gtm-pricing
SKILL.md
/gtm-pricing — Pricing & Monetization
Design pricing models, tier structures, deal desk guidance, expansion revenue strategy, and pricing communication plans.
When to Use
- User says "pricing", "monetization", "packaging", "tiers", "how should we price"
- Designing pricing from scratch or restructuring existing pricing
- Need deal desk guidance for enterprise sales
- Planning a price increase or expansion revenue strategy
Before Starting
Check for existing context:
- Read
projects/<project>/gtm-context.md— master context - Read
projects/<project>/positioning.md— positioning drives pricing - Read
projects/<project>/icp-personas.md— willingness to pay varies by persona - Read
projects/<project>/competitive-intel.md— competitive pricing data - Read
projects/<project>/gtm-strategy.md— sales model affects pricing
If gtm-context.md does not exist, ask for basics. Positioning is critical — flag if missing.
Process
Step 1: Intake — Pricing Context
AskUserQuestion:
question: "What's driving this pricing work?"
header: "Situation"
options:
- label: "New product"
description: "Setting pricing for the first time"
- label: "Restructure"
description: "Current pricing isn't working — too complex, wrong model, or wrong price"
- label: "Price increase"
description: "Need to raise prices — planning the how"
- label: "AI product"
description: "Pricing an AI product with variable cost structure"
Then gather:
- Product/service, business model, current pricing (if any)
- Cost structure (fixed costs, variable costs, margins)
- Typical deal size and buyer (SMB, mid-market, enterprise)
- Value delivered (time savings, cost savings, revenue impact — be specific)
- Competitors' pricing (reference competitive intel if available)
- Current challenges with pricing
Step 2: Research — Parallel Pricing Intelligence
Launch 2 agents IN PARALLEL:
Agent 1 — Competitor Pricing Analysis
Task(subagent_type: "general-purpose", model: "sonnet", description: "Research competitor pricing")
prompt: Research pricing for competitors in [SPACE]. Competitors: [LIST].
For each: pricing model, price points, tier structure, free tier/trial, enterprise pricing approach.
Also research pricing page design patterns. Return structured comparison.
Agent 2 — Pricing Model Patterns
Task(subagent_type: "general-purpose", model: "sonnet", description: "Research pricing models")
prompt: Research pricing models for [PRODUCT TYPE] selling to [AUDIENCE].
Which models work best (per-seat, usage, outcome-based, tiered, freemium)?
Examples of successful pricing in this category. Common mistakes.
Return analysis with recommendations.
Step 3: Synthesize — Pricing Strategy
1. Pricing Model Recommendation
Apply the Ramanujam 2x2:
- Attribution (can you measure value per unit?) × Autonomy (does AI/product work independently?)
- Low/Low → Per-seat or flat fee
- Low/High → Subscription tiers
- High/Low → Usage-based
- High/High → Outcome-based (ideal for AI)
Recommend model with rationale.
2. Tier Structure (3-4 tiers max) For each tier:
- Name — Named after the customer persona, not features
- Target persona — Who this tier is for
- Price — With annual/monthly breakdown
- Value metric — What scales with usage
- Key features — What's included (and what's not)
- Limits — Usage caps or seat limits
- Upgrade trigger — What naturally pushes them to the next tier
3. Value Story Contextualize the price against value:
- Time savings: "X hours saved per week = $Y in productivity"
- Cost savings: "Replaces $Z in tools/headcount"
- Revenue impact: "Customers see X% increase in [metric]"
- Ratio test: Price should be < 10% of value delivered
4. Pricing Page Strategy
- Page structure and anchoring strategy
- Which tier to highlight as recommended
- Annual vs. monthly presentation
- Enterprise "Contact Us" approach
- Social proof placement
- FAQ for common pricing objections
5. Deal Desk Guidance
- Discounting guardrails (max discount, who can approve)
- Negotiation playbook (gives and gets per Ramanujam)
- Packaging for procurement (multi-year, prepayment, volume)
- When to hold firm vs. flex on price
- Custom enterprise pricing framework
6. Expansion Revenue Design
- Upgrade triggers by tier (what signals readiness for next tier)
- Upsell paths (additional seats, features, usage)
- Cross-sell strategy (complementary products/services)
- NRR target and how to achieve it
7. Pricing Communication Strategy
- How to announce new pricing or changes
- How to handle objections to price
- Price increase playbook (timing, messaging, grandfathering)
- Sales talk track for pricing conversations
Step 4: Validate
AskUserQuestion:
question: "Does this pricing approach feel right?"
header: "Pricing Review"
options:
- label: "Looks right"
description: "Model and structure make sense — finalize"
- label: "Too expensive"
description: "Worried about pricing ourselves out of the market"
- label: "Too cheap"
description: "Think we're leaving money on the table"
- label: "Wrong model"
description: "The pricing model doesn't fit our product/market"
Step 5: Save
Save to: projects/<project>/pricing.md
Methodology
See references/pricing-frameworks.md for Ramanujam, Campbell, and Ionita frameworks.
Output
Saves to: projects/<project>/pricing.md
Next Steps
- Need outreach with pricing? →
/gtm-outreach - Need a pitch? → Build pricing into sales narrative
- Need a landing page? → Use pricing page strategy for landing page design
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