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Bought a sample first. Categorisation was granular enough to segment by sub-vertical without regex. Decent value, would tighten one or two fields.
Used it for a market-sizing exercise. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to handle little caesars locations (united states) lead-gen for the United States region. Genuinely useful.
Ran the CSV through our deduper first. Loaded into Power BI without a single import warning. Bought it while building a little caesars locations (united states) prospecting workflow for United States. Workable, the LinkedIn coverage could be better.
Used it for a market-sizing exercise. Hours-of-operation field meant my SDRs called during open windows. Saved us hours of manual cleanup.
Live-tested 30 random rows before committing. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it while building a little caesars locations (united states) prospecting workflow for United States. Sales team is happy.
Last Update:
Jun 30, 2026 02:37 AM
Published:
Jun 11, 2026 15:02 PM
Rows (Regular):
2,101
Rows (Extended):
4,203
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