Quick answerReach Olympia Restaurants owners directly. Mobile-identified phones, scrubbed email, revenue & funding history for WA merchants. Records ship same-day as Salesforce-ready CSV with owner-direct mobile phones, business email, revenue band, and funding-application signal on the majority of records. Free sample list on request before any commit.
Owner Leads Direct ships verified restaurants & food service owner contact records for Olympia, Washington — direct mobile phones, business email, revenue band, and funding-application history for the actual decision-maker on every record. Built for MCA brokers, equipment financiers, B2B sales reps, and merchant-services teams running WA territory who are tired of dialing switchboards and getting blocked at the gatekeeper. The Olympia restaurants dataset is sourced through our partner MCA funding network and B2B data partnerships, then scrubbed against national DNC where applicable and refreshed continuously as new application signal fires.
The standard field schema includes: owner name (first + last), business name, primary phone, secondary phone (where available), email, mailing address (street, city, state, ZIP), industry SIC/NAICS, revenue band, employee count band, year founded, funding-application flag, and a record-recency timestamp. Pro-tier and Enterprise pulls add: mobile-confirmed phone flag, last-funded-product type (MCA, equipment, term loan), bank-statement availability flag, and EIN where the record originated through MCA application activity.
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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Business closure detection: records are flagged as potentially inactive when any of the following signals fire: (1) the phone number is reassigned to a new subscriber (detected via carrier churn API); (2) the business address appears on a USPS Change-of-Address or NCOA update; (3) the business name appears on a state-level dissolution filing (sourced from state SOS APIs where available); (4) the email bounces hard on an attempted validation run. Flagged records move to the aged-inactive tier and are excluded from fresh-record pulls unless explicitly requested. This keeps the active database clean without discarding potentially salvageable contacts outright.
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.
Yes. Submit an email request for a sample of Restaurants & Food Service records in Olympia — we'll provide a small batch of redacted Olympia Restaurants records so your team can evaluate field quality, dial-through rate, and format before subscribing. Most teams test a sample, run a 50–100 record pilot, then commit.
Olympia Restaurants & Food Service record counts vary by filter — full-record counts including revenue and funding signal are typically a subset of the total contact-only universe. We share live counts at quote time so you know exactly what you're buying for Olympia, Washington before committing. Sample lists are available for any filter combination.
UCC scrapes hit the same Olympia Restaurants & Food Service merchants every other shop is dialing the same week. Generic B2B databases (ZoomInfo, Apollo, etc.) lack funding signal and rarely have direct owner mobiles for SMB Restaurants operators. Our Olympia pulls are sourced from funding-app activity and MCA partner data — the records have buying-intent signal, not just a name and a switchboard number.
Olympia Restaurants & Food Service records are refreshed continuously as our partner network updates fire. We remove Olympia-area records when a business closes or signal goes stale. Aged-lead products (records 30/60/90+ days old) are available as a separate solution at lower per-record pricing for teams that want larger volume at the trade-off of recency.
Olympia pulls ship as CSV with our standard field schema, Salesforce-ready format with mapped Lead-object columns, or via API push on Enterprise tier. Average delivery for a Olympia, WA Restaurants order is under 24 hours from signed quote — most orders go same-day during business hours.