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Ran the CSV through our deduper first. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for a India-focused school territory cut. One column I'd add next refresh: secondary email.
Fine for the prospecting list. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to handle school lead-gen for the India region. Minor cleanup needed but nothing major.
Wanted a India list with verified phones. Address quality is the strongest column in the file. Money well spent.
Compared this side-by-side with two competitors. Imported into HubSpot in two clicks, every column mapped automatically. Bought it to scope a India territory in the school segment. Renewed for another quarter already.
Fine for the prospecting list. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it to support a school rollout in India. Acceptable trade-off at this price.
Looked at three vendors before settling on this one. The website column was populated for roughly 80% of rows, others were closer to 40.
Workable file, the address quality is the strongest column. Email population on this segment is patchy, knew that going in.
Last Update:
Jul 28, 2026 03:01 AM
Published:
May 09, 2026 02:36 AM
Rows (Regular):
8,097
Rows (Extended):
17,994
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
