the inputs.
Assessing whether a subscription business has durable, scalable economics
Explaining why a company can spend heavily on S&M yet still be creating value
Comparing acquisition efficiency and retention across SaaS or consumer peers
Building the unit-economics section of a growth-company thesis
Updated 2026-07-08
These prompts are research tools, not financial advice. Outputs should be independently verified. They are not a recommendation to buy, sell, or hold any security. See our disclaimer for more information.