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Looking to scope a regional rollout. Categorisation was granular enough to segment by sub-vertical without regex. Money well spent.
Field-tested by my team. Connect rate jumped noticeably once we filtered by category. Bought it for a India beach resort market-sizing project. Minor cleanup needed but nothing major.
Loaded the file the morning we got it. Sample matched live data when I spot-checked random rows. Bought it as the seed list for a beach resort outbound push in India. Will be the default vendor for us now.
Compared this side-by-side with two competitors. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it for our beach resort outreach in India. Will be the default vendor for us now.
Replaced an older vendor with this. Connect rate jumped noticeably once we filtered by category. Bought it for India's beach resort segment specifically. Sales team is happy.
Compared this side-by-side with two competitors. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for our beach resort outreach in India. No complaints from the field reps.
Saved me a scraping project I'd been dreading. ROAS improved roughly 30% versus the lookalike audience we ran before. Saved us hours of manual cleanup.
Field-tested by my team. Sample matched live data when I spot-checked random rows. Bought it for our beach resort sales team's India pipeline. Renewed for another quarter already.
Used it for a market-sizing exercise. Refresh cadence means the data feels current, not 2-years-old. Bought it to underpin a India beach resort campaign. Worth the price.
Field-tested by my team. Google rating column came included, which we hadn't expected. Bought it for a India-focused beach resort territory cut. Will be the default vendor for us now.
Loaded the file the morning we got it. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to handle beach resort lead-gen for the India region. Recommended.
Last Update:
Aug 15, 2026 05:45 AM
Published:
May 11, 2026 02:25 AM
Rows (Extended):
232
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
