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Decent dataset for the price. Connect rate jumped noticeably once we filtered by category. Bought it for our apparel retailer outreach in India. One column I'd add next refresh: secondary email.
Worked for what we needed. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it for a India apparel retailer market-sizing project. Workable, the LinkedIn coverage could be better.
Bought a sample first. Lat/long landed every pin on the right storefront in Mapbox. Bought it for a India apparel retailer market-sizing project. Wished a few smaller towns had been included.
Picked it up for a one-off campaign. Hours-of-operation field meant my SDRs called during open windows. Bought it to handle apparel retailer lead-gen for the India region. Money well spent.
Picked it up for cold outbound. Hours-of-operation field meant my SDRs called during open windows. Bought it for a India-focused apparel retailer territory cut. Wished a few smaller towns had been included.
Compared this side-by-side with two competitors. Imported into HubSpot in two clicks, every column mapped automatically. Bought it for a India apparel retailer market-sizing project. Genuinely useful.
Ran the CSV through our deduper first. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Sales team is happy.
Last Update:
Aug 16, 2026 05:45 AM
Published:
Apr 28, 2026 20:15 PM
Rows (Regular):
1,666
Rows (Extended):
3,331
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
