Explore the database

Search & filter the prospect universe

Generated 2026-06-30. A real, unenriched database of 5,987 organizations built entirely from public data. Filter by vertical and state, sort by size, and search by name or city. The full set loads in the background; rows paint a page at a time.

VerticalData sourceSample pulledTotal universeDescription
Community Colleges full NCES IPEDS Directory & Fall Enrollment (2022) via Urban Institute Education Data API 905 905 All public 2-year institutions (IPEDS sector=4, public control) in the 2022 directory; enrollment is total fall headcount where IPEDS reported it.
K-12 Districts sample NCES Common Core of Data (CCD) LEA Directory 2021 via Urban Institute Education Data API 500 13,094 Largest 500 regular local school districts (agency_type=1) by enrollment out of 13094 with reported enrollment; capped for site size.
Community Hospitals sample CMS Hospital General Information (Provider Data Catalog) 2,386 5,432 General acute-care hospitals with voluntary non-profit or government ownership. Bed counts are not in this CMS file, so size shows ownership type instead.
Credit Unions sample NCUA Quarterly Call Report Data (2024-12) 2,196 4,550 Federally insured credit unions with total assets between $50M and $2B (ICP band), out of 4550 active filers in the Dec-2024 call report.
Full coverage where the universe is small; ICP-filtered or capped working samples where it's large. Completing any pull is the same public data, at $0.

From raw list to closed deal: the full workflow

The table above is step 1's output. Everything after it is how that public list becomes booked revenue, with paid tooling applied only to scored, prioritized records.

1

Public datasets → the raw universe

Pull NCES IPEDS/CCD, CMS, NCUA, and IRS files. Yields: organization name, mailing address, city/state, main phone, website, and the size signal (enrollment / beds / assets): the 5,987 rows in the table above.

2

Enrich with contact info Apollo · ZoomInfo · Clay

Append the decision-maker's work email and direct dial. Clay orchestrates the waterfall (try one provider, fall back to the next) to maximize match rate. Yields: name, title, work email, direct dial.

3

Buy board-member contact data & associate to the record BookYourData.com

Purchase a targeted board-member / governance-role contact list and join it back to each organization in the database, so the record carries the actual board contacts, not just the org's front office.

4

Score by sizing (the ICP fit filter)

Keep only records inside each vertical's sweet spot; everything else is parked as monitor/drip.

  • Community Colleges: public 2-year & enrollment 2,000–20,000
  • K-12 Districts: regular local district & enrollment 1,000–50,000
  • Hospitals: nonprofit / government & general acute-care & 25–400 beds
  • Credit Unions: $50M–$2B in assets
5

Layer in trigger events Predictleads · UserGems · Champify

Hiring- and job-change monitoring surfaces the "why now": a new president/superintendent/CEO, or a fresh "Board Coordinator / Clerk" posting. Records with a live trigger jump to Tier A.

6

Outbound

Multi-channel against the scored, triggered list: cold call, cold email, direct mail, and bitstream / IP-based retargeting ads, sequenced to the vertical's buyer.

7

Sales: presentation → offer → close

Warm, vertical-context-rich handoff to Sales for the demo, the tailored offer, and the close. The whole pipeline exists to make this conversation land.

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