Skill

firmographic-analysis

Interprets firmographic enrichment data to normalize fields, score ICP fit, detect buying triggers like funding or hiring spikes, segment accounts, and recommend GTM/ABM outreach.

data-engineering

From data-enrichment-master

Install

Run in your terminal

npx claudepluginhub gtmagents/gtm-agents --plugin data-enrichment-master

Tool Access

This skill uses the workspace's default tool permissions.

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Stats

Parent Repo Stars138

Parent Repo Forks24

Last CommitNov 19, 2025

Actions

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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

Normalize Fields – ensure industry, size, revenue, region, and funding fields use consistent taxonomies.
Scoring Matrix – apply ICP scoring (industry fit, employee band, revenue, growth rate).
Trigger Detection – highlight events like funding, IPO prep, hiring spikes, geographic expansion.
Segment Mapping – assign each company to journey stages or playbooks (e.g., "High-growth SaaS 200-500").
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.