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+---
+name: pricing-strategy
+description: "Analyze and design pricing strategies including pricing models, competitive pricing analysis, willingness-to-pay estimation, and price elasticity considerations. Use when setting prices, evaluating pricing models, preparing for a pricing change, or analyzing competitive pricing. Triggers: pricing strategy, pricing model, how to price, pricing analysis, willingness to pay, price point, freemium vs paid."
+---
+
+## 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**:
+   ```
+   Recommended Model: [Model type]
+   Value Metric: [What you charge on]
+
+   | Tier | Price | Target Segment | Key Features | Positioning |
+   |---|---|---|---|---|
+
+   Key Assumptions:
+   - [Assumption] → [How to test]
+
+   Risks:
+   - [Risk] → [Mitigation]
+   ```
+
+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)