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.
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Design a pricing strategy grounded in value delivery, competitive positioning, and willingness to pay.
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.
Understand the value delivered:
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 |
Analyze competitive pricing:
Design the pricing structure:
Estimate price sensitivity:
Plan pricing experiments:
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.