Quick answerDirect owner contacts for Grand Forks, North Dakota businesses across 50+ industries. Mobile phones, email, revenue & funding signal. Sample list available. Pulls ship same-day as CSV with owner mobile phones, business email, revenue band, NAICS, and funding-application signal on the majority of records. Filter by ZIP, county, industry, or revenue tier at order time. Free sample on request.
If your team works ND territory, the Grand Forks, North Dakota owner database is your single highest-leverage asset for outbound. Owner Leads Direct sources Grand Forks contacts through the same MCA partner network and B2B data partnerships that feed our nuclear industry-by-city silos — meaning Grand Forks records carry funding-intent signal that generic B2B databases (ZoomInfo, Apollo, Lusha, etc.) simply do not have for SMB Grand Forks merchants. Sample list available before commit; no minimum-spend trap on Starter tier.
Every pull includes NAICS 6-digit and SIC 4-digit industry classification plus an employee-count band (1–4, 5–9, 10–19, 20–49, 50–99, 100+), enabling you to cut strictly to owner-operated businesses (fewer than 10 employees) where the founder is still on the floor and likely funding decisions themselves. Year-founded adds the ability to target newly-formed businesses (high working-capital need) or mature operators (lower risk, higher ticket).
| Field | Coverage on Grand Forks pull |
|---|---|
| Owner first + last name | 100% |
| Business name + DBA | 100% |
| Direct phone (mobile-identified) | 100% phone, 60–75% mobile-confirmed |
| Business email | ~80% |
| Revenue band | ~85% |
| Funding-application signal | ~40% (MCA partner subset) |
| EIN / bank statements | Enterprise tier — varies |
Grand Forks coverage spans 50+ industries including construction, restaurants, retail, trucking, HVAC, medical practices, real estate, roofing, auto repair, cleaning services, landscaping, e-commerce, manufacturing, dental, and professional services. Filter by industry at quote time — most Grand Forks buyers slice by 1–3 verticals to focus their dialer scripts.
Business debt-relief advisors, factoring companies, and revenue-based-financing shops use the dataset to prospect businesses showing stress signals — MCA stacking interest, revenue contraction, or repeated short-term financing activity. The funding-application flag and last-funded-product-type field (where available) let these buyers pre-screen for operators who have already demonstrated openness to alternative capital, dramatically improving contact-to-conversation conversion.
The four one-time products are Aged Inquiry Data, Fresh Inquiry Data, Aged Submission Data and Full Fresh Submissions. Fresh inquiry data is approximately 0–30 days old; aged inquiries are approximately 31–180 days old. Full Fresh Submissions include previous-three-month bank-statement summaries, not promised original statement PDFs.
Get a Free Grand Forks Sample List →
B2B data partnership vetting: each B2B data partner undergoes a due-diligence review covering: data sourcing documentation, consent posture audit, CCPA/CPRA compliance certification, and a sample-data quality assessment (phone connect rate, email deliverability, business-closure rate). Partners who fail to maintain a phone-connect rate above a floor threshold or a business-closure rate below a ceiling are put on probation and removed if performance doesn't recover within 90 days. This is how we maintain quality at volume — not by buying the cheapest list available.
AI-agent and automated-communication disclosure obligations are expanding rapidly. As of 2026, California (SB 1001 + Cal. Bus. & Prof. § 17941), Utah (AI Policy Act), Colorado (Colorado AI Act), and Texas (TRAIGA) all impose varying disclosure requirements on businesses using AI agents in consumer- or business-facing communications. The FTC has also signaled enforcement interest in undisclosed AI personas. If your outbound uses AI-voice, synthesized speech, or a bot that can appear human, verify per-state disclosure requirements before deploying — penalties range from injunctive relief to per-violation fines.
Delivery formats: Salesforce-ready CSV (default — Lead-object column mapping), HubSpot-ready CSV (Contact-object mapping), generic CSV with raw field names, and JSON via API push on Enterprise tier. CSVs include a header row, UTF-8 encoding, and a data dictionary appendix mapping each column to its source-tier and definition. Average delivery is under 24 hours from signed quote — most orders fulfill same-day during business hours.
Grand Forks buyers include MCA brokers and funding shops, commercial lenders, equipment financiers, B2B sales teams selling into SMB, insurance agencies, merchant services providers, and data resellers. The dataset is built for any team that needs to reach the actual owner of a Grand Forks-area business.
Yes — Grand Forks pulls can be expanded to include adjacent metros and North Dakota suburbs at order time. Teams running ND territory often combine Grand Forks with neighboring metros for full-state coverage.
Grand Forks records include owner name, business name, primary phone, and — for most records — email, revenue band, year founded, and EIN where available. The Grand Forks dataset spans 50+ industries from construction and trucking to restaurants, retail, and professional services. Filter by industry, revenue, or ZIP at order time.
Grand Forks coverage spans 50+ verticals including construction, restaurants, retail, trucking, HVAC, medical practices, real estate, roofing, auto repair, cleaning services, landscaping, e-commerce, and more. Industry breakouts available at quote time for any Grand Forks pull.