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]

Key Assumptions:

• [Assumption] → [How to test]

Risks:

• [Risk] → [Mitigation]

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

Further Reading

• Product Pricing Strategies 101

• The AI Product Pricing Masterclass: OpenAI Product Lead on Why SaaS Pricing Fails in AI (and How to Fix It) (video course)