Analyze and design pricing strategies including pricing models, competitive pricing analysis, willingness-to-pay estimation, and price elasticity. Use when setting prices, evaluating pricing models, preparing for a pricing change, or comparing freemium vs paid approaches.

Pricing Strategy Design a pricing strategy grounded in value delivery, competitive positioning, and willingness to pay. Context You are developing a pricing strategy for $ARGUMENTS . If the user provides files (competitor pricing, survey data, financial models, or usage data), read them first. Use web search to research competitor pricing if needed. Instructions 1. Understand the value delivered : What is the core value proposition? What is the customer's alternative (and its cost)? What quantifiable outcomes does the product deliver? (time saved, revenue gained, cost reduced) What is the customer's willingness to pay based on that value? 2. Evaluate pricing models — recommend the best fit: Model Best For Example Flat rate Simple products, predictable costs Basecamp ($99/mo flat) Per seat Collaboration tools, team products Slack, Figma Usage based Infrastructure, API products AWS, Twilio Tiered Products with distinct user segments Most SaaS (Free/Pro/Enterprise) Freemium Products with viral/network effects Spotify, Notion Freemium + usage Platform products Vercel, OpenAI API Value based High impact enterprise tools Salesforce, Palantir 3. Analyze competitive pricing : Map competitor pricing tiers and what's included Identify where your product sits (premium, mid market, budget) Find pricing gaps or opportunities Note any industry pricing conventions 4. Design the pricing structure : Tiers : Define 2 4 tiers with clear differentiation Feature gating : Which features go in which tier? (Use value metrics, not arbitrary limits) Value metric : What unit do you charge on? (users, events, storage, API calls) Anchor pricing : Set the most popular tier to feel like the obvious choice Annual discount : Typically 15 20% off monthly pricing 5. Estimate price sensitivity : Van Westendorp Price Sensitivity Meter (if survey data available): Too cheap → quality concerns Cheap → good value Expensive → starting to hesitate Too expensive → won't buy Alternatively, estimate based on competitor pricing and value delivered 6. Plan pricing experiments : A/B test pricing pages (different price points, tier names, feature bundles) Founder led sales conversations to test willingness to pay Landing page tests with different price anchors Cohort analysis of conversion rates by price point 7. Output a pricing recommendation : Think step by step. Save as markdown. Flag any assumptions that need validation before launch. Further Reading [Product Pricing Strategies 101](https://www.productcompass.pm/p/product pricing strategies 101) [The AI Product Pricing Masterclass: OpenAI Product Lead on Why SaaS Pricing Fails in AI (and How to Fix It)](https://www.productcompass.pm/p/ai product pricing) (video course)

pricing-strategy