MCPInstall

pricing-strategy

When the user wants help with pricing decisions, packaging, or monetization strategy. Use when the user mentions 'pricing,' 'pricing model,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'pricing strategy,' 'pricing experiments,' 'price anchoring,' 'enterprise pricing,' 'GTM pricing,' 'price setting,' 'value-based pricing,' 'revenue optimization,' or 'pricing psychology.' This skill covers pricing research, tier structure, packaging strategy, discount frameworks, upsell mechanics, and pricing experiments.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/manojbajaj95/claude-gtm-plugin --skill pricing-strategy
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads pricing-strategy automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Pricing Strategy

Workspace Context

Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.

Operating Contract

This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.

Expert guidance on SaaS pricing, value metrics, tier structure, pricing research, and monetization.

Before Starting

Gather: product type, target market (SMB/mid-market/enterprise), GTM motion (self-serve/sales-led/hybrid), primary value delivered, competitive pricing, current conversion rate and ARPU, pricing goals (growth vs. revenue vs. profitability).


Pricing Fundamentals

Three axes: Packaging (what's in each tier) + Value metric (what you charge for) + Price point (the amount).

Core principle: 1% improvement in pricing = 11% improvement in profit (McKinsey). Price to value, not cost.

Value-based pricing: Price between the next best alternative and perceived value. Cost is a floor, not a basis.

Perceived value of your solution: $1,000
Your price:                        $500  ← capture value here
Next best alternative:             $300  ← your floor
Your cost to serve:                 $50

Value calculation template:

Time savings: [hours/week × hourly rate × 52]
Revenue impact: [additional deals × deal value × 12]
Cost avoidance: [errors prevented × cost per error × 12]
Total annual value: $____

Suggested price: $[10% of value] – $[20% of value] / year

Pricing Models

ModelProsCons
Flat Rate ($99/mo, unlimited)Simple to sellLeaves money on table
Tiered (Starter/Pro/Business)Captures segments, clear upsellAnchor pricing matters
Usage-Based ($0.01/call)Perfect value alignment, low barrierUnpredictable revenue
Hybrid ($49/mo + $0.50/extra user)Predictable base + scalesMore complex to explain

Value Metrics

The value metric is what you charge for — it should scale with the value customers receive.

MetricBest ForExamples
Per user/seatCollaboration toolsSlack, Notion
Per usage/consumptionVariable workloadsAWS, Twilio
Per contact/recordCRM, email toolsMailchimp, HubSpot
Per transactionPayments, marketplacesStripe, Shopify
Flat feeSimple, bounded productsBasecamp
Revenue shareHigh-value outcome toolsAffiliate platforms

Choosing your metric: Analyze which usage patterns predict retention and expansion in your highest-LTV customers. If "more of X = more value," X is your metric.


Pricing Research Methods

Van Westendorp Price Sensitivity Meter

Ask 100–300 respondents four questions:

  1. Too expensive — would not buy
  2. Too cheap — would question quality
  3. Expensive but would consider
  4. Bargain / great value

Key intersections:

  • PMC (Point of Marginal Cheapness): "Too cheap" × "Expensive" → lower bound
  • PME (Point of Marginal Expensiveness): "Too expensive" × "Cheap" → upper bound
  • OPP (Optimal Price Point): "Too cheap" × "Too expensive" → best price
  • IDP (Indifference Price Point): "Expensive" × "Cheap" → acceptable midpoint

Acceptable range: PMC → PME. Optimal zone: OPP → IDP.

MaxDiff / Feature Importance

Show sets of 4–5 features; ask "most important" and "least important." Results rank features by utility score:

UtilityPackaging Decision
Top 20%Include in all tiers (table stakes)
20–50%Use to differentiate tiers
50–80%Higher tiers only
Bottom 20%Cut or premium add-on

Willingness to Pay

  • Gabor-Granger: Show price → "Would you buy at $X?" (Yes/No). Vary price across respondents to build demand curve.
  • Conjoint analysis: Show bundles at different prices; respondents choose preferred option.

Tier Structure

The Rule of 3: Starter (50–60% of customers) → Pro/sweet spot (30–40%) → Business/Enterprise (5–10%).

Anchor pricing: Middle tier 3–4× starter price; top tier 2–3× middle. This makes the middle tier the obvious choice.

Starter:  $29/mo  — core features, 5 users, email support
Pro:      $99/mo  — everything + integrations, 20 users, priority support  ← Most Popular
Business: $299/mo — everything + SSO, unlimited users, dedicated support

Good-Better-Best Framework

TierPurposePriceTarget
Good (Starter)Remove barriers to entryLow, accessibleSmall teams, trial converts
Better (Pro)Where most customers landAnchor priceGrowing teams
Best (Business)Capture high-value customers2–3× BetterLarger teams, power users

Feature Gating

What to gate:

  • Scale limits: users, projects, API calls, storage
  • Sophistication: advanced analytics, automations, integrations
  • Control: SSO/SAML, admin roles, audit logs, custom branding

Never gate: core functionality, security features, data export.


Freemium vs. Free Trial

FreemiumFree Trial
Best forPLG, wide top of funnelSales-led, high-ACV
Conversion2–5% free → paid15–25% trial → paid
RiskFree riders, support costShorter window to prove value
Use whenNetwork effects, viral growthComplex product needing onboarding

Pricing Psychology

  • Anchor effect: Show highest tier first to anchor perception
  • Charm pricing: $49 vs. $50 (perceived as significantly cheaper)
  • Decoy pricing: Add a "bad" middle option to push customers to "best"
  • Annual vs. monthly: Offer 15–20% discount for annual (improves LTV and reduces churn). Offer at signup, after 2–3 months, and during renewal
  • Per user transparency: Show total cost at common team sizes (e.g., "5 users = $X/mo")

Pricing Experiments

What to A/B test: Price points, tier packaging, billing frequency, free trial length, anchor tier.

Sample sizes: ~1,000 visitors/variant to detect 10% change; ~5,000 for 5% change.

Metrics to track: Conversion (trial → paid), ARPU, CAC, LTV, payback period.

Price increases: Raise every 12–18 months as you add value. Communicate 30+ days in advance. Grandfather existing customers for 12 months or offer annual lock-in at current price.


Revenue Expansion

Upsell triggers:

  • User hits usage limit → show upgrade prompt immediately
  • User clicks locked feature → show upgrade at moment of value
  • User active 30+ days on starter → "power user" upgrade nudge

Add-ons (use when a feature has standalone value not everyone needs):

Base plan: $99/mo
+ Extra users: $10/user/mo
+ Advanced analytics: $49/mo
+ White label: $99/mo
+ Priority support: $199/mo

Pricing by Segment

SegmentPrice PointSales MotionDecision MakerSales Cycle
SMB$29–99/moSelf-serveEnd user/team leadMinutes–days
Mid-Market$99–999/moSelf-serve + light touchDept headDays–weeks
Enterprise$1,000+/moHigh-touch salesVP/C-levelWeeks–months

Key Metrics

MetricHealthy Benchmark
Trial → Paid conversion>15%
MRR Growth (early stage)>10%/month
Churn Rate<5%/mo (SMB), <1%/mo (enterprise)
LTV:CAC>3:1
Payback Period<12 months
Net Revenue Retention>100%

Discount Framework

TypeTriggerRange
VolumeCommitment to scale10–30%
TermAnnual commitment15–25% (2 months free)
CompetitiveSwitching from competitor20–40%
StrategicReference customer / logo valueUp to 50%

Never discount when: customer hasn't articulated value, no competitive pressure, early in negotiation, or deal doesn't meet minimum size.

Alternatives to discounting: extended payment terms, additional services/training, extended trial, success milestone unlocks, multi-year lock-in.


Common Pricing Mistakes

  • Pricing on cost, not value
  • Too many tiers (analysis paralysis — stick to 3)
  • Feature gates customers don't care about
  • Gating core functionality (lock what makes your product worth using)
  • Complex value metric (users shouldn't need a calculator for their bill)
  • Ignoring price sensitivity by segment
  • Never testing or iterating on pricing
  • Burying the price page (hiding = distrust)

Price Increase Playbook

  1. Quantify value delivered since last price (new features, outcomes, benchmarks)
  2. Grandfather existing customers for 3–6 months (or 12 months for best customers)
  3. Communicate early (60-day notice minimum)
  4. Frame as investment not cost increase — tie to ROI
  5. Offer annual lock-in before increase date to capture cash
  6. Monitor churn closely for 90 days post-increase

Checklists

Launching pricing:

  • Pick value metric; design 3 tiers with anchor prices (3–4× between tiers)
  • Package features (60% / 85% / 100%); offer 14-day trial; set up billing

Optimizing pricing:

  • Track conversion rates by tier; survey customers on pricing perception
  • A/B test price points; add annual billing option; create in-app upgrade prompts
  • Monitor NRR; review pricing every 6–12 months

Deep-dive on pricing models, discount structures, and services pricing: see references/pricing.md

FAQ

What does the pricing-strategy skill do?

When the user wants help with pricing decisions, packaging, or monetization strategy. Use when the user mentions 'pricing,' 'pricing model,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'pricing strategy,' 'pricing experiments,' 'price anchoring,' 'enterprise pricing,' 'GTM pricing,' 'price setting,' 'value-based pricing,' 'revenue optimization,' or 'pricing psychology.' This skill covers pricing research, tier structure, packaging strategy, discount frameworks, upsell mechanics, and pricing experiments.

How do I install pricing-strategy?

Run npx skills add https://github.com/manojbajaj95/claude-gtm-plugin --skill pricing-strategy in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/pricing-strategy/ (personal) or .claude/skills/pricing-strategy/ (project).

Which AI agents can use pricing-strategy?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is pricing-strategy safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains pricing-strategy?

It is published by manojbajaj95 in manojbajaj95/claude-gtm-plugin. It has 245 recorded installs.

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