Quick answerPull a fresh St. George, UT owner list filtered by industry, revenue or ZIP. Direct mobiles, email & funding-app flags. Sample on request. 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 St. George, UT owner contact list filtered to your exact ICP. The St. George 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. St. George pulls ship same-day during business hours as Salesforce-ready CSV or via API push on Enterprise tier.
The JSON API schema (Enterprise tier) includes all standard CSV fields plus nested objects for: address_components (street, suite, city, state, zip5, zip4), phone_array (primary, secondary, mobile_confirmed flag per line), and enrichment_meta (source_tier, last_application_date, bank_statement_available, ein_available). API responses are paginated at 500 records per call and support cursor-based pagination for large pulls. Full field reference at /api-docs.
| Field | Coverage on St. George 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 |
St. George 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 St. George buyers slice by 1–3 verticals to focus their dialer scripts.
White-label data agencies and ISO resellers buy wholesale volume tiers to power outbound programs for their own funder clients — MCA shops, equipment financiers, or commercial lenders who don't want to manage a data vendor relationship. These buyers typically commit to 25K–100K records/month on recurring terms, use the API or bulk-CSV delivery format, and pass cost through to end clients at a markup. Owner Leads Direct offers ISO-tier pricing on bulk commits — contact us for a wholesale rate card.
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.
Get a Free St. George Sample List →
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.
St. George 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 St. George-area business.
St. George records include owner name, business name, primary phone, and — for most records — email, revenue band, year founded, and EIN where available. The St. George dataset spans 50+ industries from construction and trucking to restaurants, retail, and professional services. Filter by industry, revenue, or ZIP at order time.
St. George 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 St. George pull.
Yes — St. George pulls can be expanded to include adjacent metros and Utah suburbs at order time. Teams running UT territory often combine St. George with neighboring metros for full-state coverage.