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Unit Economics And Pricing Analyser

GPTClaudeGemini··332 copies·updated 2026-07-14
unit-economics-and-pricing-analyser.prompt
# Unit Economics and Pricing Analyser

**Domain:** Financial Planning and Modelling
**Level:** 🔵 Practitioner

> Calculate and stress-test CAC, LTV, gross margin, payback period, and break-even with sensitivity analysis. Produces the unit economics a Series A investor will scrutinise on the first call.

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## Variables

Fill in every `[BRACKETED_VARIABLE]` before running. Do not leave any bracket unfilled.

| Variable | What to Enter | Example |
|----------|---------------|---------|
| `[REVENUE_MODEL]` | How you charge and at what price | e.g. £18,000 ACV SaaS, billed annually upfront, with £5,000 one-time implementation fee |
| `[COST_TO_SERVE]` | Variable costs directly associated with delivering the product to one customer | e.g. AWS hosting £800/year per customer, customer success 0.5 FTE per 20 customers at £60k/year salary, implementation 3 days of engineering at £600/day |
| `[SALES_AND_MARKETING_SPEND]` | Monthly spend on acquiring customers | e.g. £8,000/month on sales (0.5 FTE sales rep), £2,000/month on LinkedIn ads and events |
| `[CURRENT_OR_EXPECTED_CONVERSION]` | Conversion rates through your sales funnel | e.g. 100 leads/month, 20% to demo, 25% of demos to pilot, 30% of pilots to paying customer |
| `[AVERAGE_CUSTOMER_LIFETIME]` | How long customers typically stay | e.g. estimated 3 years based on 85% annual retention target |

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## The Prompt

Copy everything in the code block below. Replace all `[VARIABLES]`. Paste into Claude, GPT-4o, Gemini, or any capable LLM.

when to use it

Community prompt sourced from the open-source GitHub repo KunalCyber/ultimate-prompt-library-for-founders (MIT). A "Unit Economics And Pricing Analyser" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

businesscommunitygeneral

source

KunalCyber/ultimate-prompt-library-for-founders · MIT