Quick answerDirect owner contacts for Fishers, Indiana 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.
Pull a fresh Fishers, IN owner contact list filtered to your exact ICP. The Fishers 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. Fishers pulls ship same-day during business hours as Salesforce-ready CSV or via API push on Enterprise 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 Fishers 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 |
Fishers 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 Fishers 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.
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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.
Fishers 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 Fishers-area business.
Yes — Fishers pulls can be expanded to include adjacent metros and Indiana suburbs at order time. Teams running IN territory often combine Fishers with neighboring metros for full-state coverage.
Fishers records include owner name, business name, primary phone, and — for most records — email, revenue band, year founded, and EIN where available. The Fishers dataset spans 50+ industries from construction and trucking to restaurants, retail, and professional services. Filter by industry, revenue, or ZIP at order time.
Fishers 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 Fishers pull.