pricing-strategy（定价策略）

Pricing Strategy

Production-grade SaaS pricing framework covering the three pricing axes (value metric, packaging, price point), value-based pricing methodology, tier architecture, pricing research methods, pricing page design, price increase execution, and competitive pricing positioning. Pricing is positioning -- the right price communicates as much about your product as your marketing does.

Use when

• The user asks to "design pricing", "set prices", or "choose a value metric"
• Pricing tiers need to be restructured (Good-Better-Best, add/remove tiers, repackage features)
• A price increase is planned and needs execution design (strategy, timing, communication, grandfathering)
• Conversion on the pricing page is flat or declining
• Freemium vs free trial decision needs to be made, or the freemium tier is cannibalizing paid
• Competitor pricing shifts require a positioning response
• The user says "our pricing feels off" or asks for a pricing audit

Table of Contents

• Operating Modes
• The Three Pricing Axes
• Value Metric Selection
• Tier Architecture
• Value-Based Pricing
• Pricing Research Methods
• Pricing Page Design
• Price Increase Playbook
• Freemium vs Free Trial Decision
• Competitive Pricing Analysis
• Pricing Signals and Diagnostics
• Output Artifacts
• Related Skills

Operating Modes

Mode 1: Design From Scratch

No pricing exists or full rebuild needed. Work through value metric, tier structure, price points, and page design.

• *Validate:* value metric chosen before tier design; tier design locked before price points; price points tested against the corridor before page design.

Mode 2: Optimize Existing Pricing

Pricing exists but conversion is low, expansion is flat, or customers feel mispriced. Audit, benchmark, and identify specific improvements.

• *Validate:* the diagnosis names a specific failure mode (e.g., "middle tier too narrow", "value metric doesn't scale") before any change is proposed.

Mode 3: Price Increase

Prices need to go up. Design a strategy that increases revenue without burning customer relationships.

• *Validate:* grandfather policy defined, communication window set (90+ days for annual customers), and expected churn modeled before sending the first notice.

The Three Pricing Axes

Every pricing decision lives across three axes. Most teams skip to price point. That is backwards.

     ┌──────────────────┐
     │   VALUE METRIC    │  What do you charge for?
     │  (how it scales)  │  (per seat, per usage, per feature)
     └────────┬─────────┘
              │
     ┌────────┴─────────┐
     │   PACKAGING       │  What is in each tier?
     │  (what you get)   │  (feature bundles, limits, support levels)
     └────────┬─────────┘
              │
     ┌────────┴─────────┐
     │   PRICE POINT     │  How much?
     │  (the number)     │  (actual dollar amount)
     └──────────────────┘

Lock in the value metric first, then packaging, then test the price point.

Value Metric Selection

Common Value Metrics

Selection Criteria

Answer these 4 questions:

Value Metric Red Flags

Tier Architecture

Good-Better-Best (3 Tiers)

Three tiers is the standard because it anchors perception.

Feature Allocation Framework

Tier Naming

Naming rules:

• Names should be instantly understandable
• Avoid jargon or made-up words
• The default/recommended plan should be visually highlighted

Value-Based Pricing

The Pricing Corridor

[Cost floor] ... [Next-best alternative] ... [YOUR PRICE] ... [Perceived value]

Step-by-Step

Step 1: Define the next-best alternative

• What would the customer do without your product?
• What does that cost them? (competitor, manual process, hiring)

Step 2: Estimate value delivered

• Time saved x hourly rate of the person using it
• Revenue generated or protected
• Cost of errors/risk avoided
• Ask customers: "What would you lose if you stopped using us?"

Step 3: Price in the corridor

• Price at 10-20% of documented value delivered
• Above the next-best alternative (signals confidence)
• Below the perceived value ceiling (customer feels good ROI)

Conversion Rate as a Pricing Signal

Pricing Research Methods

Van Westendorp Price Sensitivity Meter

Four questions asked to 30+ current customers or qualified prospects:

1. At what price would this be so cheap you would question its quality?
2. At what price would this be a great deal?
3. At what price would this start to feel expensive but still acceptable?
4. At what price would this be too expensive to consider?

Interpretation: Plot four curves. The intersection of "too cheap" and "too expensive" gives the acceptable range. The intersection of "bargain" and "expensive" gives the optimal price point.

MaxDiff Analysis

Show respondents sets of features and ask which they value most and least. Reveals relative value of each feature for tier allocation decisions.

When to use: Deciding which features go in which tier.

Competitor Benchmarking

Do not copy competitor prices. Their pricing reflects their cost structure and positioning, not yours.

Customer Willingness-to-Pay Interview

Ask existing customers (especially champions):

• "How would you describe the ROI of [product] to your CFO?"
• "What would you do if the price doubled? Tripled?"
• "What is the most you would pay before you would switch?"
• "If you had to cut 50% of your budget, would this survive?"

Pricing Page Design

Above the Fold

Required elements:

• Plan names with clear positioning
• Prices with monthly/annual toggle (annual shows savings: "Save 20%" or "2 months free")
• 3-5 bullet differentiators per plan
• CTA button per plan
• "Most Popular" or "Recommended" badge on the middle tier
• "Most Popular" plan should be the default tab/column

Below the Fold

• Full feature comparison table -- Comprehensive, scannable, uses checkmarks and X marks
• FAQ section -- The 5 objections that stop purchases:

1. "Can I cancel anytime?" 2. "What happens when I hit limits?" 3. "Do you offer refunds?" 4. "Is my data secure?" 5. "Can I switch plans later?"

• Social proof -- Logos, testimonials, case studies relevant to each tier
• Security badges -- SOC2, ISO 27001, GDPR (if applicable)

Annual vs Monthly Toggle

• Default to showing annual pricing (it improves LTV)
• Show savings explicitly: "Save 20%" or "$X/year (saves $Y)"
• Do NOT hide monthly pricing -- hiding it creates distrust
• Monthly/annual toggle should be above the plan cards

Enterprise Tier Design

Price Increase Playbook

Strategy Selection

Execution Timeline

Communication Template

Subject: "Changes to your [Product] plan"

• Paragraph 1: What is changing and when
• Paragraph 2: Why (new features, investment in X, market alignment)
• Paragraph 3: What this means for them specifically (old price -> new price)
• Paragraph 4: Options (lock in current price with annual, downgrade, contact support)
• CTA: "View your options" or "Talk to your account manager"

Expected Impact

For a 20-30% price increase:

• Expected churn: 5-15% of affected customers
• Revenue impact: Net positive if churn < (increase % / (100% + increase %))
• Example: 25% increase is net positive if churn < 20%

Freemium vs Free Trial Decision

Freemium Tier Design Rules

• Free tier must deliver real, ongoing value (not a crippled experience)
• The limit that triggers upgrade should be a natural success indicator
• Free users should be able to see what paid features look like (soft gates, previews)
• Do not remove value from free tier once established (erodes trust)

Competitive Pricing Analysis

Pricing Position Map

                    Premium ($$$)
                         │
                         │
     [Competitor B]      │    [Your Product?]
                         │
 Narrow ─────────────────┼──────────────────── Broad
 Feature Set             │                Feature Set
                         │
     [Competitor C]      │    [Competitor A]
                         │
                         │
                    Value ($)

Positioning Strategy

Pricing Signals and Diagnostics

Pricing Health Check

Output Artifacts

Tool Reference

1. pricing_model_analyzer.py

Analyzes a SaaS pricing model against best practices. Evaluates value metric alignment, tier architecture, feature allocation, and identifies pricing anti-patterns. Outputs a health scorecard with prioritized recommendations.

python scripts/pricing_model_analyzer.py pricing.json --format text
python scripts/pricing_model_analyzer.py pricing.json --format json

2. price_sensitivity_calculator.py

Implements the Van Westendorp Price Sensitivity Meter. Takes survey responses (too cheap, bargain, expensive, too expensive) and calculates the optimal price point, acceptable price range, and indifference price point.

python scripts/price_sensitivity_calculator.py survey.json --format text
python scripts/price_sensitivity_calculator.py survey.json --format json

3. price_increase_modeler.py

Models the revenue impact of price increases at various retention scenarios. Takes current customer base, pricing, and proposed increase, then projects revenue impact at 80%, 90%, and 100% retention with break-even analysis.

python scripts/price_increase_modeler.py increase.json --format text
python scripts/price_increase_modeler.py increase.json --format json

Troubleshooting

Success Criteria

• Trial-to-paid conversion rate stabilizes at 15-30% (healthy SaaS range) after pricing optimization
• Tier distribution shows healthy spread: 20-30% entry, 50-60% middle, 15-25% top tier
• Net revenue retention exceeds 110% (expansion revenue from upsells outpaces contraction)
• Price increase execution retains 85%+ of affected customers within 90 days
• Annual plan adoption reaches 50%+ when toggle defaults to annual pricing
• Van Westendorp survey confirms current price falls within the acceptable range for 70%+ of respondents
• Pricing page conversion rate improves by 15%+ after redesign implementing best practices

Scope & Limitations

In scope: Value metric selection, tier architecture design, price point research (Van Westendorp, competitor benchmarking, willingness-to-pay interviews), pricing page design specifications, price increase strategy and execution, freemium vs free trial decision frameworks, competitive pricing analysis and positioning, and pricing health diagnostics.

Out of scope: Pricing page visual design and CRO (use page-cro), in-app upgrade prompts and paywalls (use paywall-upgrade-cro), signup flow optimization after pricing page (use signup-flow-cro), churn intervention when churn is the root cause (use churn-prevention), and full competitive analysis beyond pricing (use competitive-teardown). Scripts do not integrate with billing systems (Stripe, Chargebee, etc.) or analytics platforms.

Limitations: Van Westendorp analysis requires minimum 30 survey respondents for statistical validity. Pricing benchmarks are based on aggregate SaaS industry data and vary significantly by vertical, company stage, and geography. Credit-based and usage-based pricing models (growing to 38% of SaaS in 2026) have different optimization dynamics than flat-rate or per-seat models. Price elasticity varies by customer segment -- enterprise buyers are less price-sensitive than SMB.

Integration Points

• page-cro -- Pricing page layout, CTA placement, and social proof design should follow page-cro best practices
• paywall-upgrade-cro -- In-app upgrade screens must reflect the same tier structure and messaging as the public pricing page
• competitive-teardown -- Competitive pricing data from teardowns feeds directly into pricing position map and tier design
• churn-prevention -- Churn analysis by price point and tier informs whether pricing is causing retention issues
• signup-flow-cro -- Signup flow design depends on pricing model (CC-required vs free trial vs freemium)
• revenue-operations -- GTM efficiency metrics (LTV:CAC, Magic Number) validate whether pricing supports unit economics

Anti-patterns

Related Skills

• page-cro -- Use for optimizing the pricing page conversion rate (layout, CTA, social proof). Not for pricing structure or tier design.
• churn-prevention -- Use when churn is the underlying issue. Fix retention before raising prices.
• competitive-teardown -- Use for comprehensive competitive analysis. Feed teardown pricing data into this skill.
• paywall-upgrade-cro -- Use for in-app upgrade prompts and paywalls. Different from public pricing page design.
• signup-flow-cro -- Use for optimizing the signup flow that follows pricing page conversion.