Choose a pricing model, tier structure, and monetization plan for a product. — Claude Skill
Une compétence Claude pour Claude Code par PluginAgent Marketplace — exécuter /pricing dans Claude·Mis à jour le 14 juin 2026·vmain@03e84ec
Helps product and business teams compare freemium, subscription, usage-based, tiered, and value-based pricing using value metrics, customer segments, and unit economics.
- Compares pricing models against customer value, adoption friction, revenue predictability, and operational complexity.
- Defines value metrics and tier boundaries so customers understand why they pay more.
- Checks monetization choices against LTV, CAC, payback, and expansion assumptions.
- Produces a pricing decision memo that non-finance stakeholders can review.
A team copies competitor pricing or picks a simple number without packaging logic.
Run /pricing to compare pricing models and design tiers around value, segments, costs, and expansion.
Pour qui
Ce qu'il fait
Pick an initial pricing model and tier structure before launch.
Redesign tiers when customers do not understand the upgrade path.
Compare freemium, subscription, and usage-based pricing for the same product.
Fonctionnement
Collect target customers, product value, current monetization, competitor anchors, costs, and growth goals.
Evaluate subscription, freemium, usage-based, tiered, and value-based options.
Choose value metrics, packaging logic, and tier boundaries.
Write the recommended pricing model, risks, launch test, and metrics to monitor.
Flag what finance, sales, support, and legal need to review before launch.
Options d'entrée
What customers get and which outcome they pay for.
Exemple
Product: onboarding analytics add-on. Customers: SMB teams and enterprise CS orgs. Value: finds stalled customer onboarding and shows executives which accounts need intervention. Current idea: $99/month flat add-on. Competitor anchors: $20-30 per user/month for broader onboarding platforms. Concerns: SMBs need easy entry; enterprises care about reporting, SSO, admin controls, and procurement. Need: pricing model recommendation, tier boundaries, risks, and launch test.
Use tiered subscription pricing tied to number of customer accounts monitored, not a flat add-on. The value metric should scale with the number of onboarding journeys the customer manages, which is easier to explain than per-seat pricing for an analytics add-on.
| Tier | Best for | Packaging logic | Watchout | |---|---|---|---| | Starter | SMB teams | Limited monitored accounts, core alerts, basic report | Keep entry price simple | | Growth | CS teams | More accounts, segment filters, trend reports, integrations | Main conversion tier | | Enterprise | Large orgs | SSO, admin controls, custom reporting, procurement support | Needs sales-assisted pricing |
A flat add-on may be easy to sell to small teams but underprices enterprise accounts and does not explain expansion. It also makes high-usage customers look artificially cheap.
Test Starter and Growth packaging with 10 SMB opportunities and 10 mid-market opportunities. Measure conversion, upgrade intent, discount requests, and whether buyers understand the monitored-account value metric.
Finance: confirm margin at expected usage. Sales: test upgrade language. Support: confirm whether higher tiers create onboarding burden. Legal: review Enterprise procurement and SSO terms.
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Pricing Skill
Develop effective pricing strategies and monetization models. Master value-based pricing, tier design, and revenue optimization.
Pricing Models
Freemium
Free Tier:
- Basic features
- Limited usage (100/month)
- Community support
Paid Tier ($X/month):
- All features
- Unlimited usage
- Priority support
Metrics:
- Free-to-paid conversion: 2-5%
- Time to convert: 7-30 days
Subscription (SaaS)
| Tier | Monthly | Annual | Features |
|---|---|---|---|
| Starter | $29 | $290 | Basic |
| Pro | $99 | $990 | + Analytics |
| Business | $299 | $2990 | + API |
| Enterprise | Custom | Custom | + SLA |
Usage-Based
Pricing Formula:
Base fee + (Usage × Per-unit rate)
Example (API):
$49 base + ($0.001 × API calls)
Pricing Strategy
Value-Based Pricing
Formula:
Your Price = (Customer Value Delivered) × (Capture Rate)
Example:
Customer saves $100K/year with your product
You capture 10% = $10K/year price
Price Sensitivity Analysis
Van Westendorp Method:
- At what price is this too expensive?
- At what price is this too cheap?
- At what price is this expensive but worth it?
- At what price is this a bargain?
Unit Economics
Key Metrics
LTV = ARPU × Gross Margin % / Churn %
Example:
$100 ARPU × 80% GM / 5% churn = $1,600 LTV
CAC Target: LTV/3 = $533 max CAC
Payback: 12 months max
Revenue Forecasting
Month | New MRR | Churn | Net New | Total MRR
------|---------|-------|---------|----------
1 | $10K | $0 | $10K | $10K
2 | $10K | $0.5K | $9.5K | $19.5K
3 | $12K | $1K | $11K | $30.5K
...
Troubleshooting
Yaygın Hatalar & Çözümler
| Hata | Olası Sebep | Çözüm |
|---|---|---|
| Low conversion | Price too high | A/B test lower price |
| High churn | Wrong segment | Re-segment, adjust ICP |
| Revenue flat | No upsell path | Add expansion revenue |
| Margin low | Cost structure | Optimize, raise prices |
Debug Checklist
[ ] LTV/CAC ratio > 3 mi?
[ ] Payback period < 12mo mu?
[ ] Gross margin > 70% mi?
[ ] Pricing tested with customers mi?
[ ] Competitor pricing analyzed mi?
Recovery Procedures
- Low Conversion → Price sensitivity research
- High Churn → Customer exit interviews
- Flat Revenue → Upsell/expansion strategy
Learning Outcomes
- Design effective pricing models
- Calculate unit economics
- Analyze price sensitivity
- Optimize monetization
- Forecast revenue impact
Documents de référence
name: pricing version: "2.0.0" description: Product pricing strategies, monetization models, and revenue optimization for SaaS and digital products. sasmp_version: "1.3.0" bonded_agent: 01-strategy-vision bond_type: PRIMARY_BOND parameters:
- name: pricing_model type: string enum: [freemium, subscription, usage_based, tiered, perpetual] required: true
- name: target_segment type: string enum: [smb, mid_market, enterprise, consumer] retry_logic: max_attempts: 3 backoff: exponential logging: level: info hooks: [start, complete, error]
Pricing Skill
Develop effective pricing strategies and monetization models. Master value-based pricing, tier design, and revenue optimization.
Pricing Models
Freemium
Free Tier:
- Basic features
- Limited usage (100/month)
- Community support
Paid Tier ($X/month):
- All features
- Unlimited usage
- Priority support
Metrics:
- Free-to-paid conversion: 2-5%
- Time to convert: 7-30 days
Subscription (SaaS)
| Tier | Monthly | Annual | Features |
|---|---|---|---|
| Starter | $29 | $290 | Basic |
| Pro | $99 | $990 | + Analytics |
| Business | $299 | $2990 | + API |
| Enterprise | Custom | Custom | + SLA |
Usage-Based
Pricing Formula:
Base fee + (Usage × Per-unit rate)
Example (API):
$49 base + ($0.001 × API calls)
Pricing Strategy
Value-Based Pricing
Formula:
Your Price = (Customer Value Delivered) × (Capture Rate)
Example:
Customer saves $100K/year with your product
You capture 10% = $10K/year price
Price Sensitivity Analysis
Van Westendorp Method:
- At what price is this too expensive?
- At what price is this too cheap?
- At what price is this expensive but worth it?
- At what price is this a bargain?
Unit Economics
Key Metrics
LTV = ARPU × Gross Margin % / Churn %
Example:
$100 ARPU × 80% GM / 5% churn = $1,600 LTV
CAC Target: LTV/3 = $533 max CAC
Payback: 12 months max
Revenue Forecasting
Month | New MRR | Churn | Net New | Total MRR
------|---------|-------|---------|----------
1 | $10K | $0 | $10K | $10K
2 | $10K | $0.5K | $9.5K | $19.5K
3 | $12K | $1K | $11K | $30.5K
...
Troubleshooting
Yaygın Hatalar & Çözümler
| Hata | Olası Sebep | Çözüm |
|---|---|---|
| Low conversion | Price too high | A/B test lower price |
| High churn | Wrong segment | Re-segment, adjust ICP |
| Revenue flat | No upsell path | Add expansion revenue |
| Margin low | Cost structure | Optimize, raise prices |
Debug Checklist
[ ] LTV/CAC ratio > 3 mi?
[ ] Payback period < 12mo mu?
[ ] Gross margin > 70% mi?
[ ] Pricing tested with customers mi?
[ ] Competitor pricing analyzed mi?
Recovery Procedures
- Low Conversion → Price sensitivity research
- High Churn → Customer exit interviews
- Flat Revenue → Upsell/expansion strategy
Learning Outcomes
- Design effective pricing models
- Calculate unit economics
- Analyze price sensitivity
- Optimize monetization
- Forecast revenue impact