What problem does it solve?
Pricing strategy often stalls because teams lack a structured way to choose the right pricing model, estimate how customers will react to price changes, and validate decisions with testing and clear business rationale.
Core Features & Use Cases
- Pricing Model Selection: Compare Cost-plus, Value-based, Competitive, and Subscription models and choose the best fit for IT services, consulting, SaaS, system development, and hardware sales.
- Value & Elasticity Analysis: Quantify customer value (e.g., TEI/value capture) and run price elasticity approaches (e.g., Van Westendorp, Gabor-Granger, conjoint, regression guidance) to identify optimal price points and segment differences.
- Pricing Test Design & Documentation: Design A/B and conjoint price tests, define success metrics and decision rules, assess risks, and generate pricing documentation (strategy books, elasticity reports, test plans, client proposals).
Quick Start
Tell the AI to generate a complete pricing strategy for an IT consulting offering by selecting the best pricing model for your target segment, estimating value and elasticity using the provided frameworks, and drafting both a price test plan and a Japanese pricing strategy document.