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Honest reaction after a week of use: Hours and GPS were the missing pieces in my last vendor's file — this has both. Worth the price.
Bought this for a cold outbound push. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for a India media production companie market-sizing project. Will buy again.
Fine for the prospecting list. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to handle media production companie lead-gen for the India region. Decent value, would tighten one or two fields.
Fine for the prospecting list. Hours-of-operation field meant my SDRs called during open windows. Bought it for a India media production companie market-sizing project. Wished a few smaller towns had been included.
Tried three vendors before this. Hours-of-operation field meant my SDRs called during open windows. Bought it to map media production companie density across India. Worth the price.
Loaded the file the morning we got it. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Sales team is happy.
Pulled the trigger after reading the row count. Categorisation was granular enough to segment by sub-vertical without regex. Otherwise no complaints.
Live-tested 30 random rows before committing. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Sales team is happy.
Picked it up for a one-off campaign. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. No complaints from the field reps.
Last Update:
Aug 18, 2026 05:45 AM
Published:
May 11, 2026 02:21 AM
Rows (Extended):
175
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
