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Onboarded a junior with this dataset. Hours-of-operation field meant my SDRs called during open windows. Bought it while planning a personal grooming service campaign in Australia. Saved us hours of manual cleanup.
Replaced an older vendor with this. Loaded into Power BI without a single import warning. Bought it for Australia's personal grooming service segment specifically. Saved us hours of manual cleanup.
Pulled the trigger after reading the row count. Imported into HubSpot in two clicks, every column mapped automatically. Bought it for personal grooming service prospecting across Australia. No complaints from the field reps.
Tried three vendors before this. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Acceptable trade-off at this price.
Reasonable value for what we paid. Imported into HubSpot in two clicks, every column mapped automatically. Bought it for Australia's personal grooming service queensland, au segment specifically. Connect rate could have been higher with cleaner mobile numbers.
Looking to scope a regional rollout. Refresh cadence means the data feels current, not 2-years-old. Recommended.
Needed it for a fast launch. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Minor cleanup needed but nothing major.
Stress-tested it during a client pitch. Hours-of-operation field meant my SDRs called during open windows. Worth the price.
Ran the CSV through our deduper first. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it to handle personal grooming service lead-gen for the Australia region. Will reconsider for the next refresh.
Plugged it straight into our outreach tooling. Loaded into Power BI without a single import warning. Money well spent.
Last Update:
Aug 14, 2026 05:45 AM
Published:
May 11, 2026 01:54 AM
Rows (Extended):
217
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
