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Tried three vendors before this. Categorisation was granular enough to segment by sub-vertical without regex. Couple of small gaps but workable.
Needed it for a fast launch. Sample matched live data when I spot-checked random rows. Bought it to map impossible foods locations united states density across United States. One column I'd add next refresh: secondary email.
Loaded the file the morning we got it. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it for our impossible foods locations united states outreach in United States. Sales team is happy.
Needed it for a fast launch. Categorisation was granular enough to segment by sub-vertical without regex. Couple of small gaps but workable.
Bought for a one-time project. Refresh cadence means the data feels current, not 2-years-old. Bought it to scope a United States territory in the impossible foods locations united states segment. Will reconsider for the next refresh.
Wanted a United States list with verified phones. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for impossible foods locations united states prospecting across United States. Will be the default vendor for us now.
Wanted a United States list with verified phones. Loaded into Power BI without a single import warning. Bought it while building a impossible foods locations united states prospecting workflow for United States. Renewed for another quarter already.
Last Update:
Jun 30, 2026 02:37 AM
Published:
Jun 11, 2026 15:02 PM
Rows (Regular):
28,400
Rows (Extended):
56,801
Category:
