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Live-tested 30 random rows before committing. Address quality is the strongest column in the file. Bought it as the seed list for a quick service restaurant outbound push in India. Sales team is happy.
Live-tested 30 random rows before committing. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for India's quick service restaurant segment specifically. Will buy again.
Looking to scope a regional rollout. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it for a India quick service restaurant market-sizing project. Worth the price.
Last Update:
Jul 29, 2026 03:01 AM
Published:
May 01, 2026 03:06 AM
Rows (Extended):
772
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
