Agent skill · business finance · deanpeters
finance-based-pricing-advisor
Evaluate pricing changes using ARPU, conversion, churn risk, NRR, and payback. Use when deciding whether a pricing move should ship.
Why this skill is useful
Provides a structured framework for evaluating the financial impact of pricing changes that the AI wouldn't reliably generate on its own.
What it needs
About 12k tokens when loaded. Last updated 2026-07-17. 6,302 stars on the source repository.
What this skill does
Purpose Evaluate the financial impact of pricing changes (price increases, new tiers, add-ons, discounts) using ARPU/ARPA analysis, conversion impact, churn risk, NRR effects, and CAC payback implications. Use this to make data-driven go/no-go decisions on proposed pricing changes with supporting math and risk assessment. What this is: Financial impact evaluation for pricing decisions you're already considering. What this is NOT: Comprehensive pricing strategy design, value-based pricing frameworks, willingness-to-pay research, competitive positioning, psychological pricing, packaging architecture, or monetization model selection. For those topics, see the future pricing-strategy-suite skills. This skill assumes you have a specific pricing change in mind and need to evaluate its financial viability. Input Works best with: The pricing change on the table — increase, new tier, add-on, or discount — and current pricing. Also useful: Current ARPU/ARPA, conversion and churn baselines, NRR, and who's pushing for the change. Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask. Arriving empty-handed? That works too. The advisor opens by asking what change is proposed and what today's pricing looks like. Example invocation: Evaluate raising our Pro plan from $49 to $59/seat; ARPU $52, monthly logo churn 1.8%, NRR 108%. Key Concepts The Pricing Impact Framework A systematic approach to evaluate pricing changes financially: 1. Revenue Impact — How does this change ARPU/ARPA? Direct revenue lift from price increase Revenue loss from reduced conversion or increased churn Net revenue impact 2. Conversion Impact — How does this affect trial-to-paid or sales conversion? Higher prices may reduce conversion rate Better packaging may improve conversion Test assumptions 3. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills deanpeters/finance-based-pricing-advisor