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Pulled the trigger after reading the row count. Hours-of-operation field meant my SDRs called during open windows. Bought it for India's icse school segment specifically. Saved us hours of manual cleanup.
Needed it for a fast launch. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it to scope a India territory in the icse school segment. Will reconsider for the next refresh.
Picked it up for cold outbound. Connect rate jumped noticeably once we filtered by category. Decent value, would tighten one or two fields.
Built a Looker Studio dashboard off the dataset for a client pitch. The category granularity made the slice-and-dice trivial.
Phone numbers ring through for the most part. Came across half a dozen disconnected lines in the first 200 rows, normal attrition.
Last Update:
Jun 28, 2026 02:38 AM
Published:
May 12, 2026 00:30 AM
Rows (Extended):
599
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
![Verified Icse School Records for Upper Siang, Arunachal Pradesh, India [June 2026]](https://cdn.bulkdataprovider.com/covers/auto/icse-schools-leads-in-west-bengal-india-verified-b2b-data-ILn7ATmF.webp)