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Skeptical at first, given the price. Google rating column came included, which we hadn't expected. Bought it for our shoe retail chain outreach in India. No complaints from the field reps.
Used it for a market-sizing exercise. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it as part of a wider shoe retail chain expansion into India. Money well spent.
Plugged it straight into our outreach tooling. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it while planning a shoe retail chain campaign in India. Sales team is happy.
Ran the CSV through our deduper first. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for our shoe retail chain outreach in India. Renewed for another quarter already.
Local marketing agency here. Needed a baseline of dataset footprint per state to scope a regional campaign, this gave it in one CSV.
Last Update:
Aug 02, 2026 02:45 AM
Published:
May 09, 2026 02:50 AM
Rows (Regular):
3,015
Rows (Extended):
6,700
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
