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Needed addresses field reps could actually drive to. Website URLs were populated for ~80% of rows, far better than the competition. Bought it to map car wash service density across Australia. Will be the default vendor for us now.
Live-tested 30 random rows before committing. Hours-of-operation field meant my SDRs called during open windows. Bought it for a Australia car wash service queensland, australia market-sizing project. Saved us hours of manual cleanup.
Stress-tested it during a client pitch. Address quality is the strongest column in the file. Bought it while building a car wash service prospecting workflow for Australia. No complaints from the field reps.
Field-tested by my team. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Money well spent.
Bought a sample first. Sample matched live data when I spot-checked random rows. Bought it while planning a car wash service campaign in Australia. Will buy again.
Looking to scope a regional rollout. Address quality is the strongest column in the file. Bought it for a Australia-focused car wash service territory cut. Worth the price.
Needed it for a fast launch. Lat/long landed every pin on the right storefront in Mapbox. Renewed for another quarter already.
Honest reaction after a week of use: Loaded into Power BI without a single import warning. Bought it for our car wash service outreach in Australia. No complaints from the field reps.
Bought it to seed a CRM import. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it for a Australia car wash service market-sizing project. Genuinely useful.
Last Update:
Aug 16, 2026 05:45 AM
Published:
May 11, 2026 01:54 AM
Rows (Extended):
124
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
