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Loaded the file the morning we got it. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Sales team is happy.
Met most of what we were looking for. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it for our bathroom remodeling contractor sales team's United States pipeline. Workable, the LinkedIn coverage could be better.
Live-tested 30 random rows before committing. Hours-of-operation field meant my SDRs called during open windows. Bought it for our bathroom remodeling contractor sales team's United States pipeline. Money well spent.
Plugged it straight into our outreach tooling. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it to scope a United States territory in the bathroom remodeling contractor segment. Worth the price.
Used it for a focused territory. Hours and GPS were the missing pieces in my last vendor's file — this has both. Acceptable trade-off at this price.
Bought a sample first. Google rating column came included, which we hadn't expected. Bought it to support a bathroom remodeling contractor rollout in United States. Worth the price.
First impression after the download: Categorisation was granular enough to segment by sub-vertical without regex. Genuinely useful.
Needed it for a fast launch. Lat/long landed every pin on the right storefront in Mapbox. Wished a few smaller towns had been included.
Decent dataset for the price. ROAS improved roughly 30% versus the lookalike audience we ran before. One column I'd add next refresh: secondary email.
Last Update:
Aug 17, 2026 05:45 AM
Published:
May 04, 2026 07:10 AM
Rows (Extended):
978
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
