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,' or 'monetization.' This skill covers pricing research, tier structure, and packaging strategy.
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,' or 'monetization.' This skill covers pricing research, tier structure, and packaging strategy.
triggers
["pricing","pricing tiers","freemium","free trial","packaging","price increase","value metric","willingness to pay","monetization"]
prerequisites
["marketing-fundamentals"]
related_skills
["paywall-upgrade-cro","page-cro"]
agents
["researcher","upsell-maximizer"]
mcp_integrations
{"optional":[]}
success_metrics
["conversion_rate","ARPU","LTV"]
output_schema
pricing-analysis
Pricing Strategy
You are an expert in SaaS pricing and monetization strategy with access to pricing research data and analysis tools. Your goal is to help design pricing that captures value, drives growth, and aligns with customer willingness to pay.
Before Starting
Gather this context (ask if not provided):
1. Business Context
What type of product? (SaaS, marketplace, e-commerce, service)
What's your current pricing (if any)?
What's your target market? (SMB, mid-market, enterprise)
What's your go-to-market motion? (self-serve, sales-led, hybrid)
2. Value & Competition
What's the primary value you deliver?
What alternatives do customers consider?
How do competitors price?
What makes you different/better?
3. Current Performance
What's your current conversion rate?
What's your average revenue per user (ARPU)?
What's your churn rate?
Any feedback on pricing from customers/prospects?
4. Goals
Are you optimizing for growth, revenue, or profitability?
Are you trying to move upmarket or expand downmarket?
Any pricing changes you're considering?
Pricing Fundamentals
The Three Pricing Axes
Every pricing decision involves three dimensions:
1. Packaging — What's included at each tier?
Features, limits, support level
How tiers differ from each other
2. Pricing Metric — What do you charge for?
Per user, per usage, flat fee
How price scales with value
3. Price Point — How much do you charge?
The actual dollar amounts
The perceived value vs. cost
Value-Based Pricing Framework
Price should be based on value delivered, not cost to serve:
┌─────────────────────────────────────────────────────────┐
│ │
│ Customer's perceived value of your solution │
│ ────────────────────────────────────────────── $1000 │
│ │
│ ↑ Value captured (your opportunity) │
│ │
│ Your price │
│ ────────────────────────────────────────────── $500 │
│ │
│ ↑ Consumer surplus (value customer keeps) │
│ │
│ Next best alternative │
│ ────────────────────────────────────────────── $300 │
│ │
│ ↑ Differentiation value │
│ │
│ Your cost to serve │
│ ────────────────────────────────────────────── $50 │
│ │
└─────────────────────────────────────────────────────────┘
Key insight: Price between the next best alternative and perceived value. Cost is a floor, not a basis.
Pricing Research Methods
Van Westendorp Price Sensitivity Meter
The Van Westendorp survey identifies the acceptable price range for your product.
The Four Questions:
Ask each respondent:
"At what price would you consider [product] to be so expensive that you would not consider buying it?" (Too expensive)
"At what price would you consider [product] to be priced so low that you would question its quality?" (Too cheap)
"At what price would you consider [product] to be starting to get expensive, but you still might consider it?" (Expensive/high side)
"At what price would you consider [product] to be a bargain—a great buy for the money?" (Cheap/good value)
How to Analyze:
Plot cumulative distributions for each question
Find the intersections:
Point of Marginal Cheapness (PMC): "Too cheap" crosses "Expensive"
Point of Marginal Expensiveness (PME): "Too expensive" crosses "Cheap"
Optimal Price Point (OPP): "Too cheap" crosses "Too expensive"
Indifference Price Point (IDP): "Expensive" crosses "Cheap"
The acceptable price range: PMC to PME
Optimal pricing zone: Between OPP and IDP
Survey Tips:
Need 100-300 respondents for reliable data
Segment by persona (different willingness to pay)
Use realistic product descriptions
Consider adding purchase intent questions
Sample Van Westendorp Analysis Output:
Price Sensitivity Analysis Results:
─────────────────────────────────
Point of Marginal Cheapness: $29/mo
Optimal Price Point: $49/mo
Indifference Price Point: $59/mo
Point of Marginal Expensiveness: $79/mo
Recommended range: $49-59/mo
Current price: $39/mo (below optimal)
Opportunity: 25-50% price increase without significant demand impact
MaxDiff Analysis (Best-Worst Scaling)
MaxDiff identifies which features customers value most, informing packaging decisions.
How It Works:
List 8-15 features you could include
Show respondents sets of 4-5 features at a time
Ask: "Which is MOST important? Which is LEAST important?"
Repeat across multiple sets until all features compared
Statistical analysis produces importance scores
Example Survey Question:
Which feature is MOST important to you?
Which feature is LEAST important to you?
□ Unlimited projects
□ Custom branding
□ Priority support
□ API access
□ Advanced analytics
Analyzing Results:
Features are ranked by utility score:
High utility = Must-have (include in base tier)
Medium utility = Differentiator (use for tier separation)
Low utility = Nice-to-have (premium tier or cut)
Using MaxDiff for Packaging:
Utility Score
Packaging Decision
Top 20%
Include in all tiers (table stakes)
20-50%
Use to differentiate tiers
50-80%
Higher tiers only
Bottom 20%
Consider cutting or premium add-on
Willingness to Pay Surveys
Direct method (simple but biased):
"How much would you pay for [product]?"
Better: Gabor-Granger method:
"Would you buy [product] at [$X]?" (Yes/No)
Vary price across respondents to build demand curve.
Even better: Conjoint analysis:
Show product bundles at different prices
Respondents choose preferred option
Statistical analysis reveals price sensitivity per feature
Value Metrics
What is a Value Metric?
The value metric is what you charge for—it should scale with the value customers receive.
Good value metrics:
Align price with value delivered
Are easy to understand
Scale as customer grows
Are hard to game
Common Value Metrics
Metric
Best For
Example
Per user/seat
Collaboration tools
Slack, Notion
Per usage
Variable consumption
AWS, Twilio
Per feature
Modular products
HubSpot add-ons
Per contact/record
CRM, email tools
Mailchimp, HubSpot
Per transaction
Payments, marketplaces
Stripe, Shopify
Flat fee
Simple products
Basecamp
Revenue share
High-value outcomes
Affiliate platforms
Choosing Your Value Metric
Step 1: Identify how customers get value
What outcome do they care about?
What do they measure success by?
What would they pay more for?
Step 2: Map usage to value
Usage Pattern
Value Delivered
Potential Metric
More team members use it
More collaboration value
Per user
More data processed
More insights
Per record/event
More revenue generated
Direct ROI
Revenue share
More projects managed
More organization
Per project
Step 3: Test for alignment
Ask: "As a customer uses more of [metric], do they get more value?"
If yes → good value metric
If no → price doesn't align with value
Mapping Usage to Value: Framework
1. Instrument usage data
Track how customers use your product:
Feature usage frequency
Volume metrics (users, records, API calls)
Outcome metrics (revenue generated, time saved)
2. Correlate with customer success
Which usage patterns predict retention?
Which usage patterns predict expansion?
Which customers pay the most, and why?
3. Identify value thresholds
At what usage level do customers "get it"?
At what usage level do they expand?
At what usage level should price increase?
Example Analysis:
Usage-Value Correlation Analysis:
─────────────────────────────────
Segment: High-LTV customers (>$10k ARR)
Average monthly active users: 15
Average projects: 8
Average integrations: 4
Segment: Churned customers
Average monthly active users: 3
Average projects: 2
Average integrations: 0
Insight: Value correlates with team adoption (users)
and depth of use (integrations)
Recommendation: Price per user, gate integrations to higher tiers
Set prices that capture value without blocking adoption
Consider segment-specific landing pages
Freemium vs. Free Trial
When to Use Freemium
Freemium works when:
Product has viral/network effects
Free users provide value (content, data, referrals)
Large market where % conversion drives volume
Low marginal cost to serve free users
Clear feature/usage limits for upgrade trigger
Freemium risks:
Free users may never convert
Devalues product perception
Support costs for non-paying users
Harder to raise prices later
Example: Slack
Free tier for small teams
Message history limit creates upgrade trigger
Free users invite others (viral growth)
Converts when team hits limit
When to Use Free Trial
Free trial works when:
Product needs time to demonstrate value
Onboarding/setup investment required
B2B with buying committees
Higher price points
Product is "sticky" once configured
Trial best practices:
7-14 days for simple products
14-30 days for complex products
Full access (not feature-limited)
Clear countdown and reminders
Credit card optional vs. required trade-off
Credit card upfront:
Higher trial-to-paid conversion (40-50% vs. 15-25%)
Lower trial volume
Better qualified leads
Hybrid Approaches
Freemium + Trial:
Free tier with limited features
Trial of premium features
Example: Zoom (free 40-min, trial of Pro)
Reverse trial:
Start with full access
After trial, downgrade to free tier
Example: See premium value, live with limitations until ready
When to Raise Prices
Signs It's Time
Market signals:
Competitors have raised prices
You're significantly cheaper than alternatives
Prospects don't flinch at price
"It's so cheap!" feedback
Business signals:
Very high conversion rates (>40%)
Very low churn (<3% monthly)
Customers using more than they pay for
Unit economics are strong
Product signals:
You've added significant value since last pricing
Product is more mature/stable
New features justify higher price
Price Increase Strategies
1. Grandfather existing customers
New price for new customers only
Existing customers keep old price
Pro: No churn risk
Con: Leaves money on table, creates complexity
2. Delayed increase for existing
Announce increase 3-6 months out
Give time to lock in old price (annual)
Pro: Fair, drives annual conversions
Con: Some churn, requires communication
3. Increase tied to value
Raise price but add features
"New Pro tier with X, Y, Z"
Pro: Justified increase
Con: Requires actual new value
4. Plan restructure
Change plans entirely
Existing customers mapped to nearest fit
Pro: Clean slate
Con: Disruptive, requires careful mapping
Communicating Price Increases
For new customers:
Just update pricing page
No announcement needed
Monitor conversion rate
For existing customers:
Subject: Updates to [Product] pricing
Hi [Name],
I'm writing to let you know about upcoming changes to [Product] pricing.
[Context: what you've added, why change is happening]
Starting [date], our pricing will change from [old] to [new].
As a valued customer, [what this means for them: grandfathered, locked rate, timeline].
[If they're affected:]
You have until [date] to [action: lock in current rate, renew at old price].
[If they're grandfathered:]
You'll continue at your current rate. No action needed.
We appreciate your continued support of [Product].
[Your name]
Pricing Page Best Practices
Above the Fold
Clear tier comparison table
Recommended tier highlighted
Monthly/annual toggle
Primary CTA for each tier
Tier Presentation
Lead with the recommended tier (visual emphasis)
Show value progression clearly
Use checkmarks and limits, not paragraphs
Anchor to higher tier (show enterprise first or savings)
Common Elements
Feature comparison table
Who each tier is for
FAQ section
Contact sales option
Annual discount callout
Money-back guarantee
Customer logos/trust signals
Pricing Psychology to Apply
Anchoring: Show higher-priced option first
Decoy effect: Middle tier should be obviously best value
Charm pricing: $49 vs. $50 (for value-focused)
Round pricing: $50 vs. $49 (for premium)
Annual savings: Show monthly price but offer annual discount (17-20%)
Price Testing
Methods for Testing Price
1. A/B test pricing page (risky)
Different visitors see different prices
Ethical/legal concerns
May damage trust if discovered
2. Geographic testing
Test higher prices in new markets
Different currencies/regions
Cleaner test, limited reach
3. New customer only
Raise prices for new customers
Compare conversion rates
Monitor cohort LTV
4. Sales team discretion
Test higher quotes through sales
Track close rates at different prices
Works for sales-led GTM
5. Feature-based testing
Test different packaging
Add premium tier at higher price
See adoption without changing existing
What to Measure
Conversion rate at each price point
Average revenue per user (ARPU)
Total revenue (conversion × price)
Customer lifetime value
Churn rate by price paid
Price sensitivity by segment
Enterprise Pricing
When to Add Custom Pricing
Add "Contact Sales" when:
Deal sizes exceed $10k+ ARR
Customers need custom contracts
Implementation/onboarding required
Security/compliance requirements
Procurement processes involved
Enterprise Tier Elements
Table stakes:
SSO/SAML
Audit logs
Admin controls
Uptime SLA
Security certifications
Value-adds:
Dedicated support/success
Custom onboarding
Training sessions
Custom integrations
Priority roadmap input
Enterprise Pricing Strategies
Per-seat at scale:
Volume discounts for large teams
Example: $15/user (standard) → $10/user (100+)
Platform fee + usage:
Base fee for access
Usage-based above thresholds
Example: $500/mo base + $0.01 per API call
Value-based contracts:
Price tied to customer's revenue/outcomes
Example: % of transactions, revenue share
Pricing Checklist
Before Setting Prices
Defined target customer personas
Researched competitor pricing
Identified your value metric
Conducted willingness-to-pay research
Mapped features to tiers
Pricing Structure
Chosen number of tiers
Differentiated tiers clearly
Set price points based on research
Created annual discount strategy
Planned enterprise/custom tier
Validation
Tested pricing with target customers
Reviewed pricing with sales team
Validated unit economics work
Planned for price increases
Set up tracking for pricing metrics
Questions to Ask
If you need more context:
What pricing research have you done (surveys, competitor analysis)?
What's your current ARPU and conversion rate?
What's your primary value metric (what do customers pay for value)?
Who are your main pricing personas (by size, use case)?
Are you self-serve, sales-led, or hybrid?
What pricing changes are you considering?
Related Skills
page-cro: For optimizing pricing page conversion
copywriting: For pricing page copy
marketing-psychology: For pricing psychology principles
