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Fine for the prospecting list. Categorisation was granular enough to segment by sub-vertical without regex. Couple of small gaps but workable.
Needed it for a fast launch. Address quality is the strongest column in the file. Bought it to underpin a India physiotherapist doctor campaign. Renewed for another quarter already.
Onboarded a junior with this dataset. Hours and GPS were the missing pieces in my last vendor's file — this has both. Renewed for another quarter already.
Onboarded a junior with this dataset. Loaded into Power BI without a single import warning. Saved us hours of manual cleanup.
Ran the CSV through our deduper first. Website URLs were populated for ~80% of rows, far better than the competition. Bought it for physiotherapist doctor prospecting across India. Worth the price.
Field-tested by my team. Imported into HubSpot in two clicks, every column mapped automatically. Bought it while building a physiotherapist doctor prospecting workflow for India. Saved us hours of manual cleanup.
Did the job for our campaign. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Workable, the LinkedIn coverage could be better.
Tried three vendors before this. Website URLs were populated for ~80% of rows, far better than the competition. Bought it for a India physiotherapist doctor market-sizing project. Decent value, would tighten one or two fields.
Last Update:
Aug 16, 2026 06:01 AM
Published:
May 11, 2026 05:01 AM
Rows (Extended):
114
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
