candidate-kb
Manage candidate knowledge base. Use when ingesting CVs, adding profile information, or querying candidate details for resume/cover letter generation.
Use when interpreting company-level enrichment data to segment accounts, spot buying triggers, and tailor outreach.
--- name: firmographic-analysis description: Use when interpreting company-level enrichment data to segment accounts, spot buying triggers, and tailor outreach. --- # 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. ------ name: firmographic-analysis description: Use when interpreting company-level enrichment data to segment accounts, spot buying triggers, and tailor outreach. --- # 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. ---
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.