SEO & Growth
AAnalytics Tracking
analytics-tracking
Set up and configure analytics tracking with proper event taxonomy.
pricing-strategy
Pricing page optimization, A/B testing frameworks, and conversion analysis.
Install
npx skills add coreyhaines31/pricing-strategy
SKILL.md
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.
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, 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. Packaging — What's included at each tier?
2. Pricing Metric — What do you charge for?
3. Price Point — How much do you charge?
Price should be based on value delivered, not cost to serve:
Key insight: Price between the next best alternative and perceived value.
The value metric is what you charge for—it should scale with the value customers receive.
Good 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 |
Ask: "As a customer uses more of [metric], do they get more value?"
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
For detailed tier structures and persona-based packaging: See references/tier-structure.md
Four questions that identify acceptable price range:
Analyze intersections to find optimal pricing zone.
Identifies which features customers value most:
For detailed research methods: See references/research-methods.md
Market signals:
Business signals:
Product signals:
When to use it
When not to
Questions
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Research-backed GEO toolkit — a Python CLI plus MCP server for auditing and improving content for AI answer engines.
Agent tooling
This index is ours, and so is the tooling behind it. If your team wants agents that understand how your own systems actually work, that is a thing we build.
Contact the dock
One address, read by the people who would do the work. No intake form, no calendar link — just an email.
tphamdn@gmail.com