Pitch Deck Coach
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Pricing Strategy
Recommends a pricing model, 2 to 4 tiers, a value metric, and a set of pricing experiments for your product, backed by a map of competitor prices.
By Paweł Huryn
AI PM Coach, ex-CPO, The Product Compass
27.3k stars2.8k forks
About
Recommends a pricing model, 2 to 4 tiers, a value metric, and a set of pricing experiments for your product, backed by a map of competitor prices.
What it tells your AI to do
Read pricing data, surveys, or files you shareSearch the web for public competitor pricing if neededWrite a pricing recommendation as text
Source
@phuryn on GitHubhttps://github.com/phuryn/pm-skills/tree/main/pm-product-strategy/skills/pricing-strategy
Someone else wrote this — read the source, verify it does what it says, and never share a password or API key with it.
Try it
Design a pricing strategy for my AI meeting-notes app for small agencies. Compare per-seat and usage-based models and propose three tiers with a value metric.
Read the source
A skill is instructions your AI follows. Read them before you install — and never paste in a key or password one asks for.
SKILL.md
- name
- pricing-strategy
- description
- Recommends a pricing model, 2 to 4 tiers, a value metric, and a set of pricing experiments for your product, backed by a map of competitor prices.
Read the full instructions (40 lines)
# Pricing Strategy Use this when setting prices, evaluating pricing models, preparing a pricing change, or comparing freemium and paid approaches. If the user shares competitor pricing, survey data, financial models, or usage data, read it first. Search for public competitor pricing when needed. ## 1. Understand the value - What is the core value proposition? - What is the customer's alternative, and what does it cost? - What measurable outcomes does the product deliver (time saved, revenue gained, cost reduced)? - What does that suggest about willingness to pay? ## 2. Pick a pricing model - Flat rate: simple products with predictable costs. - Per seat: collaboration and team tools. - Usage based: infrastructure and API products. - Tiered: products with distinct segments (Free, Pro, Enterprise). - Freemium: products with viral or network effects. - Freemium plus usage: platform products. - Value based: high-impact enterprise tools. ## 3. Map competitor pricing List competitor tiers and what each includes, place the product (premium, mid-market, budget), and note gaps and industry conventions. ## 4. Design the structure - Two to four tiers with clear differences. - Gate features by value, not arbitrary limits. - Choose the value metric you charge on (users, events, storage, calls). - Make the most popular tier the obvious choice. - Offer an annual discount, typically 15 to 20 percent. ## 5. Estimate price sensitivity With survey data, use the Van Westendorp questions: too cheap, cheap, expensive, too expensive. Without it, estimate from competitor prices and the value delivered. ## 6. Plan experiments Pricing page tests, founder sales conversations to probe willingness to pay, landing pages with different anchors, and conversion by price point over time. ## 7. Output A recommendation with the model, tiers and prices, the value metric, competitive position, the reasoning, risks, and the first experiments to run. Adapted from @phuryn's approach: https://github.com/phuryn/pm-skills/tree/main/pm-product-strategy/skills/pricing-strategy
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