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Field-tested by my team. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it as the seed list for a kitchen cleaning outbound push in United States. Decent value, would tighten one or two fields.
Used it for a market-sizing exercise. Encoded UTF-8 with no character-set surprises in Excel. Bought it for our kitchen cleaning outreach in United States. Genuinely useful.
Picked it up for a one-off campaign. The phone column was live for 95% of the rows I tested. Bought it to underpin a United States kitchen cleaning campaign. Will buy again.
Met most of what we were looking for. Address quality is the strongest column in the file. Bought it to scope a United States territory in the kitchen cleaning segment. Decent value, would tighten one or two fields.
Replaced an older vendor with this. Loaded into Power BI without a single import warning. Bought it for kitchen cleaning prospecting across United States. Recommended.
Got it for a territory planning project. Email coverage is the highest I've seen for United States B2B data. Bought it for our kitchen cleaning sales team's United States pipeline. Saved us hours of manual cleanup.
Bought this for a cold outbound push. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it to handle kitchen cleaning lead-gen for the United States region. Money well spent.
Used the CSV for a territory carve-up across United States. Wished a few of the smaller towns had been included, but the big metros were complete.
Pulled the CSV straight into HubSpot and the address column lined up clean. Hours and GPS were the missing pieces in my last vendor's file, this one had both for every row.
Quick CSV download, opened in Power BI, threw a map visual on the page in fifteen minutes. Did the whole sales-pitch deck the same morning.
Honestly didn't expect the lat/long columns to be this clean. Plugged them into Mapbox and every pin landed on the right storefront.
Last Update:
Aug 17, 2026 05:45 AM
Published:
May 11, 2026 03:26 AM
Rows (Extended):
138
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
