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Plugged it straight into our outreach tooling. Cross-checked 50 entries against Google Maps and 47 matched cleanly. No complaints from the field reps.
Tried three vendors before this. Email coverage is the highest I've seen for India B2B data. Bought it as part of a wider construction materials supply expansion into India. Renewed for another quarter already.
Picked it up for a one-off campaign. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it while building a construction materials supply prospecting workflow for India. Will be the default vendor for us now.
Onboarded a junior with this dataset. Sample matched live data when I spot-checked random rows. Bought it to map construction materials supply density across India. Will buy again.
Picked it up for cold outbound. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for construction materials supply prospecting across India. Will reconsider for the next refresh.
Field-tested by my team. Address quality is the strongest column in the file. Bought it while planning a construction materials supply campaign in India. One column I'd add next refresh: secondary email.
Onboarded a junior with this dataset. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for India's construction materials supply segment specifically. Saved us hours of manual cleanup.
Skeptical at first, given the price. Connect rate jumped noticeably once we filtered by category. Bought it as the seed list for a construction materials supply outbound push in India. Will buy again.
Used it for a market-sizing exercise. Website URLs were populated for ~80% of rows, far better than the competition. Worth the price.
Used it for a market-sizing exercise. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for construction materials supply prospecting across India. Money well spent.
Fine for the prospecting list. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Otherwise no complaints.
Ran the CSV through our deduper first. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it for a India-focused construction materials supply territory cut. Will buy again.
Bought for a one-time project. Loaded into Power BI without a single import warning. Otherwise no complaints.
Last Update:
Jul 22, 2026 03:03 AM
Published:
May 01, 2026 04:14 AM
Rows (Extended):
287
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
