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Compared this side-by-side with two competitors. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for luxury hotel prospecting across India. Saved us hours of manual cleanup.
Used it for a market-sizing exercise. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for luxury hotel prospecting across India. No complaints from the field reps.
Field-tested by my team. Sample matched live data when I spot-checked random rows. Bought it while planning a luxury hotel campaign in India. Saved us hours of manual cleanup.
Plugged it straight into our outreach tooling. Refresh cadence means the data feels current, not 2-years-old. Bought it for luxury hotel prospecting across India. Sales team is happy.
Bought a sample first. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it for a India-focused luxury hotel territory cut. Will reconsider for the next refresh.
Tried three vendors before this. Lat/long landed every pin on the right storefront in Mapbox. Renewed for another quarter already.
Loaded the file the morning we got it. Email coverage is the highest I've seen for India B2B data. Bought it for our luxury hotel outreach in India. No complaints from the field reps.
Looking to scope a regional rollout. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Will buy again.
Used it for a market-sizing exercise. The phone column was live for 95% of the rows I tested. Bought it for our luxury hotel outreach in India. Saved us hours of manual cleanup.
Last Update:
Aug 14, 2026 05:45 AM
Published:
May 11, 2026 02:25 AM
Rows (Extended):
296
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
