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Pulled the trigger after reading the row count. Encoded UTF-8 with no character-set surprises in Excel. Bought it for our tea shop sales team's Australia pipeline. Workable, the LinkedIn coverage could be better.
Tried three vendors before this. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it as the seed list for a tea shop outbound push in Australia. Acceptable trade-off at this price.
Bought this for a cold outbound push. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for a Australia-focused tea shop territory cut. Will buy again.
Stress-tested it during a client pitch. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to map tea shop density across Australia. Saved us hours of manual cleanup.
Looking to scope a regional rollout. Loaded into Power BI without a single import warning. No complaints from the field reps.
Used it for a market-sizing exercise. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. No complaints from the field reps.
Decent dataset for the price. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it for a Australia-focused tea shop territory cut. Connect rate could have been higher with cleaner mobile numbers.
Needed it for a fast launch. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it while building a tea shop prospecting workflow for Australia. Will be the default vendor for us now.
Live-tested 30 random rows before committing. Loaded into Power BI without a single import warning. Bought it for a Australia-focused tea shop territory cut. Genuinely useful.
Wanted a Australia list with verified phones. Loaded into Power BI without a single import warning. Bought it for our tea shop sales team's Australia pipeline. Renewed for another quarter already.
Last Update:
Aug 08, 2026 05:45 AM
Published:
May 11, 2026 01:55 AM
Rows (Extended):
222
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
