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Used it for a focused territory. Hours-of-operation field meant my SDRs called during open windows. Bought it for India's diagnostic center segment specifically. Workable, the LinkedIn coverage could be better.
Solid file overall. Refresh cadence means the data feels current, not 2-years-old. Bought it as part of a wider diagnostic center expansion into India. Otherwise no complaints.
Needed addresses field reps could actually drive to. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it to scope a India territory in the diagnostic center segment. Money well spent.
Live-tested 30 random rows before committing. Lat/long landed every pin on the right storefront in Mapbox. Bought it to map diagnostic center density across India. Will buy again.
Saved me a scraping project I'd been dreading. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it as part of a wider diagnostic center expansion into India. Renewed for another quarter already.
Pulled the trigger after reading the row count. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it as part of a wider diagnostic center expansion into India. Money well spent.
Last Update:
Aug 15, 2026 05:45 AM
Published:
May 11, 2026 02:23 AM
Rows (Regular):
526
Rows (Extended):
1,051
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
