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firmographic-analysis

firmographic-analysis

github.com/gtmagentsMarketing & growth42869 installsUpdated 30w ago
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About firmographic-analysis

A firmographic-analysis skill for go-to-market teams prioritizing accounts, building segments, and checking enriched company data. It combines standardized fields, ICP scoring, trigger detection, and segment-specific recommendations.

Key features

  1. 01Firmographic field normalization
  2. 02ICP scoring matrix
  3. 03Company trigger detection
  4. 04Journey and playbook mapping
  5. 05Persona and value-proposition recommendations

Use cases

  1. 01Prioritizing enriched accounts for GTM
  2. 02Building ABM or territory segments
  3. 03Tailoring campaigns to company segments
  4. 04Checking firmographic data quality

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/gtmagents/gtm-agents --skill firmographic-analysis

After installing, type/firmographic-analysisin Claude Code to confirm it loaded.

Details

From the project README

Firmographic Analysis Skill

When to Use

  • Prioritizing enriched accounts for GTM plays.
  • Building segments for ABM, territory planning, or personalized campaigns.
  • Validating enriched firmographic data quality.

Framework

  1. Normalize Fields – ensure industry, size, revenue, region, and funding fields use consistent taxonomies.
  2. Scoring Matrix – apply ICP scoring (industry fit, employee band, revenue, growth rate).
  3. Trigger Detection – highlight events like funding, IPO prep, hiring spikes, geographic expansion.
  4. Segment Mapping – assign each company to journey stages or playbooks (e.g., "High-growth SaaS 200-500").
  5. Recommendation Output – produce persona targets, value props, and urgency level per segment.

Templates

  • Segment summary table (columns: segment, criteria, TAM, coverage owner, next action).
  • Trigger event log with timestamps/source, impact rating, and follow-up play.
  • Messaging workbook mapping persona × segment × proof points for instant enablement pulls.

Tips

  • Keep taxonomy dictionaries centrally managed so enrichment jobs and analytics share the same lookups.
  • Re-score accounts quarterly or after major firmographic events (funding, layoffs) to keep priorities fresh.
  • Pair quant scores with qualitative notes from AEs/CSMs to avoid over-rotating on enrichment data alone.

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