Pricing strategy

Skill dills122/ai-central/templates/skills/imported/pm-skills/pm-product-strategy/skills/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.From its SKILL.md

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npx -y skills add dills122/ai-central --skill pricing-strategy

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SKILL.md

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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
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.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.