$npx -y skills add phuryn/pm-skills --skill pricing-strategyAnalyze and design pricing strategies including pricing models, competitive pricing analysis, willingness-to-pay estimation, and price elasticity. Use when setting prices, evaluating pricing models, preparing for a pricing change, or comparing freemium vs paid approaches.
| 1 | ## Pricing Strategy |
| 2 | |
| 3 | Design a pricing strategy grounded in value delivery, competitive positioning, and willingness to pay. |
| 4 | |
| 5 | ### Context |
| 6 | |
| 7 | You are developing a pricing strategy for **$ARGUMENTS**. |
| 8 | |
| 9 | 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. |
| 10 | |
| 11 | ### Instructions |
| 12 | |
| 13 | 1. **Understand the value delivered**: |
| 14 | - What is the core value proposition? |
| 15 | - What is the customer's alternative (and its cost)? |
| 16 | - What quantifiable outcomes does the product deliver? (time saved, revenue gained, cost reduced) |
| 17 | - What is the customer's willingness to pay based on that value? |
| 18 | |
| 19 | 2. **Evaluate pricing models** — recommend the best fit: |
| 20 | |
| 21 | | Model | Best For | Example | |
| 22 | |---|---|---| |
| 23 | | **Flat-rate** | Simple products, predictable costs | Basecamp ($99/mo flat) | |
| 24 | | **Per-seat** | Collaboration tools, team products | Slack, Figma | |
| 25 | | **Usage-based** | Infrastructure, API products | AWS, Twilio | |
| 26 | | **Tiered** | Products with distinct user segments | Most SaaS (Free/Pro/Enterprise) | |
| 27 | | **Freemium** | Products with viral/network effects | Spotify, Notion | |
| 28 | | **Freemium + usage** | Platform products | Vercel, OpenAI API | |
| 29 | | **Value-based** | High-impact enterprise tools | Salesforce, Palantir | |
| 30 | |
| 31 | 3. **Analyze competitive pricing**: |
| 32 | - Map competitor pricing tiers and what's included |
| 33 | - Identify where your product sits (premium, mid-market, budget) |
| 34 | - Find pricing gaps or opportunities |
| 35 | - Note any industry pricing conventions |
| 36 | |
| 37 | 4. **Design the pricing structure**: |
| 38 | - **Tiers**: Define 2-4 tiers with clear differentiation |
| 39 | - **Feature gating**: Which features go in which tier? (Use value metrics, not arbitrary limits) |
| 40 | - **Value metric**: What unit do you charge on? (users, events, storage, API calls) |
| 41 | - **Anchor pricing**: Set the most popular tier to feel like the obvious choice |
| 42 | - **Annual discount**: Typically 15-20% off monthly pricing |
| 43 | |
| 44 | 5. **Estimate price sensitivity**: |
| 45 | - Van Westendorp Price Sensitivity Meter (if survey data available): |
| 46 | - Too cheap → quality concerns |
| 47 | - Cheap → good value |
| 48 | - Expensive → starting to hesitate |
| 49 | - Too expensive → won't buy |
| 50 | - Alternatively, estimate based on competitor pricing and value delivered |
| 51 | |
| 52 | 6. **Plan pricing experiments**: |
| 53 | - A/B test pricing pages (different price points, tier names, feature bundles) |
| 54 | - Founder-led sales conversations to test willingness to pay |
| 55 | - Landing page tests with different price anchors |
| 56 | - Cohort analysis of conversion rates by price point |
| 57 | |
| 58 | 7. **Output a pricing recommendation**: |
| 59 | ``` |
| 60 | Recommended Model: [Model type] |
| 61 | Value Metric: [What you charge on] |
| 62 | |
| 63 | | Tier | Price | Target Segment | Key Features | Positioning | |
| 64 | |---|---|---|---|---| |
| 65 | |
| 66 | Key Assumptions: |
| 67 | - [Assumption] → [How to test] |
| 68 | |
| 69 | Risks: |
| 70 | - [Risk] → [Mitigation] |
| 71 | ``` |
| 72 | |
| 73 | Think step by step. Save as markdown. Flag any assumptions that need validation before launch. |
| 74 | |
| 75 | --- |
| 76 | |
| 77 | ### Further Reading |
| 78 | |
| 79 | - [Product Pricing Strategies 101](https://www.productcompass.pm/p/product-pricing-strategies-101) |
| 80 | - [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) |