Competitive Pricing Analysis
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…
--- name: pricing-strategy description: "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**:
Overview
Design a pricing strategy grounded in value delivery, competitive positioning, and willingness to pay.
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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
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?
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:
- 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
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
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
- Van Westendorp Price Sensitivity Meter (if survey data available):
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
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
| 1 | |
| 2 | name pricing-strategy |
| 3 | description "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." |
| 4 | |
| 5 | |
| 6 | ## Pricing Strategy |
| 7 | |
| 8 | Design a pricing strategy grounded in value delivery, competitive positioning, and willingness to pay. |
| 9 | |
| 10 | ### Context |
| 11 | |
| 12 | You are developing a pricing strategy for **$ARGUMENTS**. |
| 13 | |
| 14 | 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. |
| 15 | |
| 16 | ### Instructions |
| 17 | |
| 18 | **Understand the value delivered**: |
| 19 | What is the core value proposition? |
| 20 | What is the customer's alternative (and its cost)? |
| 21 | What quantifiable outcomes does the product deliver? (time saved, revenue gained, cost reduced) |
| 22 | What is the customer's willingness to pay based on that value? |
| 23 | |
| 24 | **Evaluate pricing models** — recommend the best fit: |
| 25 | |
| 26 | | Model | Best For | Example | |
| 27 | |---|---|---| |
| 28 | | **Flat-rate** | Simple products, predictable costs | Basecamp ($99/mo flat) | |
| 29 | | **Per-seat** | Collaboration tools, team products | Slack, Figma | |
| 30 | | **Usage-based** | Infrastructure, API products | AWS, Twilio | |
| 31 | | **Tiered** | Products with distinct user segments | Most SaaS (Free/Pro/Enterprise) | |
| 32 | | **Freemium** | Products with viral/network effects | Spotify, Notion | |
| 33 | | **Freemium + usage** | Platform products | Vercel, OpenAI API | |
| 34 | | **Value-based** | High-impact enterprise tools | Salesforce, Palantir | |
| 35 | |
| 36 | **Analyze competitive pricing**: |
| 37 | Map competitor pricing tiers and what's included |
| 38 | Identify where your product sits (premium, mid-market, budget) |
| 39 | Find pricing gaps or opportunities |
| 40 | Note any industry pricing conventions |
| 41 | |
| 42 | **Design the pricing structure**: |
| 43 | **Tiers**: Define 2-4 tiers with clear differentiation |
| 44 | **Feature gating**: Which features go in which tier? (Use value metrics, not arbitrary limits) |
| 45 | **Value metric**: What unit do you charge on? (users, events, storage, API calls) |
| 46 | **Anchor pricing**: Set the most popular tier to feel like the obvious choice |
| 47 | **Annual discount**: Typically 15-20% off monthly pricing |
| 48 | |
| 49 | **Estimate price sensitivity**: |
| 50 | Van Westendorp Price Sensitivity Meter (if survey data available): |
| 51 | Too cheap → quality concerns |
| 52 | Cheap → good value |
| 53 | Expensive → starting to hesitate |
| 54 | Too expensive → won't buy |
| 55 | Alternatively, estimate based on competitor pricing and value delivered |
| 56 | |
| 57 | **Plan pricing experiments**: |
| 58 | A/B test pricing pages (different price points, tier names, feature bundles) |
| 59 | Founder-led sales conversations to test willingness to pay |
| 60 | Landing page tests with different price anchors |
| 61 | Cohort analysis of conversion rates by price point |
| 62 | |
| 63 | **Output a pricing recommendation**: |
| 64 | |
| 65 | Recommended Model: [Model type] |
| 66 | Value Metric: [What you charge on] |
| 67 | |
| 68 | | Tier | Price | Target Segment | Key Features | Positioning | |
| 69 | |---|---|---|---|---| |
| 70 | |
| 71 | Key Assumptions: |
| 72 | - [Assumption] → [How to test] |
| 73 | |
| 74 | Risks: |
| 75 | - [Risk] → [Mitigation] |
| 76 | |
| 77 | |
| 78 | Think step by step. Save as markdown. Flag any assumptions that need validation before launch. |
| 79 | |
| 80 | |
| 81 | |
| 82 | ### Further Reading |
| 83 | |
| 84 | [Product Pricing Strategies 101] |
| 85 | [The AI Product Pricing Masterclass: OpenAI Product Lead on Why SaaS Pricing Fails in AI (and How to Fix It)] (video course) |
| 86 |
Details
- Updated
- Sep 14, 2026
- License
- MIT
- Stars on the repo
- ★ 26,557
- Checked
- Source
- phuryn/pm-skills ↗
- Creator
- phuryn · 69 listings
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