counties in the scoped footprint
What this means
Documented system design and scoped source footprint. The county count is a coverage plan, not a count of ingested counties.
By NextAutomation · Updated
System study / a Midwest manufactured-housing investor
Off-Market Deal Sourcing Software for CRE: 197 Counties, 14 Signals
A manufactured-housing sourcing engine connects county data, property scoring, owner research and broker documents.
The connected workflowThe opportunity, with its evidence attached.
Ranked property universeOwner research dossierBroker documents
01
Before / after
Less assembly. More connected work.
BeforeSeparate pieces
AfterShared context
- Ad hoc county searchesSource-specific coverage rules
- Unranked property lists14-signal property scoring
- Repeated document assemblyResearch reused in BOVs and OMs
02
Built around the work
The opportunity, with its evidence attached.
- 01
Access
County-by-county coverage
02Rank
14 sourcing signals
03Resolve
Public-record owner chain
04Produce
BOV, OM and market report
Your team reviews owner links and broker output.
03
What the team receives
Outputs the team can work with.
Ranked property universeEXAMPLE
- 01PriorityResearch first
- 02WatchMonitor signals
- 03BackgroundKeep on record
Connected source recordsFor team review
Ranked property universe
Research priorities based on recorded signals.
Owner research dossierEXAMPLE
- 01PropertyAssessor record
- 02Holding entityPublic filing
- 03Related personVerify connection
Connected source recordsFor team review
Owner research dossier
A traceable chain, with gaps marked.
Broker documentsEXAMPLE
Prepared from shared source records
01BOVValuation inputs
02Offering memoProperty record
03Market reportPipeline data
Connected source recordsFor team review
Broker documents
Reuse the same researched property record.
Illustrative output designs. Generated imagery, not actual client records or assets.
04
The record behind the story
What supports the story.
signals scored per property
What this means
Documented system design and scoped source footprint. The county count is a coverage plan, not a count of ingested counties.
county data-access tiers
What this means
Documented system design and scoped source footprint. The county count is a coverage plan, not a count of ingested counties.
BOV and OM generation
What this means
Documented system design and scoped source footprint. The county count is a coverage plan, not a count of ingested counties.
197 counties scoped. Access assessed individually.
Wisconsin72
Minnesota87
Iowa13
South Dakota10
North Dakota9
Nebraska6
AOpen data
BCounty portals
CLicensed sources
DManual or licensed
Scoped footprint, not guaranteed ingestion. Access restrictions, licensed data needs and coverage gaps remain explicit.
05
For your team
A similar system, built around you.
Best suited to
Brokerage and acquisition teams building proprietary deal flow
Your starting materials
- 01Buy box
- 02County access plan
- 03Property records
- 04Public filings
Connected around your processThe human decision
Your team stays in control.
Your team reviews owner links and broker output.
Ownership & implementation
Client-owned infrastructure, pipeline and records.
Licensed sources or manual review handle coverage gaps.
Before you build.
What counts as off-market deal sourcing software?
Software that finds acquisition candidates before they are listed: it ingests public and licensed data at scale, scores properties against your buy box, resolves owners, and hands your team a ranked, contactable list. The system is designed around a 197-county footprint, with source coverage and unresolved records made explicit.
Who owns the system and the data?
The client does. The engine was delivered on the client’s own infrastructure, with full governance of the system, the pipeline, and every record in it. That was a deliberate design requirement, not an afterthought.
How is the owner contact information kept accurate?
Owners are resolved from public records: state business registries, assessor mailing addresses and recorded deeds, then checked against a maintained registry of known properties. The resolution chain is handed over so the team can review how each connection was established. Parcels that do not resolve are marked unresolved rather than dialed, so the call list stays clean and nothing is invented to fill a gap.
Does this approach work outside manufactured housing?
Yes. The scoring signals and data sources are configured per asset class. The same architecture, ingest, score, resolve, generate, applies to multifamily, industrial, and land. See our multifamily off-market signals case study for a county-records variant.
Apply the evidence standard to your own mandate
Work through the owner-portfolio example before treating address or registered-agent overlap as a confirmed relationship.
To inspect the property-level output boundary, request an off-market sample for your geography and asset criteria.
See it on your workflow
What would this look like for your firm?
Book a tailored demo. We’ll walk through your process, the information you work with, and the outputs your team needs.
Three details, then choose your advisor and a time.