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Bought a sample first. Connect rate jumped noticeably once we filtered by category. Bought it for a India-focused advocate territory cut. Money well spent.
Worked for what we needed. Categorisation was granular enough to segment by sub-vertical without regex. Acceptable trade-off at this price.
First impression after the download: Address quality is the strongest column in the file. Bought it to scope a India territory in the advocate segment. Recommended.
Saved me a scraping project I'd been dreading. Refresh cadence means the data feels current, not 2-years-old. Bought it for our advocate sales team's India pipeline. Money well spent.
Reasonable value for what we paid. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to map advocate density across India. One column I'd add next refresh: secondary email.
Met most of what we were looking for. The phone column was live for 95% of the rows I tested. Bought it for a India-focused advocate territory cut. Decent value, would tighten one or two fields.
Last Update:
Aug 10, 2026 06:00 AM
Published:
May 06, 2026 02:42 AM
Rows (Regular):
565
Rows (Extended):
1,130
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
