pricing-strategy 标准
Pricing model design, competitive positioning, value metric selection, price testing, and pricing page optimization. Use when the user asks about pricing strategy, pricing models, price testing, value-based pricing, or competitive pricing analysis.
安装方式
cp -r skills/pricing-strategy ~/.claude/skills/pricing-strategy把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同，Claude Code 默认是 ~/.claude/skills/
https://raw.githubusercontent.com/thatrebeccarae/claude-marketing/a8a63ec1341f05ec9c1e9cb52b4edeb14e3bdcba/skills/pricing-strategy/SKILL.md下载后另存为 ~/.claude/skills/pricing-strategy/SKILL.md。链接锁定采集时的 commit，内容与本站展示一致。
整仓一次性获取：git clone --depth 1 https://github.com/thatrebeccarae/claude-marketing.git
依赖与权限
- 无需 API Key
- 需要联网访问外部服务
- 依赖外部命令：
gitmake - 以上为按正文与 frontmatter 自动推断的信号，仅供参考；安装前建议先阅读原文。
触发场景
pricing modelsprice testingvalue-based pricing
SKILL.md 正文
Pricing Strategy
Pricing model design, competitive analysis, and pricing page optimization.
Install
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/pricing-strategy ~/.claude/skills/Pricing Models
| Model | How It Works | Best For | Risk |
|---|---|---|---|
| Per-seat | Price per user/month | Collaboration tools | Discourages adoption |
| Usage-based | Pay for what you use | APIs, infrastructure | Revenue unpredictability |
| Tiered | Feature-gated plans | SaaS with clear feature tiers | Complexity, feature gating frustration |
| Freemium | Free tier + paid upgrades | PLG, network effects | Low conversion (2-5% typical) |
| Flat-rate | One price for everything | Simple products | Leaves money on table |
| Hybrid | Base + usage or seat + usage | Complex products | Pricing complexity |
| Per-unit | Price per resource (project, site) | Agencies, multi-property | Usage ceiling anxiety |
Value Metric Selection
The value metric is what you charge for (seats, API calls, revenue managed, etc.).
Good value metric criteria:
- Scales with customer value — as they get more value, they naturally pay more
- Easy to understand — customer can predict their bill
- Measurable — you can track and bill accurately
- Controllable — customer can influence their usage
| Product Type | Common Value Metrics |
|---|---|
| Email marketing | Contacts, emails sent |
| Analytics | Events tracked, monthly users |
| CRM | Seats, contacts |
| Infrastructure | Compute hours, storage, requests |
| E-commerce platform | GMV, orders, SKUs |
| Design tools | Seats, projects, exports |
Competitive Pricing Analysis
Analysis Framework
- Inventory competitors — list all direct and indirect alternatives
- Map pricing models — how does each charge?
- Normalize to common unit — price per seat/month at comparable usage
- Position on value map — plot price vs. feature completeness
- Identify gaps — underserved price points or segments
Positioning Strategies
| Strategy | Description | When to Use |
|---|---|---|
| Premium | Price above market, justify with value | Strong brand, unique features |
| Competitive | Match market prices | Commoditized market, feature parity |
| Penetration | Price below market to gain share | New entrant, land-and-expand model |
| Value | Price based on ROI delivered | Measurable customer outcomes |
Good/Better/Best Tier Design
Tier Structure
FREE (or Starter): Entry point — enough to get hooked, not enough for serious use
PRO (or Growth): Primary revenue tier — designed for most customers
ENTERPRISE: High-touch — custom pricing, premium support, compliance featuresTier Design Rules
- Most Popular = middle tier — anchor it visually and with a badge
- Free tier limits should push to paid naturally (not by being crippled)
- Feature fences should align with customer maturity (not arbitrary gates)
- Price anchoring — show enterprise price to make pro feel reasonable
- Annual discount — 15-20% for annual commitment (show monthly equivalent)
Pricing Page Optimization
Best Practices
- Default to annual billing toggle (pre-selected) with monthly option
- Show savings for annual ("Save 20%")
- Highlight recommended plan (visual emphasis + "Most Popular" badge)
- Feature comparison table with max 8-10 rows (not 40)
- CTA per plan with specific text ("Start Free Trial" vs "Contact Sales")
- Social proof per tier ("Used by 500+ teams")
- FAQ section addressing pricing objections
- Money-back guarantee or free trial prominently displayed
Price Testing Methods
| Method | Sample | What It Tests |
|---|---|---|
| Van Westendorp | Survey 200+ | Price sensitivity (too cheap, too expensive, bargain, deal-breaker thresholds) |
| Gabor-Granger | Survey 300+ | Demand curve at specific price points |
| A/B test | Website traffic | Actual conversion at different prices |
| Cohort pricing | New signups | Different prices for different cohorts over time |
Integration with Other Skills
- cro-auditor — Pricing page conversion optimization
- ab-testing-framework — Design price tests with statistical rigor
- landing-page-optimizer — Optimize the pricing page layout
- icp-research — Willingness to pay by segment
质量与来源
- 所属仓库
- thatrebeccarae/claude-marketing
- 仓库星标
- 163
- 最近更新
- 5 个月前
- 采集时间
- 今天
- commit
- a8a63ec1341f
- 内容指纹
- sha256:952b202f2d70096
- 文件路径
- skills/pricing-strategy/SKILL.md
同仓库其它 Skill
查看全部 50 个ab-testing-framework
A/B and multivariate testing methodology. Design experiments, calculate sample sizes, determine statistical significance, avoid common pitfalls, and interpret results. Platform-agnostic framework applicable to landing pages, emails, ads, pricing, and product features. Use when the user asks about A/B testing, split testing, experiment design, statistical significance, or conversion experiments.
account-structure-review
Google and Meta paid media account structure evaluation. Audits campaign/ad set architecture against conversion volume minimums, budget thresholds, and targeting overlap. Identifies over-segmentation, under-segmentation, budget fragmentation, and structural anti-patterns blocking algorithmic learning. Provides consolidation roadmaps with migration plans. Use when inheriting accounts, quarterly health checks, or before scaling budgets.
aeo-geo-optimizer
Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) specialist. Optimize content and websites to appear in AI-generated answers from ChatGPT, Perplexity, Claude, Google AI Overviews, and other LLM-powered search experiences. Use when the user asks about AI search optimization, AEO, GEO, AI Overviews, appearing in AI answers, LLM citations, or optimizing for generative search.
brand-dna
Extract brand identity from a website URL — voice, colors, typography, imagery, values, and target audience — into a structured brand-profile.json. The profile feeds downstream skills (seo-content-writer, email-composer, frontend-design, pro-deck-builder, cross-platform-audit) for brand-consistent output. Use when the user says brand DNA, brand profile, extract brand, analyze brand, brand voice, brand identity, brand colors, or brand style guide.
brand-voice-guidelines
Develop brand voice, tone matrices, messaging frameworks, and brand book documentation. Use when the user asks about brand voice, tone of voice, brand guidelines, messaging framework, or brand consistency.
braze
Braze customer engagement platform expertise. Audit campaigns, Canvases, segments, messaging channels, and data architecture. Use when the user asks about Braze, customer engagement, push notifications, in-app messaging, cross-channel orchestration, or lifecycle marketing at scale.
相似 Skill
更多「营销」freehire-search
在本机运行的求职流水线：评估职位、按简历打分、定制简历、写求职信并做面试准备。
jobbank-search
在本机运行的求职流水线：评估职位、按简历打分、定制简历、写求职信并做面试准备。
jobdanmark-search
在本机运行的求职流水线：评估职位、按简历打分、定制简历、写求职信并做面试准备。
jobindex-search
在本机运行的求职流水线：评估职位、按简历打分、定制简历、写求职信并做面试准备。
jobnet-search
在本机运行的求职流水线：评估职位、按简历打分、定制简历、写求职信并做面试准备。
linkedin-search
在本机运行的求职流水线：评估职位、按简历打分、定制简历、写求职信并做面试准备。