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Needed it for a fast launch. Encoded UTF-8 with no character-set surprises in Excel. Bought it for a Australia family clinic market-sizing project. Minor cleanup needed but nothing major.
Used it for a focused territory. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for our family clinic sales team's Australia pipeline. Minor cleanup needed but nothing major.
Picked it up for cold outbound. Bounce rate stayed under 4% on a 1,000-contact email send. Workable, the LinkedIn coverage could be better.
Used it for a focused territory. Hours-of-operation field meant my SDRs called during open windows. Bought it while planning a family clinic campaign in Australia. Couple of small gaps but workable.
Worked for what we needed. Lat/long landed every pin on the right storefront in Mapbox. Otherwise no complaints.
Honest reaction after a week of use: Categorisation was granular enough to segment by sub-vertical without regex. Bought it to handle family clinic lead-gen for the Australia region. Will buy again.
Pulled the trigger after reading the row count. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it for a Australia family clinic market-sizing project. Genuinely useful.
First impression after the download: Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it to scope a Australia territory in the family clinic segment. Renewed for another quarter already.
Got it for a territory planning project. Address quality is the strongest column in the file. Bought it for a Australia family clinic market-sizing project. Will be the default vendor for us now.
Looking to scope a regional rollout. Email coverage is the highest I've seen for Australia B2B data. Bought it while building a family clinic prospecting workflow for Australia. Sales team is happy.
Pulled the trigger after reading the row count. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it to scope a Australia territory in the family clinic segment. Will buy again.
Looking to scope a regional rollout. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Sales team is happy.
Bought a sample first. Address quality is the strongest column in the file. Bought it for a Australia family clinic market-sizing project. Saved us hours of manual cleanup.
Last Update:
Aug 19, 2026 02:30 AM
Published:
May 11, 2026 01:54 AM
Rows (Extended):
283
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
