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Honest reaction after a week of use: The phone column was live for 95% of the rows I tested. Bought it to map packaging material manufacturer density across United States. Genuinely useful.
Tried three vendors before this. Address quality is the strongest column in the file. Will reconsider for the next refresh.
Solid file overall. Connect rate jumped noticeably once we filtered by category. Bought it for packaging material manufacturer prospecting across United States. Couple of small gaps but workable.
Bought a sample first. Loaded into Power BI without a single import warning. Bought it as part of a wider packaging material manufacturer expansion into United States. Will reconsider for the next refresh.
Bought this for a cold outbound push. Hours and GPS were the missing pieces in my last vendor's file — this has both. Money well spent.
Reasonable value for what we paid. Lat/long landed every pin on the right storefront in Mapbox. Bought it while planning a packaging material manufacturer campaign in United States. Workable, the LinkedIn coverage could be better.
Tried three vendors before this. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to map packaging material manufacturer density across United States. Wished a few smaller towns had been included.
Needed addresses field reps could actually drive to. Google rating column came included, which we hadn't expected. Bought it for our packaging material manufacturer outreach in United States. Sales team is happy.
Did the job for our campaign. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for a United States-focused packaging material manufacturer territory cut. Acceptable trade-off at this price.
Last Update:
Aug 17, 2026 05:45 AM
Published:
May 11, 2026 04:15 AM
Rows (Extended):
343
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
