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Picked it up for cold outbound. Lat/long landed every pin on the right storefront in Mapbox. Bought it for a India-focused manufacturer territory cut. Decent value, would tighten one or two fields.
Used it for a market-sizing exercise. Address quality is the strongest column in the file. Bought it for a India manufacturer market-sizing project. Saved us hours of manual cleanup.
Replaced an older vendor with this. Imported into HubSpot in two clicks, every column mapped automatically. Bought it for manufacturer prospecting across India. Money well spent.
Live-tested 30 random rows before committing. Bounce rate stayed under 4% on a 1,000-contact email send. Renewed for another quarter already.
Needed it for a fast launch. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to support a manufacturer rollout in India. Workable, the LinkedIn coverage could be better.
Picked it up for a one-off campaign. Connect rate jumped noticeably once we filtered by category. Bought it while building a manufacturer prospecting workflow for India. Saved us hours of manual cleanup.
Field-tested by my team. Email coverage is the highest I've seen for India B2B data. Bought it to underpin a India manufacturer campaign. Connect rate could have been higher with cleaner mobile numbers.
Decent dataset for the price. Address quality is the strongest column in the file. Bought it as the seed list for a manufacturer outbound push in India. Connect rate could have been higher with cleaner mobile numbers.
Needed addresses field reps could actually drive to. Address quality is the strongest column in the file. Bought it to scope a India territory in the manufacturer segment. No complaints from the field reps.
Looking to scope a regional rollout. Lat/long landed every pin on the right storefront in Mapbox. Bought it for manufacturer prospecting across India. Will buy again.
Pulled the trigger after reading the row count. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it as part of a wider manufacturer expansion into India. Sales team is happy.
Decent dataset for the price. Imported into HubSpot in two clicks, every column mapped automatically. Bought it to scope a India territory in the manufacturer segment. Otherwise no complaints.
Needed it for a fast launch. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it while planning a manufacturer campaign in India. Sales team is happy.
Live-tested 30 random rows before committing. Loaded into Power BI without a single import warning. Bought it as part of a wider manufacturer expansion into India. Sales team is happy.
Needed addresses field reps could actually drive to. The phone column was live for 95% of the rows I tested. Renewed for another quarter already.
Spent two weeks scraping India dataset locations by hand before finding this. Saved that work and now my territory map is actually accurate.
Last Update:
Aug 15, 2026 06:00 AM
Published:
May 11, 2026 02:22 AM
Rows (Extended):
77
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
