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Field-tested by my team. Encoded UTF-8 with no character-set surprises in Excel. Bought it for hospitality real estate developer prospecting across India. Connect rate could have been higher with cleaner mobile numbers.
Bought a sample first. Address quality is the strongest column in the file. Bought it to underpin a India hospitality real estate developer campaign. Recommended.
Compared this side-by-side with two competitors. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for our hospitality real estate developer outreach in India. Worth the price.
Met most of what we were looking for. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it to handle hospitality real estate developer lead-gen for the India region. Minor cleanup needed but nothing major.
Live-tested 30 random rows before committing. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for a India hospitality real estate developer market-sizing project. Saved us hours of manual cleanup.
Stress-tested it during a client pitch. Loaded into Power BI without a single import warning. Bought it for India's hospitality real estate developer segment specifically. Saved us hours of manual cleanup.
Saved me a scraping project I'd been dreading. ROAS improved roughly 30% versus the lookalike audience we ran before. Sales team is happy.
Last Update:
Aug 17, 2026 05:45 AM
Published:
May 01, 2026 02:44 AM
Rows (Extended):
21
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
