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Got it for a territory planning project. Sample matched live data when I spot-checked random rows. Bought it for a Australia occupational therapy clinic market-sizing project. Recommended.
Skeptical at first, given the price. Google rating column came included, which we hadn't expected. Will buy again.
Stress-tested it during a client pitch. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for occupational therapy clinic prospecting across Australia. Sales team is happy.
Worked for what we needed. Address quality is the strongest column in the file. Bought it for our occupational therapy clinic sales team's Australia pipeline. One column I'd add next refresh: secondary email.
Reasonable value for what we paid. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it as part of a wider occupational therapy clinic expansion into Australia. Couple of small gaps but workable.
Bought it to seed a CRM import. Website URLs were populated for ~80% of rows, far better than the competition. Renewed for another quarter already.
Bought it to seed a CRM import. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it to support a occupational therapy clinic rollout in Australia. Will buy again.
Got it for a territory planning project. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it to support a occupational therapy clinic rollout in Australia. Renewed for another quarter already.
Ran the CSV through our deduper first. Imported into HubSpot in two clicks, every column mapped automatically. Bought it while planning a occupational therapy clinic campaign in Australia. Will be the default vendor for us now.
Needed it for a fast launch. Loaded into Power BI without a single import warning. Recommended.
Compared this side-by-side with two competitors. The phone column was live for 95% of the rows I tested. Bought it to map occupational therapy clinic density across Australia. Saved us hours of manual cleanup.
Pulled the trigger after reading the row count. Address quality is the strongest column in the file. Bought it for Australia's occupational therapy clinic segment specifically. One column I'd add next refresh: secondary email.
Compared this side-by-side with two competitors. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. No complaints from the field reps.
Last Update:
Aug 18, 2026 02:30 AM
Published:
May 11, 2026 01:55 AM
Rows (Extended):
324
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
