From memstack
Designs pricing tiers using cost-plus, value-based, and competitor-based models, applying psychology triggers and planning A/B price tests.
How this skill is triggered — by the user, by Claude, or both
Slash command
/memstack:pricing-strategyThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
*Designs pricing tiers using cost-plus, value-based, and competitor-based models with psychology triggers, tier structure templates, and A/B test plans.*
Designs pricing tiers using cost-plus, value-based, and competitor-based models with psychology triggers, tier structure templates, and A/B test plans.
When this skill activates, output:
Pricing Strategy — Designing pricing model...
Then execute the protocol below.
| Context | Status |
|---|---|
| User says "pricing strategy", "how to price", "pricing model" | ACTIVE |
| User says "tier structure" or "pricing psychology" | ACTIVE |
| User wants to design or redesign their pricing | ACTIVE |
| User wants competitor pricing comparison only | DORMANT — use Competitor Analysis |
| User wants to create an invoice | DORMANT — use Invoice Generator |
| Mistake | Why It's Wrong |
|---|---|
| "Price based on what it costs to make" | Customers pay for outcomes, not your expenses. Cost-plus leaves money on the table. |
| "Match the cheapest competitor" | Racing to the bottom kills margins. Differentiate on value, not price. |
| "Three tiers is always right" | Some products need 2 (simple choice), some need 4 (enterprise). Match tiers to buyer segments. |
| "Never raise prices" | Grandfathering old prices forever means your best customers pay the least. Raise annually. |
| "Free tier for everyone" | Free tiers attract non-buyers. Only use freemium if free users create viral growth. |
If the user hasn't provided details, ask:
- Product/service — what are you pricing? (SaaS, physical product, service, course)
- Costs — what does it cost to deliver? (COGS, hosting, labor)
- Target customer — freelancer, SMB, mid-market, or enterprise?
- Current pricing — is this a new product or a re-pricing?
- Competitors — what do alternatives cost?
- Value delivered — what outcome or ROI does the customer get?
| Model | Best For | How It Works |
|---|---|---|
| Cost-plus | Physical products, commodities | Cost × markup (e.g., 2.5x) |
| Value-based | SaaS, consulting, info products | Price = fraction of value delivered to customer |
| Competitor-based | Crowded markets with clear benchmarks | Position relative to market (below, at, or above) |
| Usage-based | API, infrastructure, metered services | Pay per unit (API call, GB stored, seat) |
| Freemium | PLG (product-led growth) SaaS | Free core + paid premium features |
| Flat rate | Simple products with one buyer type | One price, everything included |
Decision framework:
Can you quantify the ROI your product delivers?
├── Yes → Value-based pricing (capture 10-20% of customer's ROI)
└── No
├── Is the market well-established with clear price benchmarks?
│ ├── Yes → Competitor-based (position strategically)
│ └── No → Cost-plus (ensure margins, then test market willingness)
└── Does usage vary dramatically between customers?
└── Yes → Usage-based or hybrid (base + usage)
Cost-plus calculation:
Direct cost per unit: $[X]
Overhead allocation: $[X]
Total cost: $[X]
Target margin: [X]%
Price = Total cost ÷ (1 - margin%)
Example: $40 cost ÷ (1 - 0.70) = $133 price (70% margin)
Value-based calculation:
Customer's problem cost (annual): $[X]
Your product saves them: $[X]/year
Value capture rate: 10-20%
Price = Annual savings × capture rate
Example: $50,000 saved × 15% = $7,500/year ($625/mo)
Competitor-based positioning:
Cheapest competitor: $[X]/mo
Average competitor: $[X]/mo
Premium competitor: $[X]/mo
Your position:
- Below average → justify with "same features, lower price"
- At average → justify with "better UX/support/speed"
- Above average → justify with "more value/features/outcomes"
3-tier template (most common):
| Starter | Professional | Enterprise | |
|---|---|---|---|
| Target buyer | Freelancers, individuals | Small teams, SMBs | Large teams, companies |
| Price | $[X]/mo | $[X]/mo | Custom |
| Billing | Monthly or annual | Annual (15-20% discount) | Annual contract |
| Seats/usage | 1 user / [limit] | Up to [X] users / [limit] | Unlimited |
| Feature 1 | Basic | Full | Full |
| Feature 2 | — | Full | Full |
| Feature 3 | — | — | Full |
| Support | Priority email | Dedicated CSM | |
| SLA | — | — | 99.9% uptime |
Tier design rules:
Naming conventions:
| Tone | Tier 1 | Tier 2 | Tier 3 |
|---|---|---|---|
| Professional | Starter | Professional | Enterprise |
| Friendly | Free | Pro | Business |
| Creative | Solo | Team | Scale |
| Simple | Basic | Plus | Premium |
| Trigger | Implementation | Why It Works |
|---|---|---|
| Anchoring | Show the highest price first (or "value" price before actual price) | First number seen sets the reference point |
| Decoy effect | Make the middle tier the obvious best deal (closest to top tier, much cheaper) | The "bad deal" tier makes the target tier look irresistible |
| Charm pricing | $97, $197, $497 instead of $100, $200, $500 | Left-digit effect: $97 feels closer to $90 than $100 |
| Annual discount | "Save 20% with annual billing" — show monthly equivalent | Increases LTV, reduces churn, feels like a deal |
| Price framing | "$8/day" instead of "$249/month" | Smaller daily number is easier to justify |
| Loss aversion | "You're losing $X/month without this" instead of "Save $X/month" | Pain of loss is 2x stronger than joy of gain |
| Social proof at price | "Join 5,000+ teams on Pro" next to the tier | Reduces purchase anxiety at the moment of decision |
| Risk reversal | 30-day money-back guarantee prominently displayed | Removes fear of making the wrong choice |
| Urgency | "Launch price — increases to $[higher] on [date]" | Deadline accelerates decisions |
Pricing page layout (top to bottom):
What to test (priority order):
| Priority | Test | Expected Impact |
|---|---|---|
| 1 | Price point ($97 vs $127 vs $147) | High — directly affects revenue and conversion |
| 2 | Annual vs monthly default | Medium — affects LTV and churn |
| 3 | Tier naming and positioning | Medium — affects which tier people choose |
| 4 | Feature bundling across tiers | Medium — affects upgrade rate |
| 5 | Guarantee (30-day vs 60-day vs none) | Low-Medium — affects conversion confidence |
A/B test protocol:
Price sensitivity survey (Van Westendorp): Ask 50-100 target customers these four questions:
Plot the four curves — the intersection defines your acceptable price range.
If changing existing prices:
| Scenario | Approach |
|---|---|
| Price increase (existing customers) | Grandfather for 6-12 months, then migrate with 60-day notice |
| Price increase (new customers only) | Update pricing page immediately, existing stay on old plan |
| Adding a new tier | Launch the new tier, don't change existing tiers |
| Removing a tier | Migrate users to nearest tier, give 90-day notice |
| Switching pricing model | Run both models in parallel for 3-6 months |
Price increase email template:
Subject: Changes to your [Product] plan
Hi [Name],
We're updating our pricing on [date] to reflect [reason: new features, rising costs, improved value].
What's changing:
- [Plan] moves from $[old] to $[new]/month
What you get:
- [New feature/improvement 1]
- [New feature/improvement 2]
Your plan won't change until [date — 60+ days out].
If you have questions, reply to this email — I read every response.
[Name]
# Pricing Strategy — [Product Name]
## Pricing Model
- **Model:** [Value-based / Competitor-based / etc.]
- **Rationale:** [Why this model fits]
## Price Calculation
[Show the math — cost basis, value calculation, or competitor benchmarks]
## Tier Structure
[3-column tier comparison table]
## Pricing Page Layout
[Section-by-section wireframe description]
## Psychology Triggers Applied
[List of triggers used with implementation details]
## A/B Test Plan
[Priority-ordered test queue with metrics and duration]
## Migration Plan (if re-pricing)
[Timeline and communication plan]
Pricing Strategy — Complete!
Pricing model: [Model]
Tiers: [Count] ([names])
Recommended price range: $[low] — $[high]/mo
Psychology triggers: [Count] applied
A/B tests queued: [Count]
Next steps:
1. Validate with 10+ customer conversations before finalizing
2. Design pricing page using the layout above
3. Run Van Westendorp survey if unsure about price point
4. Launch with the A/B test plan to optimize within 30 days
5. Re-evaluate pricing quarterly
npx claudepluginhub cwinvestments/memstack --plugin memstackGuides pricing decisions, tier structure, packaging, and monetization strategy for SaaS products. Covers value-based pricing, pricing research, discount frameworks, and pricing experiments.
Guides SaaS pricing strategy: tiers, packaging, value metrics, price points, competitor analysis, and willingness-to-pay research.
Designs pricing, packaging, and monetization strategies using value-based frameworks, Van Westendorp analysis, and willingness-to-pay research.