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Bought a sample first. Connect rate jumped noticeably once we filtered by category. Bought it for dry cleaner prospecting across United States. Recommended.
Tried three vendors before this. Loaded into Power BI without a single import warning. Bought it for dry cleaner prospecting across United States. Couple of small gaps but workable.
Did the job for our campaign. Google rating column came included, which we hadn't expected. Bought it to map dry cleaner density across United States. Decent value, would tighten one or two fields.
Skeptical at first, given the price. Lat/long landed every pin on the right storefront in Mapbox. Will be the default vendor for us now.
Compared this side-by-side with two competitors. Connect rate jumped noticeably once we filtered by category. Worth the price.
Bought a sample first. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Saved us hours of manual cleanup.
Picked it up for cold outbound. Email coverage is the highest I've seen for United States B2B data. Bought it to map dry cleaner density across United States. Acceptable trade-off at this price.
First impression after the download: Refresh cadence means the data feels current, not 2-years-old. Bought it as the seed list for a dry cleaner outbound push in United States. Recommended.
Plugged it straight into our outreach tooling. Loaded into Power BI without a single import warning. Bought it for a United States-focused dry cleaner territory cut. Genuinely useful.
Needed it for a fast launch. Lat/long landed every pin on the right storefront in Mapbox. Bought it while planning a dry cleaner campaign in United States. Will buy again.
First impression after the download: Google rating column came included, which we hadn't expected. Bought it to underpin a United States dry cleaner campaign. Money well spent.
Fine for the prospecting list. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it to underpin a United States dry cleaner campaign. Minor cleanup needed but nothing major.
Honest reaction after a week of use: Categorisation was granular enough to segment by sub-vertical without regex. Bought it to underpin a United States dry cleaner campaign. Couple of small gaps but workable.
Last Update:
Aug 09, 2026 05:45 AM
Published:
May 11, 2026 03:15 AM
Rows (Regular):
16,500
Rows (Extended):
33,000
Category:
