finance-based-pricing-advisor
Evaluate financial impact of pricing changes using ARPU, conversion, churn, and payback analysis.
- Quantifies revenue lift, conversion risk, churn impact, and CAC payback for price increases, new tiers, add-ons, usage-based pricing, discounts, and packaging changes
- Models three scenarios (conservative, base, optimistic) and identifies go/no-go decisions with supporting math
- Recommends implementation, A/B testing, modified approaches, or holding pricing based on net revenue impact and risk tolerance
- Assumes you have a specific pricing change in mind; not a strategy design tool for building pricing from scratch or conducting willingness-to-pay research
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.
Key Concepts
The Pricing Impact Framework
A systematic approach to evaluate pricing changes financially:
- Revenue Impact — How does this change ARPU/ARPA?
- Direct revenue lift from price increase
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