Quick answerReach the actual owner of any Binghamton-area business. Mobile phones, email & funding signal sourced through MCA partner and B2B data networks. 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.
Pull a fresh Binghamton, NY owner contact list filtered to your exact ICP. The Binghamton dataset on Owner Leads Direct spans construction, restaurants, retail, trucking, HVAC, medical practices, real estate, professional services, and 40+ additional verticals — every record carrying the owner's direct phone (mobile-identified where possible), business name, owner first/last name, and (in most cases) email plus revenue band. Binghamton pulls ship same-day during business hours as Salesforce-ready CSV or via API push on Enterprise tier.
Every record ships with: owner first and last name, business legal name, primary phone (mobile-identified where the source data supports it), business email for the majority of records, business address with ZIP, year founded, and revenue band (under $100K, $100K–$500K, $500K–$1M, $1M–$5M, $5M–$10M, $10M+). The subset of records sourced through our MCA partner network also includes a funding-application flag, last-application timestamp where available, and — for Enterprise customers — bank-statement summary and EIN.
| Field | Coverage on Binghamton 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 |
Binghamton 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 Binghamton buyers slice by 1–3 verticals to focus their dialer scripts.
Typical buyers: MCA shops and funding brokers prospecting working-capital deals, equipment financiers underwriting trucks/machinery/restaurant equipment, commercial lenders building term-loan pipelines, B2B SaaS reps selling vertical software (POS, scheduling, CRM, inventory), commercial insurance agencies writing P&C/workers'-comp lines, payment processors and ISO/MSP teams selling merchant accounts, and ROBS/SBA brokers building owner-direct outreach.
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.
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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.
Field mapping customization: if your CRM or dialer uses non-standard column names, request a custom field-mapping template at order time and we'll deliver your CSV with your column headers pre-applied. Common custom mappings include: renaming "owner_first_name" to "First Name" for Salesforce Lead upload, splitting the address into separate street/city/state/zip columns for dialers that import address components separately, and mapping revenue_band to a custom "Company Revenue" picklist. Custom mapping templates are stored on your account for all future orders.
Binghamton 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 Binghamton-area business.
Yes — Binghamton pulls can be expanded to include adjacent metros and New York suburbs at order time. Teams running NY territory often combine Binghamton with neighboring metros for full-state coverage.
Binghamton 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 Binghamton pull.
Binghamton records include owner name, business name, primary phone, and — for most records — email, revenue band, year founded, and EIN where available. The Binghamton dataset spans 50+ industries from construction and trucking to restaurants, retail, and professional services. Filter by industry, revenue, or ZIP at order time.