guia-matthieu/clawfu-skills/pricing-strategy

Pricing Strategy

Design products around price using Madhavan Ramanujam's "Monetizing Innovation" methodology—determine willingness to pay before you build, not after.

When to Use This Skill

Use this skill when you need to:

• Set pricing for a new product before or during development
• Validate willingness to pay before investing in features
• Structure pricing tiers (Good-Better-Best) for different segments
• Choose the right monetization model (subscription, usage-based, freemium, etc.)
• Diagnose why a product isn't monetizing as expected
• Avoid common pricing failures like leaving money on the table
• Communicate value in ways that justify your price
• Maintain price integrity after launch

This skill is particularly valuable for:

• Product managers designing new offerings
• Founders pricing SaaS or subscription products
• Teams launching into new markets or segments
• Companies suspecting they're underpricing
• Anyone who built first and is now struggling to monetize

Methodology Foundation

Source: Madhavan Ramanujam & Georg Tacke - Monetizing Innovation: How Smart Companies Design the Product Around the Price (2016)

Core Principle: Price determines product, not the other way around. Companies that design products around willingness to pay—rather than pricing as an afterthought—capture dramatically more value.

"Price isn't a number. It's the perceived value that your product holds for the customer."

What Claude Does vs What You Decide

What This Skill Does

When invoked, I will guide you through the Monetizing Innovation methodology:

1. Diagnose monetization risk by identifying which failure type threatens your product
2. Conduct willingness-to-pay research with the right questions
3. Segment customers by value perception, not demographics
4. Configure products using Leaders/Fillers/Killers and Good-Better-Best
5. Select the right monetization model for your business
6. Apply behavioral pricing tactics to optimize conversion
7. Build price integrity and avoid post-launch erosion

How to Use

Provide information about your pricing situation:

Example prompts:

• "Help me set pricing for my new B2B SaaS product"
• "I think we're underpricing our service—how do I validate and fix this?"
• "Design a Good-Better-Best pricing structure for our software"
• "What monetization model should I use for a developer tool?"
• "Our new product launched but sales are disappointing—diagnose the pricing"

Information that helps:

• Your product/service description
• Target customer segments
• Current pricing (if any)
• Competitor pricing landscape
• Key features and their perceived value
• Business model and goals
• Any existing willingness-to-pay data

Instructions

Phase 1: Diagnose Monetization Risk

Before setting prices, identify which failure type threatens your product:

The Four Types of Monetization Failure

Diagnostic Questions:

1. Have you validated willingness to pay with real customers?
2. Are you including features because customers will pay for them, or because you can build them?
3. Could any feature be a standalone paid product?
4. Is there evidence customers would pay more than your current price?

Phase 2: Conduct Willingness-to-Pay Research

Critical: This happens BEFORE product design is finalized, not after.

The Four Key Questions

Ask potential customers:

1. "What would be an acceptable price for [product]?"

• Establishes the comfort zone

1. "What would be an expensive price?"

• Identifies the premium threshold

1. "What would be a prohibitively expensive price?"

• Finds the ceiling

1. "Would you buy this at $X?"

• Tests specific price points

Follow every answer with: "Why?"

Research Methods

Pro Tips for WTP Conversations

• Position as a conversation about "value," not "pricing"
• Make 25% of questions "why" questions
• Look at distributions, not just averages (you may have distinct segments)
• Be precise: "Would you buy at $20?" not "Would you buy?"
• Test features individually to understand relative value

Phase 3: Segment by Willingness to Pay

Critical shift: Segment by needs and willingness to pay, NOT demographics.

Wrong segmentation:

• Small/Medium/Enterprise (by company size)
• Marketing/Sales/Product (by role)
• US/Europe/Asia (by geography)

Right segmentation:

• High-value seekers vs. budget-conscious buyers
• Power users vs. occasional users
• Self-service vs. high-touch support needs

Segmentation Process

1. Cluster by WTP data - Group customers with similar price sensitivity
2. Validate with behavior - Do they actually behave differently?
3. Ensure you can reach them - Can marketing/sales target this segment?
4. Keep it simple - Fewer segments is better (3-4 max)
5. Describe for action - Define segments so teams can sell to them

Phase 4: Configure Products with Leaders, Fillers, Killers

Identify Feature Types

Build Good-Better-Best Tiers

GOOD (Entry)          BETTER (Standard)       BEST (Premium)
━━━━━━━━━━━━━━        ━━━━━━━━━━━━━━━━        ━━━━━━━━━━━━━━━
Core Leaders only     Leaders + Key Fillers   All Leaders + Fillers
Self-service          Email support           Priority support
Basic limits          Generous limits         Unlimited/Custom
$X/month             $2-3X/month             $5-10X/month

Configuration Principles:

• Each tier appeals to a specific segment
• Don't give away too much in entry tier
• Clear differentiation between tiers
• Maximum 4 tiers, 9 benefits per tier
• Requires courage to remove features

Phase 5: Select the Right Monetization Model

Key insight: How you charge is often more important than how much.

Five Monetization Models

Model Selection Questions

1. Customer acceptance: Will customers accept this model?
2. Future-proofing: Does it work as the product evolves?
3. Company stage: Does it match your growth phase?
4. Competition: What are competitors doing?
5. Implementation: How hard is it to execute?

Hybrid Approaches

Many successful products combine models:

• Subscription + Usage: Base fee + overage charges
• Freemium + Subscription: Free tier + paid tiers
• One-Time + Recurring: License + maintenance fees

Phase 6: Apply Behavioral Pricing Tactics

"Behavioral pricing is the magic that happens when value pricing meets irrational customer psychology."

Six Proven Tactics

1. Compromise Effect When presented with 3 options, people choose the middle.

• Application: Design 3 tiers where the middle is most profitable
• Why it works: Reduces decision anxiety, feels "safe"

2. Anchoring First price seen influences all subsequent judgments.

• Application: Show highest-priced option first
• Why it works: Makes other options seem more reasonable

3. Price = Quality Signal Higher prices imply better quality.

• Application: Don't underprice premium offerings
• Why it works: Customers use price as shortcut for value

4. Razor/Razor Blades Low upfront cost, revenue from consumables/services.

• Application: Subsidize hardware, monetize software/services
• Why it works: Reduces adoption friction, locks in revenue

5. Pennies-a-Day Break prices into smallest time unit.

• Application: "$3/day" instead of "$90/month"
• Why it works: Makes large numbers feel manageable

6. Psychological Thresholds Prices just below round numbers convert better.

• Application: $99 vs $100, $999 vs $1,000
• Why it works: Perception stays in lower digit range

Phase 7: Maintain Price Integrity

"When your product launches and the market is less than enthusiastic, you'll feel pressure to cut the price. That's almost always a bad idea."

Why Price Cuts Hurt

• Signals diminished value - "It must not be worth what they said"
• Erodes profits - Margin compression, growth impact
• Reduces lifetime value - Customers expect future discounts
• Creates precedent - Sales team learns discounting works

The 3-Before-1 Rule

Before approving ANY price cut, require your team to propose 3 non-pricing solutions:

1. Better value communication
2. Improved targeting
3. Enhanced support/onboarding
4. Feature adjustments
5. Channel optimization

Post-Launch Discipline

• Be patient - Early results often improve with time
• Track more than revenue - Win/loss reasons, deal velocity, customer feedback
• Deconstruct deals - Understand why you won/lost
• War-game competition - Anticipate reactions before cutting price

Examples

Example 1: B2B SaaS Analytics Platform

Situation: Early-stage analytics tool, competitors range from free to enterprise

Willingness-to-Pay Research Findings:

• Segment A (Startups): WTP $29-79/month, need simplicity
• Segment B (Growth Companies): WTP $199-399/month, need integrations
• Segment C (Enterprise): WTP $999+/month, need security & support

Feature Analysis:

Tier Structure: