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Field-tested by my team. Hours-of-operation field meant my SDRs called during open windows. Bought it for a India general physician clinic market-sizing project. Workable, the LinkedIn coverage could be better.
Compared this side-by-side with two competitors. Imported into HubSpot in two clicks, every column mapped automatically. Bought it to handle general physician clinic lead-gen for the India region. Worth the price.
Bought for a one-time project. Email coverage is the highest I've seen for India B2B data. Bought it for India's general physician clinic segment specifically. One column I'd add next refresh: secondary email.
Stress-tested it during a client pitch. Connect rate jumped noticeably once we filtered by category. Bought it to support a general physician clinic rollout in India. No complaints from the field reps.
Looking to scope a regional rollout. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it for India's general physician clinic segment specifically. No complaints from the field reps.
Bought a sample first. Refresh cadence means the data feels current, not 2-years-old. Bought it to scope a India territory in the general physician clinic segment. Saved us hours of manual cleanup.
Stress-tested it during a client pitch. Encoded UTF-8 with no character-set surprises in Excel. Bought it to support a general physician clinic rollout in India. Sales team is happy.
Onboarded a junior with this dataset. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it while building a general physician clinic prospecting workflow for India. Money well spent.
Live-tested 30 random rows before committing. Website URLs were populated for ~80% of rows, far better than the competition. Worth the price.
Last Update:
Aug 15, 2026 05:45 AM
Published:
May 11, 2026 02:21 AM
Rows (Regular):
820
Rows (Extended):
1,639
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
