What it is
This skill helps you decide if a proposed pricing change—like raising prices, adding a premium tier, or offering discounts—will actually improve your business. It walks you through estimating revenue impact, churn risk, conversion changes, and payback implications so you can make a data-driven go/no-go call on your pricing move.
What it does
- Estimates revenue impact from price increases, new tiers, add-ons, or discounts using your current ARPU and customer data
- Assesses churn risk by segment and helps you decide whether to grandfather existing customers
- Calculates conversion impact and shows how pricing changes affect trial-to-paid rates or sales close rates
- Evaluates CAC payback and LTV:CAC ratio changes to ensure pricing improves unit economics
- Provides a go/no-go recommendation with supporting math and risk assessment
Use it when
- You're considering raising prices and need to know if the revenue lift outweighs potential churn
- You're launching a new premium tier or paid add-on and want to estimate adoption and cannibalization risk
- You need to present a pricing change proposal to leadership or your board with financial projections
- You're deciding between pricing options (annual discount vs. monthly, new tier vs. price increase) and need to compare trade-offs
Add this skill to your AI
Copy the source URL and ask your AI to add it. Most coding agents — Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Windsurf — will fetch and install it for you.
Try this prompt:
Add this skill to my project: https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/finance-based-pricing-advisor