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Ran the CSV through our deduper first. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it as part of a wider vape shop expansion into United Kingdom. Will buy again.
Honest reaction after a week of use: Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Minor cleanup needed but nothing major.
Ran the CSV through our deduper first. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for a United Kingdom-focused vape shop territory cut. Money well spent.
Decent dataset for the price. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Connect rate could have been higher with cleaner mobile numbers.
Looking to scope a regional rollout. Loaded into Power BI without a single import warning. Will be the default vendor for us now.
Plugged it straight into our outreach tooling. Refresh cadence means the data feels current, not 2-years-old. Sales team is happy.
First impression after the download: Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for vape shop prospecting across United Kingdom. Money well spent.
Fine for the prospecting list. Refresh cadence means the data feels current, not 2-years-old. Bought it to scope a United Kingdom territory in the vape shop segment. Couple of small gaps but workable.
Picked it up for a one-off campaign. Hours-of-operation field meant my SDRs called during open windows. Bought it for a United Kingdom-focused vape shop territory cut. Saved us hours of manual cleanup.
Last Update:
Aug 17, 2026 05:45 AM
Published:
May 11, 2026 03:12 AM
Rows (Regular):
1,347
Rows (Extended):
2,694
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
