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Ran the CSV through our deduper first. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it to underpin a India hardware store campaign. Decent value, would tighten one or two fields.
Looking to scope a regional rollout. Address quality is the strongest column in the file. Bought it as the seed list for a hardware store outbound push in India. Money well spent.
Tried three vendors before this. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Wished a few smaller towns had been included.
Compared this side-by-side with two competitors. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it to scope a India territory in the hardware store segment. Will be the default vendor for us now.
Stress-tested it during a client pitch. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it while building a hardware store prospecting workflow for India. Will buy again.
Picked it up for a one-off campaign. Hours-of-operation field meant my SDRs called during open windows. Bought it to handle hardware store lead-gen for the India region. Genuinely useful.
Last Update:
Aug 11, 2026 03:16 AM
Published:
May 11, 2026 04:38 AM
Rows (Extended):
385
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
