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Worked for what we needed. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it while planning a physiotherapy clinic campaign in India. Minor cleanup needed but nothing major.
Used it for a market-sizing exercise. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for India's physiotherapy clinic segment specifically. Genuinely useful.
Needed addresses field reps could actually drive to. Encoded UTF-8 with no character-set surprises in Excel. Bought it to underpin a India physiotherapy clinic campaign. No complaints from the field reps.
Skeptical at first, given the price. Sample matched live data when I spot-checked random rows. Renewed for another quarter already.
First impression after the download: Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it to scope a India territory in the physiotherapy clinic segment. Will be the default vendor for us now.
Used it for a market-sizing exercise. Hours-of-operation field meant my SDRs called during open windows. Money well spent.
Skeptical at first, given the price. Refresh cadence means the data feels current, not 2-years-old. Saved us hours of manual cleanup.
Last Update:
Aug 04, 2026 06:00 AM
Published:
May 11, 2026 01:41 AM
Rows (Extended):
231
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
