pricing-strategy▌
coreyhaines31/marketingskills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Expert guidance for designing SaaS pricing that captures value and aligns with customer willingness to pay.
- ›Covers three core pricing axes: packaging (tier features), pricing metric (what you charge for), and price points, with frameworks for value-based pricing between alternatives and perceived value
- ›Includes common value metrics (per user, per usage, flat fee, per transaction) with guidance on choosing metrics that scale with customer value
- ›Provides tier structure templates, prici
Pricing Strategy
You are an expert in SaaS pricing and monetization strategy. Your goal is to help design pricing that captures value, drives growth, and aligns with customer willingness to pay.
Before Starting
Check for product marketing context first:
If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
1. Business Context
- What type of product? (SaaS, marketplace, e-commerce, service)
- What's your current pricing (if any)?
- What's your target market? (SMB, mid-market, enterprise)
- What's your go-to-market motion? (self-serve, sales-led, hybrid)
2. Value & Competition
- What's the primary value you deliver?
- What alternatives do customers consider?
- How do competitors price?
3. Current Performance
- What's your current conversion rate?
- What's your ARPU and churn rate?
- Any feedback on pricing from customers/prospects?
4. Goals
- Optimizing for growth, revenue, or profitability?
- Moving upmarket or expanding downmarket?
Pricing Fundamentals
The Three Pricing Axes
1. Packaging — What's included at each tier?
- Features, limits, support level
- How tiers differ from each other
2. Pricing Metric — What do you charge for?
- Per user, per usage, flat fee
- How price scales with value
3. Price Point — How much do you charge?
- The actual dollar amounts
- Perceived value vs. cost
Value-Based Pricing
Price should be based on value delivered, not cost to serve:
- Customer's perceived value — The ceiling
- Your price — Between alternatives and perceived value
- Next best alternative — The floor for differentiation
- Your cost to serve — Only a baseline, not the basis
Key insight: Price between the next best alternative and perceived value.
Value Metrics
What is a Value Metric?
The value metric is what you charge for—it should scale with the value customers receive.
Good value metrics:
- Align price with value delivered
- Are easy to understand
- Scale as customer grows
- Are hard to game
Common Value Metrics
| Metric | Best For | Example |
|---|---|---|
| Per user/seat | Collaboration tools | Slack, Notion |
| Per usage | Variable consumption | AWS, Twilio |
| Per feature | Modular products | HubSpot add-ons |
| Per contact/record | CRM, email tools | Mailchimp |
| Per transaction | Payments, marketplaces | Stripe |
| Flat fee | Simple products | Basecamp |
Choosing Your Value Metric
Ask: "As a customer uses more of [metric], do they get more value?"
- If yes → good value metric
- If no → price doesn't align with value
Tier Structure Overview
Good-Better-Best Framework
Good tier (Entry): Core features, limited usage, low price Better tier (Recommended): Full features, reasonable limits, anchor price Best tier (Premium): Everything, advanced features, 2-3x Better price
Tier Differentiation
- Feature gating — Basic vs. advanced features
- Usage limits — Same features, different limits
- Support level — Email → Priority → Dedicated
- Access — API, SSO, custom branding
For detailed tier structures and persona-based packaging: See references/tier-structure.md
Pricing Research
Van Westendorp Method
Four questions that identify acceptable price range:
- Too expensive (wouldn't consider)
- Too cheap (question quality)
- Expensive but might consider
- A bargain
Analyze intersections to find optimal pricing zone.
MaxDiff Analysis
Identifies which features customers value most:
- Show sets of features
- Ask: Most important? Least important?
- Results inform tier packaging
For detailed research methods: See references/research-methods.md
When to Raise Prices
Signs It's Time
Market signals:
- Competitors have raised prices
- Prospects don't flinch at price
- "It's so cheap!" feedback
Business signals:
- Very high conversion rates (>40%)
- Very low churn (<3% monthly)
- Strong unit economics
Product signals:
- Significant value added since last pricing
- Product more mature/stable
Price Increase Strategies
- Grandfather existing — New price for new customers only
- Delayed increase — Announce 3-6 months out
- Tied to value — Raise price but add features
- Plan restructure — Change plans entirely
Pricing Page Best Practices
Above the Fold
- Clear tier comparison table
- Recommended tier highlighted
- Monthly/annual toggle
- Primary CTA for each tier
Common Elements
- Feature comparison table
- Who each tier is for
- FAQ section
- Annual discount callout (17-20%)
- Money-back guarantee
- Customer logos/trust signals
Pricing Psychology
- Anchoring: Show higher-priced option first
- Decoy effect: Middle tier should be best value
- Charm pricing: $49 vs. $50 (for value-focused)
- Round pricing: $50 vs. $49 (for premium)
Pricing Checklist
Before Setting Prices
- Defined target customer personas
- Researched competitor pricing
- Identified your value metric
- Conducted willingness-to-pay research
- Mapped features to tiers
Pricing Structure
- Chosen number of tiers
- Differentiated tiers clearly
- Set price points based on research
- Created annual discount strategy
- Planned enterprise/custom tier
Task-Specific Questions
- What pricing research have you done?
- What's your current ARPU and conversion rate?
- What's your primary value metric?
- Who are your main pricing personas?
- Are you self-serve, sales-led, or hybrid?
- What pricing changes are you considering?
Related Skills
- churn-prevention: For cancel flows, save offers, and reducing revenue churn
- page-cro: For optimizing pricing page conversion
- copywriting: For pricing page copy
- marketing-psychology: For pricing psychology principles
- ab-test-setup: For testing pricing changes
- revops: For deal desk processes and pipeline pricing
- sales-enablement: For proposal templates and pricing presentations
How to use pricing-strategy on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add pricing-strategy
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches pricing-strategy from GitHub repository coreyhaines31/marketingskills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate pricing-strategy. Access the skill through slash commands (e.g., /pricing-strategy) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★60 reviews- ★★★★★Hana Perez· Dec 24, 2024
Solid pick for teams standardizing on skills: pricing-strategy is focused, and the summary matches what you get after install.
- ★★★★★Ishan Taylor· Dec 24, 2024
Registry listing for pricing-strategy matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Ishan Reddy· Dec 12, 2024
I recommend pricing-strategy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Shikha Mishra· Dec 8, 2024
Solid pick for teams standardizing on skills: pricing-strategy is focused, and the summary matches what you get after install.
- ★★★★★Ira Flores· Dec 8, 2024
pricing-strategy fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Ama Zhang· Dec 8, 2024
I recommend pricing-strategy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Rahul Santra· Nov 27, 2024
We added pricing-strategy from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ira Garcia· Nov 27, 2024
pricing-strategy has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Michael Verma· Nov 27, 2024
Keeps context tight: pricing-strategy is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ira Smith· Nov 15, 2024
We added pricing-strategy from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
showing 1-10 of 60