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Compared this side-by-side with two competitors. Sample matched live data when I spot-checked random rows. Bought it for India's it companie segment specifically. Money well spent.
Field-tested by my team. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Money well spent.
Used it for a market-sizing exercise. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it as the seed list for a it companie outbound push in India. Genuinely useful.
Met most of what we were looking for. Address quality is the strongest column in the file. Decent value, would tighten one or two fields.
Worked for what we needed. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it to scope a India territory in the it companie segment. Minor cleanup needed but nothing major.
Saved me a scraping project I'd been dreading. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for our it companie sales team's India pipeline. Money well spent.
Solid file overall. Refresh cadence means the data feels current, not 2-years-old. Bought it for our it companie outreach in India. Decent value, would tighten one or two fields.
Used it for a market-sizing exercise. Connect rate jumped noticeably once we filtered by category. Will be the default vendor for us now.
Skeptical at first, given the price. Categorisation was granular enough to segment by sub-vertical without regex. Money well spent.
Bought a sample first. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it for our it companie sales team's India pipeline. Renewed for another quarter already.
Used it for a market-sizing exercise. Connect rate jumped noticeably once we filtered by category. Bought it for our it companie sales team's India pipeline. Will be the default vendor for us now.
Live-tested 30 random rows before committing. Address quality is the strongest column in the file. Bought it while building a it companie prospecting workflow for India. Money well spent.
Ran the CSV through our deduper first. Imported into HubSpot in two clicks, every column mapped automatically. Bought it for it companie prospecting across India. Acceptable trade-off at this price.
Reasonable value for what we paid. Email coverage is the highest I've seen for India B2B data. Decent value, would tighten one or two fields.
Plugged it straight into our outreach tooling. Sample matched live data when I spot-checked random rows. Bought it for a India-focused it companie territory cut. Sales team is happy.
Picked it up for cold outbound. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it as the seed list for a it companie outbound push in India. One column I'd add next refresh: secondary email.
Pulled the trigger after reading the row count. ROAS improved roughly 30% versus the lookalike audience we ran before. Otherwise no complaints.
Honest reaction after a week of use: Lat/long landed every pin on the right storefront in Mapbox. Will buy again.
Last Update:
Aug 18, 2026 05:45 AM
Published:
May 11, 2026 02:28 AM
Rows (Regular):
3,601
Rows (Extended):
7,201
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
