Pricing Strategy
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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## 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)Related Skills
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