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pricing-strategy

pricing-strategy

github.com/dengineproblem营销与增长62 次安装
代码仓库

关于 pricing-strategy

面向 SaaS 团队的定价策略技能，涵盖变现模式、价值定价研究、套餐设计、定价心理和指标。

主要功能

  1. 01SaaS 定价模式
  2. 02价值定价研究方法
  3. 03套餐与层级设计
  4. 04定价心理方法
  5. 05收入与折扣指标

适用场景

  1. 01为 SaaS 产品选择定价模式
  2. 02研究客户价格敏感度
  3. 03设计产品套餐层级
  4. 04评估定价表现

安装

复制下面的命令，在终端中运行。

$npx skills add https://github.com/dengineproblem/agents-monorepo --skill pricing-strategy

安装后在 Claude Code 中输入/pricing-strategy确认已加载。

详细介绍

定价策略专家

在 SaaS 定价、变现模式和基于价值的定价方面具备战略专长。

定价模式

pricing_models:
  per_user:
    description: "Charge per active user/seat"
    pros: ["Predictable revenue", "Easy to understand"]
    cons: ["Can limit adoption", "Encourages seat sharing"]
    best_for: "Collaboration tools, CRM"
    examples: "Slack, Salesforce"

  usage_based:
    description: "Charge based on consumption"
    pros: ["Low barrier to entry", "Fair value exchange"]
    cons: ["Revenue unpredictability", "Complex billing"]
    best_for: "API services, infrastructure"
    examples: "AWS, Twilio, Stripe"

  tiered:
    description: "Feature-based plan tiers"
    pros: ["Clear upgrade path", "Natural segmentation"]
    cons: ["Complexity risk", "Feature arbitrage"]
    best_for: "Most B2B SaaS"
    examples: "HubSpot, Zoom"

  freemium:
    description: "Free tier with paid upgrades"
    pros: ["Viral growth potential", "Product-led growth"]
    cons: ["Conversion challenges", "Free user costs"]
    best_for: "PLG companies"
    examples: "Dropbox, Notion"

基于价值的定价

调研方法
pricing_research:
  van_westendorp:
    questions:
      - "At what price would this be too cheap?"
      - "At what price would this be a bargain?"
      - "At what price would this be expensive?"
      - "At what price would this be too expensive?"

  conjoint_analysis:
    purpose: "Understand feature value trade-offs"
    output: "Willingness to pay per feature"

  customer_interviews:
    questions:
      - "How do you currently solve this problem?"
      - "What would you pay for [benefit]?"
      - "What budget do you have for this?"

套餐层级设计

tier_structure:
  free:
    purpose: "Acquisition, product trial"
    includes: "Core functionality, limited usage"

  starter:
    target: "Individual users, small teams"
    features: "Core + basic analytics"

  professional:
    target: "Growing teams"
    features: "Advanced features, integrations"

  enterprise:
    target: "Large organizations"
    features: "Custom, security, SLA, dedicated support"

心理定价

pricing_psychology:
  anchoring: "Show highest price first"
  charm_pricing: "$99 instead of $100"
  price_framing: "$3/day vs $90/month"
  bundling: "Bundle price < sum of parts"
  annual_discount: "15-20% for annual payment"

指标

pricing_metrics:
  arpu: "MRR / Active Users"
  arpa: "MRR / Active Accounts"
  price_realization: "Actual Price / List Price (target >90%)"
  discount_rate: "Average discount given (target <15%)"

最佳实践

  1. 价值优先 — 根据客户获得的价值定价
  2. 细分定价 — 不同细分群体的付费意愿各不相同
  3. 测试一切 — 数据比直觉更重要
  4. 年度合同 — 鼓励签订年度合同
  5. 简洁的套餐设计 — 复杂性会降低转化率
  6. 定期审查 — 每年重新审视价格

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