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Tried three vendors before this. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to map pediatrician doctor density across India. Will be the default vendor for us now.
Honest reaction after a week of use: Hours-of-operation field meant my SDRs called during open windows. Money well spent.
Pulled the trigger after reading the row count. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to map pediatrician doctor density across India. Decent value, would tighten one or two fields.
Ran the CSV through our deduper first. Refresh cadence means the data feels current, not 2-years-old. 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 to scope a India territory in the pediatrician doctor segment. Renewed for another quarter already.
Live-tested 30 random rows before committing. Google rating column came included, which we hadn't expected. Will buy again.
Onboarded a junior with this dataset. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it for India's pediatrician doctor segment specifically. No complaints from the field reps.
Got it for a territory planning project. Lat/long landed every pin on the right storefront in Mapbox. Bought it to support a pediatrician doctor rollout in India. Sales team is happy.
Last Update:
Aug 15, 2026 06:00 AM
Published:
May 11, 2026 02:21 AM
Rows (Extended):
178
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
