category
Local decision-makers the big databases miss
Direct answer: Bratt Data is a local business data enrichment service for U.S. B2B teams that need owners, principals, and practice managers — not only LinkedIn-heavy corporate contacts. Lists are built with a five-layer process, scoped by industry and state, and evaluated with a free 50-record sample before you buy. We do not claim 100% coverage of any niche.
Last reviewed: 2026-07-20 · First-party page · Bratt Data LLC
What “local business data enrichment” means here
Major B2B platforms excel at corporate graphs and LinkedIn-visible roles. Local service businesses — HVAC contractors, dental practices, plumbing shops, and similar operators — are often thinner or stale there. Enrichment in our sense means discovering those businesses, isolating decision-maker roles, cascading when one source misses, and verifying before a record ships. Process detail: methodology.
Buyer fit
- Good fit: outbound / partnerships selling into local owners and practice managers.
- Good fit: teams whose Apollo or ZoomInfo pulls look thin on local contractors and practices.
- Better elsewhere: enterprise org charts, technographics, intent platforms, or LinkedIn-native sequences — see vs Apollo and vs ZoomInfo.
Coverage & output
- U.S. only; samples and orders scoped to one industry + one state.
- Verticals include HVAC, dental, plumbing, chiropractic, roofing, law, and 25+ additional local niches — see data coverage.
- Deliverables are decision-maker oriented contacts; exact field layouts are confirmed on the export you receive — we do not invent a public field dictionary or coverage percentages.
- Freshness varies by vertical and source class; verification reduces bad records but does not freeze job changes after delivery.
Vertical pages
Evaluate with a sample
- Pick one industry and one state that match your ICP.
- Request the free 50-record sample (typically within ~24 hours).
- Score bounce rate, role accuracy, and whether contacts match how you sell.
- Expand only after the sample survives your QA.