What problem does it solve? SaaS teams often underprice their products, pick the wrong value metric, or avoid raising prices for years, leaving revenue on the table. This Skill provides a structured framework for designing pricing from scratch, auditing existing pricing, and executing price increases without burning customers. ## Core Features & Use Cases - Pricing Design & Optimization: Select value metrics (per-seat, usage-based, feature tiers), build Good-Better-Best tier structures, and apply value-based pricing anchored between the next-best alternative and perceived value. - Price Increase Planning: Choose from five increase strategies, model churn risk, and execute with communication templates and a 90-day rollout plan. - Pricing Page Design: Above-fold layout specs, feature comparison tables, FAQ copy, CTA frameworks, and an audit checklist with A/B test ideas. - Revenue Modeling: Run scripts/pricing_modeler.py to project 12-month MRR across price scenarios, estimate price elasticity from trial-to-paid conversion, and get recommended tier price points. - Use Case: A SaaS founder with 300 customers and 18% trial-to-paid conversion runs the pricing modeler, discovers they are market-priced, and uses the tier recommendation to restructure plans around a $79 mid-tier with a clear enterprise upsell path. ## Quick Start Ask the assistant to audit your current SaaS pricing and recommend a three-tier structure with price points based on your ARPU, churn rate, and competitor prices.
