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Reasonable value for what we paid. Loaded into Power BI without a single import warning. Bought it for India's real estate companie segment specifically. Acceptable trade-off at this price.
Bought it to seed a CRM import. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for a India real estate companie market-sizing project. Sales team is happy.
Bought a sample first. Sample matched live data when I spot-checked random rows. Decent value, would tighten one or two fields.
Ran the CSV through our deduper first. Hours-of-operation field meant my SDRs called during open windows. Bought it to support a real estate companie rollout in India. Workable, the LinkedIn coverage could be better.
Bought this for a cold outbound push. Connect rate jumped noticeably once we filtered by category. Bought it as part of a wider real estate companie expansion into India. Will buy again.
Decent dataset for the price. Encoded UTF-8 with no character-set surprises in Excel. Connect rate could have been higher with cleaner mobile numbers.
Pulled the trigger after reading the row count. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for India's real estate companie segment specifically. One column I'd add next refresh: secondary email.
Bought a sample first. Email coverage is the highest I've seen for India B2B data. Will reconsider for the next refresh.
Used it for a market-sizing exercise. Lat/long landed every pin on the right storefront in Mapbox. Bought it for India's real estate companie segment specifically. Saved us hours of manual cleanup.
Onboarding a junior analyst with this dataset as their first project. It's clean enough she's not spending day one debugging encodings.
Last Update:
Aug 18, 2026 06:00 AM
Published:
May 11, 2026 02:21 AM
Rows (Extended):
154
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
