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Scaling Shields reveals how to book 103 calls in 12 days by leveraging 6 public databases (USASpending, Crunchbase, BuiltWith, LinkedIn, SEC Edgar, G2) instead of Apollo, achieving 5-12% reply rates versus 0.5% through intent-based targeting. The strategy uses real-time signals like government contracts, funding rounds, and job postings to identify companies with confirmed budget and active buying intent.
Built for AI agentsACO · 968 tokens
Summary
Scaling Shields reveals how to book 103 calls in 12 days by leveraging 6 public databases (USASpending, Crunchbase, BuiltWith, LinkedIn, SEC Edgar, G2) instead of Apollo, achieving 5-12% reply rates versus 0.5% through intent-based targeting. The strategy uses real-time signals like government contracts, funding rounds, and job postings to identify companies with confirmed budget and active buying intent.
Tags
cold-email · lead-generation · b2b-sales · data-scraping · intent-signals · outbound-strategy
Key entities
James Shields (person, 0.95) · Apollo (technology, 0.95) · Crunchbase (technology, 0.95) · BuiltWith (technology, 0.95) · LinkedIn (technology, 0.95) · Clay (technology, 0.9) · Phantombuster (technology, 0.9) · Hunter (technology, 0.85) · G2 (technology, 0.95) · Capterra (technology, 0.9) · SEC Edgar (technology, 0.95) · USASpending.gov (technology, 0.95) · intent-signals (concept, 0.92) · ideal-customer-profile (concept, 0.9) · USA (location, 0.85)
Classification
tutorial · language en · status final
Provenance
claude-haiku-4-5 via @stacklist/be@0.1.0, confidence 0.85, 7 Aug 2026