Federal Contract Database → Lead Scoring → Outreach Sequence
Automatically identify government contractors similar to your ideal customers, score them based on contract history and risk factors, then trigger personalized outreach campaigns.
Workflow Steps
Clay
Scrape federal contract databases
Use Clay's web scraping to pull data from USASpending.gov and FedBizOpps for companies winning AI/tech contracts. Filter by contract size ($1M+), industry codes, and recent award dates.
OpenAI GPT-4
Analyze contract risk and fit
Send contract details to GPT-4 via API to score each company on: contract diversification (not DoD-dependent), growth trajectory, technology stack alignment, and regulatory risk factors. Output 1-10 score with reasoning.
Clay
Enrich company and contact data
For high-scoring companies (7+), use Clay's data enrichment to find decision-maker contacts, company size, recent funding, tech stack, and social media presence. Validate email addresses.
HubSpot
Create scored lead records
Import enriched data into HubSpot as new contacts and companies. Set lead score based on GPT-4 analysis, add contract history as custom properties, and assign to appropriate sales rep by territory.
Outreach.io
Launch personalized sequences
Trigger targeted email sequences based on lead score and risk profile. High-score/low-risk contacts get consultative approach, medium-score gets educational content, with contract-specific personalization.
Workflow Flow
Step 1
Clay
Scrape federal contract databases
Step 2
OpenAI GPT-4
Analyze contract risk and fit
Step 3
Clay
Enrich company and contact data
Step 4
HubSpot
Create scored lead records
Step 5
Outreach.io
Launch personalized sequences
Why This Works
Combines public contract data with AI analysis to identify the best prospects while avoiding the risks that sank Anthropic's deal. Automated scoring ensures you focus on diversified, lower-risk government contractors.
Best For
B2B SaaS companies selling to government contractors and wanting to avoid high-risk Pentagon-dependent clients
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