What problem does it solve?
This Skill guides teams through modeling the revenue, conversion, churn, expansion, and CAC payback consequences of a specific pricing change so decisions are data-driven instead of gut-led.
Core Features & Use Cases
- Pricing Impact Framework: Walk through revenue impact, conversion effects, churn risk, expansion signal, and CAC payback shifts for any proposed price increase, new premium tier, add-on, usage change, discount, or packaging adjustment.
- Adaptive Question Flow: Collects baseline metrics and structured inputs for each pricing change type, then adapts follow-up questions to refine assumptions, scenario modeling, and risk scoring.
- Decision Recommendations: Synthesizes net revenue impact, churn and conversion trade-offs, and payback implications to recommend whether to implement broadly, test first, modify the plan, or hold the change.
- Use Case: Evaluate whether a 15% price increase, a new premium tier, or an annual discount will raise ARR without triggering unacceptable churn or payback deterioration.
Quick Start
Provide current ARPU, conversion, churn, CAC, NRR, customer counts, and the proposed pricing change so the agent can model revenue lift, churn impact, and CAC payback before you decide.
