/segment-customers
Generates customer segmentation models, scoring logic, and activation briefs.
$ 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
/segment-customers
Context preview
What this command does when you run it.
Generates customer segmentation models, scoring logic, and activation briefs.
Command definition
segment-customers.mdname: segment-customers
description: Generates customer segmentation models, scoring logic, and activation briefs.
usage: /customer-analytics:segment-customers --goal "upsell" --inputs usage,firmographic --method hybrid --segments 5
Command: segment-customers
Inputs
- **goal** – business goal (upsell, retention, adoption, marketing efficiency).
- **inputs** – comma-separated data sources (usage, firmographic, revenue, support, survey).
- **method** – rules | clustering | hybrid.
- **segments** – target number of segments/personas to output.
- **activation** – optional channel focus (sales, cs, marketing, product).
Workflow
1. **Data Profiling** – evaluate selected inputs, quality, and coverage. 2. **Segmentation Design** – run clustering/heuristics, score stability, and interpretability. 3. **Scoring Logic** – define rules/weights for RevOps/data teams to implement. 4. **Persona Packaging** – craft segment personas with value props, risks, and KPIs. 5. **Activation Plan** – map segments to GTM plays, reporting, and refresh cadence.
Outputs
- Segmentation matrix (definition, criteria, size, key metrics).
- Scoring workbook/API spec with weights and thresholds.
- Activation brief aligning segments to plays/channels.
Agent/Skill Invocations
- `segmentation-architect` – leads modeling + documentation.
- `retention-analyst` – supplies usage/retention signals.
- `customer-insights-partner` – injects qualitative proof.
- `segmentation-framework` skill – provides templates + guardrails.
- `activation-map` skill – links segments to GTM workflows.
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Read more
name: segment-customers description: Generates customer segmentation models, scoring logic, and activation briefs. usage: /customer-analytics:segment-customers --goal "upsell" --inputs usage,firmographic --method hybrid --segments 5
Command: segment-customers
Inputs
- **goal** – business goal (upsell, retention, adoption, marketing efficiency).
- **inputs** – comma-separated data sources (usage, firmographic, revenue, support, survey).
- **method** – rules | clustering | hybrid.
- **segments** – target number of segments/personas to output.
- **activation** – optional channel focus (sales, cs, marketing, product).
Workflow
1. **Data Profiling** – evaluate selected inputs, quality, and coverage. 2. **Segmentation Design** – run clustering/heuristics, score stability, and interpretability. 3. **Scoring Logic** – define rules/weights for RevOps/data teams to implement. 4. **Persona Packaging** – craft segment personas with value props, risks, and KPIs. 5. **Activation Plan** – map segments to GTM plays, reporting, and refresh cadence.
Outputs
- Segmentation matrix (definition, criteria, size, key metrics).
- Scoring workbook/API spec with weights and thresholds.
- Activation brief aligning segments to plays/channels.
Agent/Skill Invocations
- `segmentation-architect` – leads modeling + documentation.
- `retention-analyst` – supplies usage/retention signals.
- `customer-insights-partner` – injects qualitative proof.
- `segmentation-framework` skill – provides templates + guardrails.
- `activation-map` skill – links segments to GTM workflows.
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Free AI automation for sales, marketing, and growth teams. No coding required.
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Open command - /plan-qbr
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Open command - /run-account-review
Produces a structured account review packet with health signals, risks, and expansion plays.
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