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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-focused wedding photographers data territory cut. Minor cleanup needed but nothing major.
Skeptical at first, given the price. Sample matched live data when I spot-checked random rows. Will buy again.
Bought this for a cold outbound push. Address quality is the strongest column in the file. One column I'd add next refresh: secondary email.
Replaced an older vendor with this. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to scope a Australia territory in the wedding photographers data segment. Sales team is happy.
Field-tested by my team. Loaded into Power BI without a single import warning. Bought it for a Australia-focused wedding photographers data territory cut. Acceptable trade-off at this price.
Bought it to seed a CRM import. Hours-of-operation field meant my SDRs called during open windows. Bought it for our wedding photographers data sales team's Australia pipeline. Money well spent.
Honest reaction after a week of use: Address quality is the strongest column in the file. Bought it as the seed list for a wedding photographers data outbound push in Australia. Money well spent.
Honest reaction after a week of use: Categorisation was granular enough to segment by sub-vertical without regex. Bought it for our wedding photographers data outreach in Australia. No complaints from the field reps.
Used it for a focused territory. Email coverage is the highest I've seen for Australia B2B data. Wished a few smaller towns had been included.
Met most of what we were looking for. Google rating column came included, which we hadn't expected. Bought it as the seed list for a wedding photographers data outbound push in Australia. Couple of small gaps but workable.
Met most of what we were looking for. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Otherwise no complaints.
Plugged it straight into our outreach tooling. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it as the seed list for a wedding photographers data outbound push in Australia. Will buy again.
Last Update:
Aug 16, 2026 05:45 AM
Published:
May 11, 2026 01:55 AM
Rows (Extended):
677
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
