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Picked it up for a one-off campaign. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it while building a lighting retail store prospecting workflow for Austria. Saved us hours of manual cleanup.
Bought it to seed a CRM import. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Renewed for another quarter already.
Field-tested by my team. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for a Austria-focused lighting retail store territory cut. Recommended.
Needed it for a fast launch. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to underpin a Austria lighting retail store campaign. Will reconsider for the next refresh.
Bought a sample first. Hours-of-operation field meant my SDRs called during open windows. Bought it while building a lighting retail store prospecting workflow for Austria. Workable, the LinkedIn coverage could be better.
Ran the CSV through our deduper first. Address quality is the strongest column in the file. One column I'd add next refresh: secondary email.
Bought it to seed a CRM import. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Sales team is happy.
Wanted a Austria list with verified phones. The phone column was live for 95% of the rows I tested. Bought it for a Austria-focused lighting retail store territory cut. Genuinely useful.
Needed addresses field reps could actually drive to. Lat/long landed every pin on the right storefront in Mapbox. Bought it for our lighting retail store sales team's Austria pipeline. Recommended.
Last Update:
Aug 06, 2026 05:45 AM
Published:
May 11, 2026 01:55 AM
Rows (Extended):
480
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