Use when interpreting company-level enrichment data to segment accounts, spot buying triggers, and tailor outreach.
View on GitHubgtmagents/gtm-agents
data-enrichment-master
January 22, 2026
Select agents to install to:
npx add-skill https://github.com/gtmagents/gtm-agents/blob/main/plugins/data-enrichment-master/skills/firmographic-analysis/SKILL.md -a claude-code --skill firmographic-analysisInstallation paths:
.claude/skills/firmographic-analysis/# 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. ---