This dataset covers 7,206 verified records spread across
3+ states in Mountain North region.
7,206 records carry a verified phone number and
2,522 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density states are
Idaho (2,828 listings), Montana (2,659 listings), and Wyoming (1,719 listings).
Coverage in Mountain North region — by state
Total rows:7,206With mobile:7,206With website:2,522
States
Total
With mobile
With website
Idaho
2,828
2,828
990
Montana
2,659
2,659
931
Wyoming
1,719
1,719
602
All states (3)
7,206
7,206
2,522
Retail Companies Database — United States
The Retail Companies database for United States includes 7,206+ verified businesses with company name, address, city, state, phone, email, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
How to use this data
Demand-gen experiments — A/B different positionings against the same retail companies pool in United States.
Risk + concentration audit — identify United States pincodes with retail companies-cluster over-exposure.
Investor decks — quantify United States retail companies reach with verifiable source data, not extrapolations.
Frequently asked about this dataset
How many businesses are in the Retail Companies database for United States?
The Retail Companies database for United States contains 7,206+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.
Where can I download a Retail Companies database for United States?
The complete Retail Companies database for United States is available on this page from Data2Sales AI as an instant CSV download. Every record carries verified contact details and is delivered immediately after checkout.
What fields are included in the Retail Companies dataset?
Each record includes: Business name, Street address, City, State / Region, Postal code, Country, Phone number, Email address and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
How accurate is the Retail Companies data for United States?
Every record is cross-referenced across public business registries, Google Maps and licensed directory partners before it ships. Closed businesses, disconnected phones and duplicates are stripped on every monthly refresh, so the dataset reflects the live retail companies footprint in United States.
Is the Retail Companies dataset updated regularly?
Yes. The Retail Companies dataset is rebuilt on a rolling 30-day cycle. New entrants come in through registrar filings; closures are detected from negative signals and dropped before export.
Can I use the Retail Companies data for marketing and outreach?
Yes — the dataset is licensed for commercial use after purchase. Common use cases include cold outbound, geo-targeted advertising, market research, supplier sourcing and territory planning. Only publicly listed business contact information is included.
What format do I receive the Retail Companies database in?
You receive a UTF-8 encoded CSV. It opens in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request.
How quickly can I download the dataset after purchase?
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
About the Retail Companies Database in Mountain North region, United States
The World Wide Data Database for United States is a 7,206+ verified records directory of world wide data businesses — aggregated through the Data2Sales AI engine, cross-referenced across public business registries, official company websites, licensed directory partners, and social platforms, then re-verified monthly so every record in the export is deliverable on day one.
States included in this zone
This zone bundle aggregates every record from the 3 states below. Click a state to buy just that slice.