💰 Pricing Strategy — Revenue-Optimized Pricing Design
Analyze pricing models, design tier structures, and apply pricing psychology for maximum conversion and revenue.
Activation
When this skill activates, output:
💰 Pricing Strategy — Designing your pricing architecture...
| Context |
Status |
| User says "pricing strategy", "how to price", "pricing model" |
ACTIVE |
| User wants to design tiers, set prices, or compare models |
ACTIVE |
| User asks about pricing psychology or A/B testing prices |
ACTIVE |
| User wants competitor pricing comparison |
DORMANT — see competitor-analysis |
| User wants to generate a client quote/proposal |
DORMANT — see quill skill |
Protocol
Step 1: Gather Inputs
Ask the user for:
- Product type: SaaS, physical product, service, digital product, info product
- Cost structure: COGS, delivery cost, fixed costs, marginal cost per unit
- Target market: B2B or B2C? Enterprise or SMB? Price-sensitive or value-driven?
- Competitor pricing: What do alternatives cost? (or use competitor-analysis output)
- Current pricing (if any): What are you charging now? What's working/not working?
Step 2: Analyze Pricing Models
Evaluate each model against the product type:
| Model |
Best For |
Pros |
Cons |
| One-time purchase |
Physical goods, digital downloads, lifetime tools |
Simple, high perceived value |
No recurring revenue, hard to upsell |
| Subscription (flat) |
SaaS, media, memberships |
Predictable revenue, high LTV |
Churn risk, feature bloat pressure |
| Tiered subscription |
SaaS, services with scaling needs |
Captures multiple segments, natural upsell |
Complexity, tier confusion |
| Freemium |
SaaS with network effects, tools |
Low barrier, viral growth |
Low conversion (2-5%), support cost |
| Usage-based |
APIs, infrastructure, consumables |
Fair perceived pricing, scales with value |
Unpredictable revenue, bill shock |
| Per-seat |
B2B collaboration tools |
Scales with customer size |
Seat-sharing workarounds, growth penalty |
| One-time + subscription |
Courses with community, hardware + service |
High initial revenue + recurring |
Complex messaging |
Recommend the top 1-2 models with justification for this specific product.
Step 3: Design Tier Structure
If tiered pricing is recommended, design 3 tiers (or recommend against tiers with rationale):
|
Starter |
Professional |
Enterprise |
| Price |
$X/mo |
$X/mo |
Custom |
| Target |
[who] |
[who] |
[who] |
| Feature 1 |
✅ |
✅ |
✅ |
| Feature 2 |
❌ |
✅ |
✅ |
| Feature 3 |
❌ |
❌ |
✅ |
| Limits |
[cap] |
[cap] |
Unlimited |
| Support |
Email |
Priority |
Dedicated |
Feature gating principles:
- Gate by volume/scale, not by crippling the product
- Each tier should feel complete for its target user
- Middle tier should be the obvious "best value" (most popular tag)
- Enterprise tier exists to anchor high value (and for actual enterprise)
Step 4: Apply Pricing Psychology
Recommend applicable techniques:
Anchor pricing (decoy effect):
- Add a tier that makes the target tier look like better value
- Example: $9 / $29 / $49 — the $49 tier makes $29 feel like a deal
Charm pricing:
- Use .99 or .97 endings for consumer products ($29.99 not $30)
- Use round numbers for premium/B2B ($500 not $499 — signals confidence)
Price framing:
- Annual billing: Show monthly equivalent ("Just $24/mo billed annually")
- Daily framing: "Less than $1/day" for monthly subscriptions
- ROI framing: "Saves 10 hours/month — that's $X at your hourly rate"
Comparison anchoring:
- Compare to alternatives: "vs $200/hr consultant"
- Compare to cost of problem: "vs $X,000 lost to [problem] per year"
Step 5: Calculate Minimum Viable Price
Determine the floor price:
Fixed costs (monthly) = $______
Variable cost per unit = $______
Target margin = ____%
Break-even volume = ______ units
Minimum price per unit = $______ (covers costs + margin)
Sanity check:
Market rate range = $______ – $______
Your floor price = $______
Recommended price = $______ (aim for top 30% of market)
Step 6: A/B Test Plan for Pricing
Recommend a testing approach:
- What to test: Price point, tier names, feature gating, annual vs monthly default
- How to test: Split traffic 50/50, minimum 2-week test, track conversion rate AND revenue (not just signups)
- Caution: Never show different prices to same user — use cohorts, time-based splits, or geographic segments
- Metrics: Conversion rate, revenue per visitor, LTV of each cohort
- Sequence: Test price point first → then tier structure → then psychology elements
Step 7: Output
Present the complete pricing strategy:
━━━ PRICING STRATEGY: [Product Name] ━━━━━━━
── RECOMMENDED MODEL ──────────────────────
Model: [name]
Rationale: [why this model fits]
── TIER STRUCTURE ─────────────────────────
[pricing table]
── PSYCHOLOGY APPLIED ─────────────────────
Anchor: [technique + example]
Framing: [technique + example]
Charm: [pricing format chosen]
── MINIMUM VIABLE PRICE ───────────────────
Floor: $[amount]
Recommended: $[amount]
Market range: $[low] – $[high]
── REVENUE PROJECTIONS ────────────────────
| Scenario | Conv Rate | Volume | Monthly Rev |
|----------|-----------|--------|-------------|
| Conservative | X% | N | $X,XXX |
| Moderate | X% | N | $X,XXX |
| Optimistic | X% | N | $X,XXX |
── A/B TEST PLAN ──────────────────────────
Test 1: [what to test + method]
Test 2: [what to test + method]
Inputs
- Product type and description
- Cost structure (fixed + variable)
- Target market characteristics
- Competitor pricing (or competitor-analysis output)
- Current pricing (if exists)
Outputs
- Pricing model recommendation with justification
- Tier structure with feature gating (if tiered)
- Pricing psychology techniques applied
- Minimum viable price calculation
- Revenue projections at 3 conversion scenarios
- A/B test plan for pricing validation
Level History
- Lv.1 — Base: 7-model pricing analysis, tier structure design with feature gating, pricing psychology toolkit (anchoring, charm, framing), minimum viable price calculation, revenue projections, A/B test plan for price validation. (Origin: MemStack v3.2, Mar 2026)
1---2name: pricing-strategy3description: Use when the user says 'pricing strategy', 'how to price', 'pricing model', 'tier pricing', 'pricing table', 'what to charge', or needs help setting prices for a product or service.4---567# 💰 Pricing Strategy — Revenue-Optimized Pricing Design8*Analyze pricing models, design tier structures, and apply pricing psychology for maximum conversion and revenue.*910## Activation1112When this skill activates, output:1314`💰 Pricing Strategy — Designing your pricing architecture...`1516| Context | Status |17|---------|--------|18| **User says "pricing strategy", "how to price", "pricing model"** | ACTIVE |19| **User wants to design tiers, set prices, or compare models** | ACTIVE |20| **User asks about pricing psychology or A/B testing prices** | ACTIVE |21| **User wants competitor pricing comparison** | DORMANT — see competitor-analysis |22| **User wants to generate a client quote/proposal** | DORMANT — see quill skill |2324## Protocol2526### Step 1: Gather Inputs2728Ask the user for:29- **Product type**: SaaS, physical product, service, digital product, info product30- **Cost structure**: COGS, delivery cost, fixed costs, marginal cost per unit31- **Target market**: B2B or B2C? Enterprise or SMB? Price-sensitive or value-driven?32- **Competitor pricing**: What do alternatives cost? (or use competitor-analysis output)33- **Current pricing** (if any): What are you charging now? What's working/not working?3435### Step 2: Analyze Pricing Models3637Evaluate each model against the product type:3839| Model | Best For | Pros | Cons |40|-------|----------|------|------|41| **One-time purchase** | Physical goods, digital downloads, lifetime tools | Simple, high perceived value | No recurring revenue, hard to upsell |42| **Subscription (flat)** | SaaS, media, memberships | Predictable revenue, high LTV | Churn risk, feature bloat pressure |43| **Tiered subscription** | SaaS, services with scaling needs | Captures multiple segments, natural upsell | Complexity, tier confusion |44| **Freemium** | SaaS with network effects, tools | Low barrier, viral growth | Low conversion (2-5%), support cost |45| **Usage-based** | APIs, infrastructure, consumables | Fair perceived pricing, scales with value | Unpredictable revenue, bill shock |46| **Per-seat** | B2B collaboration tools | Scales with customer size | Seat-sharing workarounds, growth penalty |47| **One-time + subscription** | Courses with community, hardware + service | High initial revenue + recurring | Complex messaging |4849Recommend the top 1-2 models with justification for this specific product.5051### Step 3: Design Tier Structure5253If tiered pricing is recommended, design 3 tiers (or recommend against tiers with rationale):5455| | Starter | Professional | Enterprise |56|---|---------|-------------|------------|57| **Price** | $X/mo | $X/mo | Custom |58| **Target** | [who] | [who] | [who] |59| **Feature 1** | ✅ | ✅ | ✅ |60| **Feature 2** | ❌ | ✅ | ✅ |61| **Feature 3** | ❌ | ❌ | ✅ |62| **Limits** | [cap] | [cap] | Unlimited |63| **Support** | Email | Priority | Dedicated |6465**Feature gating principles:**66- Gate by **volume/scale**, not by crippling the product67- Each tier should feel complete for its target user68- Middle tier should be the obvious "best value" (most popular tag)69- Enterprise tier exists to anchor high value (and for actual enterprise)7071### Step 4: Apply Pricing Psychology7273Recommend applicable techniques:7475**Anchor pricing (decoy effect):**76- Add a tier that makes the target tier look like better value77- Example: $9 / **$29** / $49 — the $49 tier makes $29 feel like a deal7879**Charm pricing:**80- Use .99 or .97 endings for consumer products ($29.99 not $30)81- Use round numbers for premium/B2B ($500 not $499 — signals confidence)8283**Price framing:**84- Annual billing: Show monthly equivalent ("Just $24/mo billed annually")85- Daily framing: "Less than $1/day" for monthly subscriptions86- ROI framing: "Saves 10 hours/month — that's $X at your hourly rate"8788**Comparison anchoring:**89- Compare to alternatives: "vs $200/hr consultant"90- Compare to cost of problem: "vs $X,000 lost to [problem] per year"9192### Step 5: Calculate Minimum Viable Price9394Determine the floor price:9596```97Fixed costs (monthly) = $______98Variable cost per unit = $______99Target margin = ____%100Break-even volume = ______ units101Minimum price per unit = $______ (covers costs + margin)102103Sanity check:104 Market rate range = $______ – $______105 Your floor price = $______106 Recommended price = $______ (aim for top 30% of market)107```108109### Step 6: A/B Test Plan for Pricing110111Recommend a testing approach:112- **What to test**: Price point, tier names, feature gating, annual vs monthly default113- **How to test**: Split traffic 50/50, minimum 2-week test, track conversion rate AND revenue (not just signups)114- **Caution**: Never show different prices to same user — use cohorts, time-based splits, or geographic segments115- **Metrics**: Conversion rate, revenue per visitor, LTV of each cohort116- **Sequence**: Test price point first → then tier structure → then psychology elements117118### Step 7: Output119120Present the complete pricing strategy:121122```123━━━ PRICING STRATEGY: [Product Name] ━━━━━━━124125── RECOMMENDED MODEL ──────────────────────126Model: [name]127Rationale: [why this model fits]128129── TIER STRUCTURE ─────────────────────────130[pricing table]131132── PSYCHOLOGY APPLIED ─────────────────────133Anchor: [technique + example]134Framing: [technique + example]135Charm: [pricing format chosen]136137── MINIMUM VIABLE PRICE ───────────────────138Floor: $[amount]139Recommended: $[amount]140Market range: $[low] – $[high]141142── REVENUE PROJECTIONS ────────────────────143| Scenario | Conv Rate | Volume | Monthly Rev |144|----------|-----------|--------|-------------|145| Conservative | X% | N | $X,XXX |146| Moderate | X% | N | $X,XXX |147| Optimistic | X% | N | $X,XXX |148149── A/B TEST PLAN ──────────────────────────150Test 1: [what to test + method]151Test 2: [what to test + method]152```153154## Inputs155- Product type and description156- Cost structure (fixed + variable)157- Target market characteristics158- Competitor pricing (or competitor-analysis output)159- Current pricing (if exists)160161## Outputs162- Pricing model recommendation with justification163- Tier structure with feature gating (if tiered)164- Pricing psychology techniques applied165- Minimum viable price calculation166- Revenue projections at 3 conversion scenarios167- A/B test plan for pricing validation168169## Level History170171- **Lv.1** — Base: 7-model pricing analysis, tier structure design with feature gating, pricing psychology toolkit (anchoring, charm, framing), minimum viable price calculation, revenue projections, A/B test plan for price validation. (Origin: MemStack v3.2, Mar 2026)
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