/simulate-pricing-impact
Models pricing changes across cohorts, projecting ARR, margin, and adoption shifts.
$ npx -y skills add gtmagents/gtm-agents --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/simulate-pricing-impact
Context preview
What this command does when you run it.
Models pricing changes across cohorts, projecting ARR, margin, and adoption shifts.
Command definition
simulate-pricing-impact.mdname: simulate-pricing-impact
description: Models pricing changes across cohorts, projecting ARR, margin, and adoption shifts.
usage: /pricing-strategy:simulate-pricing-impact --scenario "+10% list" --segments "growth,enterprise" --metric seats --elasticity moderate
Command: simulate-pricing-impact
Inputs
- **scenario** – description of proposed change (e.g., "+10% list", "usage tier change").
- **segments** – comma-separated segments/cohorts to model.
- **metric** – pricing driver (seats, usage, API calls, storage).
- **elasticity** – conservative | moderate | aggressive modeling assumption.
- **experiment-window** – timeframe to measure post-launch impact.
Workflow
1. **Data Aggregation** – pull billing, usage, pipeline, and win/loss data for impacted cohorts. 2. **Elasticity Modeling** – apply elasticity assumptions, sensitivity bands, and attach-rate shifts. 3. **Scenario Simulation** – calculate ARR, margin, churn, and expansion impacts per segment. 4. **Risk & Opportunity Analysis** – highlight customer personas or regions most affected. 5. **Output Packaging** – assemble summary decks, spreadsheets, and recommendation notes.
Outputs
- Scenario comparison table (current vs proposed) with KPIs.
- Elasticity charts + cohort breakdowns.
- Recommendation brief for pricing council.
Agent/Skill Invocations
- `monetization-analyst` – runs modeling + analysis.
- `pricing-architect` – aligns assumptions with strategy.
- `deal-desk-partner` – surfaces field implications.
- `elasticity-lab` skill – provides modeling templates + guardrails.
- `pricing-governance` skill – logs approvals + next steps.
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Read more
name: simulate-pricing-impact description: Models pricing changes across cohorts, projecting ARR, margin, and adoption shifts. usage: /pricing-strategy:simulate-pricing-impact --scenario "+10% list" --segments "growth,enterprise" --metric seats --elasticity moderate
Command: simulate-pricing-impact
Inputs
- **scenario** – description of proposed change (e.g., "+10% list", "usage tier change").
- **segments** – comma-separated segments/cohorts to model.
- **metric** – pricing driver (seats, usage, API calls, storage).
- **elasticity** – conservative | moderate | aggressive modeling assumption.
- **experiment-window** – timeframe to measure post-launch impact.
Workflow
1. **Data Aggregation** – pull billing, usage, pipeline, and win/loss data for impacted cohorts. 2. **Elasticity Modeling** – apply elasticity assumptions, sensitivity bands, and attach-rate shifts. 3. **Scenario Simulation** – calculate ARR, margin, churn, and expansion impacts per segment. 4. **Risk & Opportunity Analysis** – highlight customer personas or regions most affected. 5. **Output Packaging** – assemble summary decks, spreadsheets, and recommendation notes.
Outputs
- Scenario comparison table (current vs proposed) with KPIs.
- Elasticity charts + cohort breakdowns.
- Recommendation brief for pricing council.
Agent/Skill Invocations
- `monetization-analyst` – runs modeling + analysis.
- `pricing-architect` – aligns assumptions with strategy.
- `deal-desk-partner` – surfaces field implications.
- `elasticity-lab` skill – provides modeling templates + guardrails.
- `pricing-governance` skill – logs approvals + next steps.
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