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Tried three vendors before this. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it for a Australia shoe store market-sizing project. Saved us hours of manual cleanup.
Tried three vendors before this. Address quality is the strongest column in the file. Genuinely useful.
Picked it up for a one-off campaign. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for Australia's shoe store segment specifically. Will buy again.
Field-tested by my team. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it for Australia's shoe store segment specifically. Will be the default vendor for us now.
Pulled the trigger after reading the row count. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for our shoe store outreach in Australia. Recommended.
First impression after the download: Refresh cadence means the data feels current, not 2-years-old. Bought it to support a shoe store rollout in Australia. Will buy again.
Replaced an older vendor with this. Hours-of-operation field meant my SDRs called during open windows. Bought it as part of a wider shoe store expansion into Australia. Money well spent.
Last Update:
Aug 10, 2026 05:45 AM
Published:
May 11, 2026 01:55 AM
Rows (Extended):
648
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
