Quick answerOwner Leads Direct ships Grand Prairie, Texas owner contacts same-day. Mobiles, emails, revenue tier & funding flags. Salesforce-ready CSV. 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 Grand Prairie, TX owner contact list filtered to your exact ICP. The Grand Prairie 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. Grand Prairie pulls ship same-day during business hours as Salesforce-ready CSV or via API push on Enterprise tier.
Bank-statement summary and EIN are available on Enterprise-tier records that originated through MCA application activity. Bank-statement data includes: 3-month average daily balance band, average monthly gross revenue (rounded to $10K), presence of NSF flags (yes/no), and number of active banking relationships. EIN enables cross-referencing against IRS business databases, SBA loan history, and public lien / UCC filing data for deeper underwriting context.
| Field | Coverage on Grand Prairie 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 Prairie 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 Prairie 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.
For outreach budgeting, compare quantity multiplied by the stated unit rate with the listed pack total. The smallest aged-inquiry pack contains 2,000 records for $300. Delivery is manual after verification and quality control; it is not an instant download or an assurance that every record will answer, qualify or fund.
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Quality scoring and record-tier classification: each record receives a composite quality score based on: phone-line type (mobile > landline > VoIP), email validation status (deliverable > risky > undeliverable), record recency (days since last seen in an active data source), source-tier (MCA application > merchant-services partner > B2B data), and business-closure signal status (clear > flagged > confirmed closed). The score drives the source_tier field in the delivered schema, so you can sort your pull by quality descending and work the highest-confidence records first, then step down as your team needs volume.
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.
Salesforce Lead-object import: the standard Salesforce-ready CSV maps to the Lead object with the following field assignments: LastName/FirstName → owner name, Company → business_name, Phone → primary_phone, MobilePhone → secondary_phone (if mobile_confirmed), Email → email, Street/City/State/PostalCode/Country → address components, Industry → NAICS industry label, AnnualRevenue → revenue_band midpoint. A custom field "MCA_Application_Flag__c" is included in the column set — you'll need to create this custom field on your Salesforce Lead object before import, or remove the column before uploading.
Grand Prairie 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 Prairie-area business.
Yes — Grand Prairie pulls can be expanded to include adjacent metros and Texas suburbs at order time. Teams running TX territory often combine Grand Prairie with neighboring metros for full-state coverage.
Grand Prairie records include owner name, business name, primary phone, and — for most records — email, revenue band, year founded, and EIN where available. The Grand Prairie dataset spans 50+ industries from construction and trucking to restaurants, retail, and professional services. Filter by industry, revenue, or ZIP at order time.
Grand Prairie 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 Prairie pull.