Bought a sample first. Lat/long landed every pin on the right storefront in Mapbox. Bought it to handle structural steel fabricator lead-gen for the India region. Sales team is happy.
Bought a sample first. Encoded UTF-8 with no character-set surprises in Excel. Bought it as part of a wider structural steel fabricator expansion into India. No complaints from the field reps.
Bought a sample first. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it to support a structural steel fabricator rollout in India. Couple of small gaps but workable.
Onboarded a junior with this dataset. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it to map structural steel fabricator density across India. No complaints from the field reps.
Used it for a market-sizing exercise. Sample matched live data when I spot-checked random rows. Bought it while planning a structural steel fabricator campaign in India. No complaints from the field reps.
Stress-tested it during a client pitch. Address quality is the strongest column in the file. Bought it while planning a structural steel fabricator campaign in India. Recommended.
Needed it for a fast launch. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it as the seed list for a structural steel fabricator outbound push in India. Will be the default vendor for us now.
Bought this for a cold outbound push. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to map structural steel fabricator density across India. Money well spent.
Bought a sample first. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it as part of a wider structural steel fabricator expansion into India. Minor cleanup needed but nothing major.