Pricing strategy skill

Analyze and design pricing strategies including pricing models, competitive pricing analysis, willingness-to-pay estimation, and price elasticity.

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Pricing Strategy

Design a pricing strategy grounded in value delivery, competitive positioning, and willingness to pay.

Context

You are developing a pricing strategy for $ARGUMENTS.

If the user provides files (competitor pricing, survey data, financial models, or usage data), read them first. Use web search to research competitor pricing if needed.

Instructions

Understand the value delivered:
- What is the core value proposition?
- What is the customer's alternative (and its cost)?
- What quantifiable outcomes does the product deliver? (time saved, revenue gained, cost reduced)
- What is the customer's willingness to pay based on that value?

Evaluate pricing models — recommend the best fit:

Model	Best For	Example
Flat-rate	Simple products, predictable costs	Basecamp ($99/mo flat)
Per-seat	Collaboration tools, team products	Slack, Figma
Usage-based	Infrastructure, API products	AWS, Twilio
Tiered	Products with distinct user segments	Most SaaS (Free/Pro/Enterprise)
Freemium	Products with viral/network effects	Spotify, Notion
Freemium + usage	Platform products	Vercel, OpenAI API
Value-based	High-impact enterprise tools	Salesforce, Palantir

Analyze competitive pricing:
- Map competitor pricing tiers and what's included
- Identify where your product sits (premium, mid-market, budget)
- Find pricing gaps or opportunities
- Note any industry pricing conventions
Design the pricing structure:
- Tiers: Define 2-4 tiers with clear differentiation
- Feature gating: Which features go in which tier? (Use value metrics, not arbitrary limits)
- Value metric: What unit do you charge on? (users, events, storage, API calls)
- Anchor pricing: Set the most popular tier to feel like the obvious choice
- Annual discount: Typically 15-20% off monthly pricing
Estimate price sensitivity:
- Van Westendorp Price Sensitivity Meter (if survey data available):
  - Too cheap → quality concerns
  - Cheap → good value
  - Expensive → starting to hesitate
  - Too expensive → won't buy
- Alternatively, estimate based on competitor pricing and value delivered
Plan pricing experiments:
- A/B test pricing pages (different price points, tier names, feature bundles)
- Founder-led sales conversations to test willingness to pay
- Landing page tests with different price anchors
- Cohort analysis of conversion rates by price point

Output a pricing recommendation:

Recommended Model: [Model type]
Value Metric: [What you charge on]

| Tier | Price | Target Segment | Key Features | Positioning |
|---|---|---|---|---|

Key Assumptions:
- [Assumption] → [How to test]

Risks:
- [Risk] → [Mitigation]

Think step by step. Save as markdown. Flag any assumptions that need validation before launch.

1	---
2	name: pricing-strategy
3	description: "Analyze and design pricing strategies including pricing models, competitive pricing analysis, willingness-to-pay estimation, and price elasticity. Use when setting prices, evaluating pricing models, preparing for a pricing change, or comparing freemium vs paid approaches."
4	---
5
6	## Pricing Strategy
7
8	Design a pricing strategy grounded in value delivery, competitive positioning, and willingness to pay.
9
10	### Context
11
12	You are developing a pricing strategy for $ARGUMENTS.
13
14	If the user provides files (competitor pricing, survey data, financial models, or usage data), read them first. Use web search to research competitor pricing if needed.
15
16	### Instructions
17
18	1. Understand the value delivered:
19	- What is the core value proposition?
20	- What is the customer's alternative (and its cost)?
21	- What quantifiable outcomes does the product deliver? (time saved, revenue gained, cost reduced)
22	- What is the customer's willingness to pay based on that value?
23
24	2. Evaluate pricing models — recommend the best fit:
25
26	\| Model \| Best For \| Example \|
27	\|---\|---\|---\|
28	\| Flat-rate \| Simple products, predictable costs \| Basecamp ($99/mo flat) \|
29	\| Per-seat \| Collaboration tools, team products \| Slack, Figma \|
30	\| Usage-based \| Infrastructure, API products \| AWS, Twilio \|
31	\| Tiered \| Products with distinct user segments \| Most SaaS (Free/Pro/Enterprise) \|
32	\| Freemium \| Products with viral/network effects \| Spotify, Notion \|
33	\| Freemium + usage \| Platform products \| Vercel, OpenAI API \|
34	\| Value-based \| High-impact enterprise tools \| Salesforce, Palantir \|
35
36	3. Analyze competitive pricing:
37	- Map competitor pricing tiers and what's included
38	- Identify where your product sits (premium, mid-market, budget)
39	- Find pricing gaps or opportunities
40	- Note any industry pricing conventions
41
42	4. Design the pricing structure:
43	- Tiers: Define 2-4 tiers with clear differentiation
44	- Feature gating: Which features go in which tier? (Use value metrics, not arbitrary limits)
45	- Value metric: What unit do you charge on? (users, events, storage, API calls)
46	- Anchor pricing: Set the most popular tier to feel like the obvious choice
47	- Annual discount: Typically 15-20% off monthly pricing
48
49	5. Estimate price sensitivity:
50	- Van Westendorp Price Sensitivity Meter (if survey data available):
51	- Too cheap → quality concerns
52	- Cheap → good value
53	- Expensive → starting to hesitate
54	- Too expensive → won't buy
55	- Alternatively, estimate based on competitor pricing and value delivered
56
57	6. Plan pricing experiments:
58	- A/B test pricing pages (different price points, tier names, feature bundles)
59	- Founder-led sales conversations to test willingness to pay
60	- Landing page tests with different price anchors
61	- Cohort analysis of conversion rates by price point
62
63	7. Output a pricing recommendation:
64	```
65	Recommended Model: [Model type]
66	Value Metric: [What you charge on]
67
68	\| Tier \| Price \| Target Segment \| Key Features \| Positioning \|
69	\|---\|---\|---\|---\|---\|
70
71	Key Assumptions:
72	- [Assumption] → [How to test]
73
74	Risks:
75	- [Risk] → [Mitigation]
76	```
77
78	Think step by step. Save as markdown. Flag any assumptions that need validation before launch.
79
80	---
81
82	### Further Reading
83
84	- [Product Pricing Strategies 101](https://www.productcompass.pm/p/product-pricing-strategies-101)
85	- [The AI Product Pricing Masterclass: OpenAI Product Lead on Why SaaS Pricing Fails in AI (and How to Fix It)](https://www.productcompass.pm/p/ai-product-pricing) (video course)
86