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pricing

bycoreyhaines31· 76 skills

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TL;DR

When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'how much should I charge,' 'my pricing is wrong,' 'pricing page,' 'annual vs monthly,' 'per seat pricing,' 'should I offer a free plan,' 'pricing page teardown,' 'pricing page audit,' 'is my pricing page AI-readable,' or 'can AI read my pricing.' Use this whenever someone is figuring out what to charge, how to structure their plans, or wants to audit a pricing page (for humans and for the AI agents that shortlist tools). For in-app upgrade screens, see paywalls. For offer construction (bonuses, guarantees, value framing, naming) on services/courses/coaching/high-ticket B2B, see offers.

How to install pricing?

coreyhaines31/marketingskills/pricing
$npx -y skills add coreyhaines31/marketingskills --skill pricing

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Run `npx skills use "https://github.com/coreyhaines31/marketingskills" --skill "coreyhaines31/marketingskills/pricing"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.

Use the whole pack

Use the skills in "https://github.com/coreyhaines31/marketingskills" that are relevant to the current task. Run `npx skills add "https://github.com/coreyhaines31/marketingskills"` and select the relevant skills, then follow their instructions.

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SKILL.md
1# Pricing Strategy
2 
3You 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.
4 
5## Before Starting
6 
7**Check for product marketing context first:**
8If `.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.
9 
10Gather this context (ask if not provided):
11 
12### 1. Business Context
13- What type of product? (SaaS, marketplace, e-commerce, service)
14- What's your current pricing (if any)?
15- What's your target market? (SMB, mid-market, enterprise)
16- What's your go-to-market motion? (self-serve, sales-led, hybrid)
17 
18### 2. Value & Competition
19- What's the primary value you deliver?
20- What alternatives do customers consider?
21- How do competitors price?
22 
23### 3. Current Performance
24- What's your current conversion rate?
25- What's your ARPU and churn rate?
26- Any feedback on pricing from customers/prospects?
27 
28### 4. Goals
29- Optimizing for growth, revenue, or profitability?
30- Moving upmarket or expanding downmarket?
31 
32---
33 
34## Pricing Fundamentals
35 
36### The Three Pricing Axes
37 
38**1. Packaging** — What's included at each tier?
39- Features, limits, support level
40- How tiers differ from each other
41 
42**2. Pricing Metric** — What do you charge for?
43- Per user, per usage, flat fee
44- How price scales with value
45 
46**3. Price Point** — How much do you charge?
47- The actual dollar amounts
48- Perceived value vs. cost
49 
50### Value-Based Pricing
51 
52Price should be based on value delivered, not cost to serve:
53 
54- **Customer's perceived value** — The ceiling
55- **Your price** — Between alternatives and perceived value
56- **Next best alternative** — The floor for differentiation
57- **Your cost to serve** — Only a baseline, not the basis
58 
59**Key insight:** Price between the next best alternative and perceived value.
60 
61---
62 
63## Value Metrics
64 
65### What is a Value Metric?
66 
67The value metric is what you charge for—it should scale with the value customers receive.
68 
69**Good value metrics:**
70- Align price with value delivered
71- Are easy to understand
72- Scale as customer grows
73- Are hard to game
74 
75### Common Value Metrics
76 
77| Metric | Best For | Example |
78|--------|----------|---------|
79| Per user/seat | Collaboration tools | Slack, Notion |
80| Per usage | Variable consumption | AWS, Twilio |
81| Per feature | Modular products | HubSpot add-ons |
82| Per contact/record | CRM, email tools | Mailchimp |
83| Per transaction | Payments, marketplaces | Stripe |
84| Flat fee | Simple products | Basecamp |
85 
86### Choosing Your Value Metric
87 
88Ask: "As a customer uses more of [metric], do they get more value?"
89- If yes → good value metric
90- If no → price doesn't align with value
91 
92---
93 
94## Tier Structure Overview
95 
96### Good-Better-Best Framework
97 
98**Good tier (Entry):** Core features, limited usage, low price
99**Better tier (Recommended):** Full features, reasonable limits, anchor price
100**Best tier (Premium):** Everything, advanced features, 2-3x Better price
101 
102### Tier Differentiation
103 
104- **Feature gating** — Basic vs. advanced features
105- **Usage limits** — Same features, different limits
106- **Support level** — Email → Priority → Dedicated
107- **Access** — API, SSO, custom branding
108 
109**For detailed tier structures and persona-based packaging**: See [references/tier-structure.md](references/tier-structure.md)
110 
111---
112 
113## Pricing Research
114 
115### Van Westendorp Method
116 
117Four questions that identify acceptable price range:
1181. Too expensive (wouldn't consider)
1192. Too cheap (question quality)
1203. Expensive but might consider
1214. A bargain
122 
123Analyze intersections to find optimal pricing zone.
124 
125### MaxDiff Analysis
126 
127Identifies which features customers value most:
128- Show sets of features
129- Ask: Most important? Least important?
130- Results inform tier packaging
131 
132**For detailed research methods**: See [references/research-methods.md](references/research-methods.md)
133 
134---
135 
136## When to Raise Prices
137 
138### Signs It's Time
139 
140**Market signals:**
141- Competitors have raised prices
142- Prospects don't flinch at price
143- "It's so cheap!" feedback
144 
145**Business signals:**
146- Very high conversion rates (>40%)
147- Very low churn (<3% monthly)
148- Strong unit economics
149 
150**Product signals:**
151- Significant value added since last pricing
152- Product more mature/stable
153 
154### Price Increase Strategies
155 
1561. **Grandfather existing** — New price for new customers only
1572. **Delayed increase** — Announce 3-6 months out
1583. **Tied to value** — Raise price but add features
1594. **Plan restructure** — Change plans entirely
160 
161---
162 
163## Pricing Page Best Practices
164 
165### Above the Fold
166- Clear tier comparison table
167- Recommended tier highlighted
168- Monthly/annual toggle
169- Primary CTA for each tier
170 
171### Common Elements
172- Feature comparison table
173- Who each tier is for
174- FAQ section
175- Annual discount callout (17-20%)
176- Money-back guarantee
177- Customer logos/trust signals
178 
179### Pricing Psychology
180- **Anchoring:** Show higher-priced option first
181- **Decoy effect:** Middle tier should be best value
182- **Charm pricing:** $49 vs. $50 (for value-focused)
183- **Round pricing:** $50 vs. $49 (for premium)
184 
185---
186 
187## Pricing Page Teardown
188 
189When someone wants to audit an existing pricing *page* for **clarity, transparency, and AI-readability** (not the pricing strategy itself, and not conversion-rate optimization — that's `cro`), run a **teardown** that scores it across two axes and returns prioritized fixes:
190 
191- **Human buyer experience** — value-prop clarity, plan differentiation, cognitive load, trust signals, pricing psychology, and price transparency.
192- **AI-agent readiness** — whether the LLMs and agents that increasingly shortlist and compare tools can actually read and quote your pricing: machine-readable prices (not locked in an image or behind "Contact us"), extractable FAQ/objection coverage, per-tier depth stated in text, and structured data. Buyers now ask ChatGPT/Perplexity/Claude "what's the best X and what does it cost?" *before* visiting — a pricing page an agent can't parse loses deals you never see.
193 
194**Fast check — the "paste test":** give the pricing URL to a browsing-capable AI (Perplexity, ChatGPT with search, Claude with web) — or paste the rendered page text — and ask "what are the plans and prices?" A clean miss means agents fetching your page will struggle too (a heuristic, not proof every agent fails).
195 
196The AI-readiness fixes are usually high-impact, low-effort (put prices in text, add `Offer` schema). Hand implementation to **schema** (Product/Offer JSON-LD) and **ai-seo** (extractability, AI-bot access, `llms.txt`).
197 
198**For the full 10-dimension rubric, scoring, and report template:** See [references/pricing-page-teardown.md](references/pricing-page-teardown.md). *(AI-agent-readiness lens adapted from Kyle Poyar / Growth Unhinged.)*
199 
200---
201 
202## Pricing Checklist
203 
204### Before Setting Prices
205- [ ] Defined target customer personas
206- [ ] Researched competitor pricing
207- [ ] Identified your value metric
208- [ ] Conducted willingness-to-pay research
209- [ ] Mapped features to tiers
210 
211### Pricing Structure
212- [ ] Chosen number of tiers
213- [ ] Differentiated tiers clearly
214- [ ] Set price points based on research
215- [ ] Created annual discount strategy
216- [ ] Planned enterprise/custom tier
217 
218---
219 
220## Task-Specific Questions
221 
2221. What pricing research have you done?
2232. What's your current ARPU and conversion rate?
2243. What's your primary value metric?
2254. Who are your main pricing personas?
2265. Are you self-serve, sales-led, or hybrid?
2276. What pricing changes are you considering?
228 
229---
230 
231## Related Skills
232 
233- **churn-prevention**: For cancel flows, save offers, and reducing revenue churn
234- **cro**: For optimizing pricing page conversion
235- **ai-seo**: For making the pricing page extractable/citable by AI (the teardown's AI-agent-readiness axis)
236- **schema**: For Product/Offer structured data so machines can read your tiers and prices
237- **copywriting**: For pricing page copy
238- **marketing-psychology**: For pricing psychology principles
239- **ab-testing**: For testing pricing changes
240- **revops**: For deal desk processes and pipeline pricing
241- **sales-enablement**: For proposal templates and pricing presentations

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Repocoreyhaines31/marketingskills
TypeSkills
CategoryProduct & Project Management
ForProduct ManagerAnalyst
UpdatedJul 2026
License—
First seenJul 26, 2026

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