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pricing-strategy

根据产品价值、替代方案和竞品定价，评估定价模型与分层结构，估算支付意愿和价格敏感度，规划定价实验，并输出包含假设与风险的定价建议。

phuryn
热度 36.45
最近更新 2026-10-19 07:25:27
分类：营销依赖：内部调用大模型 / 联网浏览搜索 / 读写文件应用场景：市场分析 / 报告撰写 / 财务 / 研究

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add phuryn/pm-skills/pricing-strategy
Metadata
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:

    • 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