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First impression after the download: Sample matched live data when I spot-checked random rows. Recommended.
Honest reaction after a week of use: Hours-of-operation field meant my SDRs called during open windows. Bought it to support a vehicle wrapping service rollout in Australia. Saved us hours of manual cleanup.
Bought for a one-time project. Imported into HubSpot in two clicks, every column mapped automatically. Bought it for a Australia-focused vehicle wrapping service territory cut. Connect rate could have been higher with cleaner mobile numbers.
Loaded the file the morning we got it. Loaded into Power BI without a single import warning. Recommended.
Looking to scope a regional rollout. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Saved us hours of manual cleanup.
Replaced an older vendor with this. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it for vehicle wrapping service prospecting across Australia. Will be the default vendor for us now.
Saved me a scraping project I'd been dreading. Loaded into Power BI without a single import warning. Sales team is happy.
Honest reaction after a week of use: Categorisation was granular enough to segment by sub-vertical without regex. Bought it to underpin a Australia vehicle wrapping service campaign. No complaints from the field reps.
Pulled the trigger after reading the row count. Address quality is the strongest column in the file. Bought it to support a vehicle wrapping service rollout in Australia. Saved us hours of manual cleanup.
Used it for a market-sizing exercise. The phone column was live for 95% of the rows I tested. No complaints from the field reps.
Ran the CSV through our deduper first. Categorisation was granular enough to segment by sub-vertical without regex. Will be the default vendor for us now.
Worked for what we needed. Hours-of-operation field meant my SDRs called during open windows. Connect rate could have been higher with cleaner mobile numbers.
Last Update:
Aug 17, 2026 02:30 AM
Published:
May 11, 2026 01:54 AM
Rows (Extended):
120
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
