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Needed addresses field reps could actually drive to. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to support a supermarket rollout in India. Will be the default vendor for us now.
Tried three vendors before this. Encoded UTF-8 with no character-set surprises in Excel. Bought it to support a supermarket rollout in India. Worth the price.
First impression after the download: Hours and GPS were the missing pieces in my last vendor's file — this has both. Genuinely useful.
Bought for a one-time project. Refresh cadence means the data feels current, not 2-years-old. Wished a few smaller towns had been included.
Decent dataset for the price. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for a India-focused supermarket territory cut. Connect rate could have been higher with cleaner mobile numbers.
Ran the CSV through our deduper first. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it as part of a wider supermarket expansion into India. Will be the default vendor for us now.
Fine for the prospecting list. Address quality is the strongest column in the file. Bought it for our supermarket outreach in India. Connect rate could have been higher with cleaner mobile numbers.
Honest reaction after a week of use: Loaded into Power BI without a single import warning. Saved us hours of manual cleanup.
Skeptical at first, given the price. Imported into HubSpot in two clicks, every column mapped automatically. Recommended.
Picked it up for cold outbound. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it to map supermarket density across India. Will reconsider for the next refresh.
Last Update:
Aug 17, 2026 05:45 AM
Published:
May 11, 2026 02:20 AM
Rows (Extended):
194
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
