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Onboarded a junior with this dataset. Hours-of-operation field meant my SDRs called during open windows. Money well spent.
Ran the CSV through our deduper first. Website URLs were populated for ~80% of rows, far better than the competition. Bought it to support a dig locations rollout in United States. No complaints from the field reps.
Field-tested by my team. Website URLs were populated for ~80% of rows, far better than the competition. Bought it while planning a dig locations campaign in United States. Saved us hours of manual cleanup.
Onboarded a junior with this dataset. Connect rate jumped noticeably once we filtered by category. Bought it for United States's dig locations segment specifically. Money well spent.
Fine for the prospecting list. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it for a United States dig locations market-sizing project. One column I'd add next refresh: secondary email.
Needed addresses field reps could actually drive to. ROAS improved roughly 30% versus the lookalike audience we ran before. Renewed for another quarter already.
Last Update:
Jun 30, 2026 02:37 AM
Published:
Jun 11, 2026 15:01 PM
Rows (Extended):
33
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![Verified Everytable restaurant locations Records for United States [July 2026]](https://cdn.bulkdataprovider.com/location-reports/everytable-restaurant-locations-in-the-usa.png)
