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Met most of what we were looking for. Refresh cadence means the data feels current, not 2-years-old. Bought it for a India-focused diabetologist doctor territory cut. Workable, the LinkedIn coverage could be better.
Wanted a India list with verified phones. Hours-of-operation field meant my SDRs called during open windows. Bought it while planning a diabetologist doctor campaign in India. Recommended.
Looking to scope a regional rollout. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it to underpin a India diabetologist doctor campaign. Recommended.
Plugged it straight into our outreach tooling. Loaded into Power BI without a single import warning. Bought it to underpin a India diabetologist doctor campaign. No complaints from the field reps.
Tried three vendors before this. Encoded UTF-8 with no character-set surprises in Excel. Bought it for India's diabetologist doctor segment specifically. Renewed for another quarter already.
Worked for what we needed. Loaded into Power BI without a single import warning. One column I'd add next refresh: secondary email.
Replaced an older vendor with this. Sample matched live data when I spot-checked random rows. Bought it to map diabetologist doctor density across India. Sales team is happy.
Saved me a scraping project I'd been dreading. Encoded UTF-8 with no character-set surprises in Excel. Bought it for diabetologist doctor prospecting across India. Renewed for another quarter already.
Did the job for our campaign. Address quality is the strongest column in the file. Wished a few smaller towns had been included.
Last Update:
Aug 17, 2026 06:02 AM
Published:
May 11, 2026 02:24 AM
Rows (Extended):
72
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
