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Onboarded a junior with this dataset. Hours-of-operation field meant my SDRs called during open windows. Sales team is happy.
Ran the CSV through our deduper first. Refresh cadence means the data feels current, not 2-years-old. Recommended.
Wanted a India list with verified phones. Hours-of-operation field meant my SDRs called during open windows. Bought it for India's nursing home segment specifically. Recommended.
Reasonable value for what we paid. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for our nursing home sales team's India pipeline. Connect rate could have been higher with cleaner mobile numbers.
Solid file overall. Categorisation was granular enough to segment by sub-vertical without regex. Connect rate could have been higher with cleaner mobile numbers.
Picked it up for a one-off campaign. Sample matched live data when I spot-checked random rows. Bought it for our nursing home sales team's India pipeline. Will buy again.
Loaded the file the morning we got it. Connect rate jumped noticeably once we filtered by category. Bought it for nursing home prospecting across India. Genuinely useful.
Latitude / longitude was useful for the mapping work. A couple of rows had stale hours, easy to filter out but worth flagging.
Last Update:
Aug 08, 2026 06:00 AM
Published:
May 11, 2026 02:22 AM
Rows (Extended):
63
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
