Sales Blueprint
Research Company Fit & Firmographics
Analyzes company size, industry, growth stage, and strategic positioning to score buyer fit.
What problem does this solve?
Scores company fit against your ICP by extracting and analyzing public signals from websites, team pages, and funding data. This removes the manual digging through dozens of browser tabs to assess whether a prospect is worth pursuing.
How does it work?
Run /sales research <url> or /sales icp <description>. The skill fetches the company homepage, extracts subpages (about, team, pricing, careers, blog), runs analyze_prospect.py to identify firmographics (size, industry, growth signals), and compares against your ICP definition. Output: scored research brief with fit percentage, industry classification, growth indicators, and key decision makers by role.
What's required to run this?
Uses beautifulsoup4 and requests for website scraping; fallback to basic HTML parsing if optional dependencies not installed. analyze_prospect.py extracts 23+ data points from public web presence.
Key Features
/sales-research
Extracts firmographics: company size, industry, founding date, funding stage, growth trajectory, tech stack
/sales-icp
Builds and refines your Ideal Customer Profile, then scores prospects against it
/sales-competitors
Maps competitive landscape and positioning relative to alternative solutions
/sales-quick
60-second snapshot of company fit for rapid triage
About This Blueprint
- Industry
- Sales & Revenue Operations
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Check Point Next Generation Firewalls (NGFWs)Ishani D.
Account Manager at G2