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Picked it up for cold outbound. Loaded into Power BI without a single import warning. Otherwise no complaints.
Loaded the file the morning we got it. ROAS improved roughly 30% versus the lookalike audience we ran before. Money well spent.
Bought a sample first. Refresh cadence means the data feels current, not 2-years-old. Bought it while building a tyre retail store prospecting workflow for Australia. Connect rate could have been higher with cleaner mobile numbers.
Tried three vendors before this. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it for a Australia tyre retail store market-sizing project. One column I'd add next refresh: secondary email.
Ran the CSV through our deduper first. Refresh cadence means the data feels current, not 2-years-old. Bought it for our tyre retail store sales team's Australia pipeline. Recommended.
Field-tested by my team. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to map tyre retail store density across Australia. Genuinely useful.
Bought a sample first. The phone column was live for 95% of the rows I tested. Genuinely useful.
Last Update:
Aug 15, 2026 05:45 AM
Published:
May 11, 2026 01:54 AM
Rows (Extended):
725
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
