Evaluate pricing changes using ARPU, conversion, churn risk, NRR, and payback. Use when deciding whether a pricing move should ship.
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:
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