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Bought this for a cold outbound push. Address quality is the strongest column in the file. Bought it to scope a India territory in the building materials supplier segment. Wished a few smaller towns had been included.
Loaded the file the morning we got it. Encoded UTF-8 with no character-set surprises in Excel. Bought it to handle building materials supplier lead-gen for the India region. Saved us hours of manual cleanup.
Bought a sample first. Website URLs were populated for ~80% of rows, far better than the competition. Money well spent.
Wanted a India list with verified phones. Email coverage is the highest I've seen for India B2B data. No complaints from the field reps.
Needed addresses field reps could actually drive to. Encoded UTF-8 with no character-set surprises in Excel. Genuinely useful.
Field-tested by my team. Address quality is the strongest column in the file. Bought it for a India building materials supplier market-sizing project. Couple of small gaps but workable.
Got it for a territory planning project. Connect rate jumped noticeably once we filtered by category. Money well spent.
Reasonable value for what we paid. Website URLs were populated for ~80% of rows, far better than the competition. Bought it for our building materials supplier sales team's India pipeline. Wished a few smaller towns had been included.
Bought this for a cold outbound push. Categorisation was granular enough to segment by sub-vertical without regex. Otherwise no complaints.
Fine for the prospecting list. Address quality is the strongest column in the file. Bought it to handle building materials supplier lead-gen for the India region. Wished a few smaller towns had been included.
Last Update:
Aug 17, 2026 03:01 AM
Published:
May 01, 2026 03:14 AM
Rows (Extended):
337
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
