What problem does it solve? Deciding how to price a product across different customer segments is difficult, and teams often leave revenue on the table by using a single flat price. This Skill provides structured pricing psychology frameworks, segment-based differentiation models, and willingness-to-pay analysis when you explicitly request aggressive monetization research. ## Core Features & Use Cases - Value Metric Optimization: Compares pricing bases such as per-user, usage-based, feature-gated, and performance-aligned models to pick the metric that scales with customer success. - Segment-Based Price Differentiation: Maps tiers by company size, urgency, expertise, region (PPP), and timing, with concrete examples like early-bird discounts and enterprise SSO premiums. - Psychological Pricing Tactics: Covers charm pricing, anchoring, decoy effects, loss aversion, and bundling, plus ethical boundary guidelines for each tactic. - Use Case: You are launching a SaaS product and ask for a deep pricing strategy. The Skill produces a tiered pricing table by segment, psychological price points like ₩9,900, and flags which differentiation tactics carry ethical or reputational risk. ## Quick Start Ask the assistant to run a revenue maximization analysis with segment-based pricing and psychological pricing tactics for your product.
