Thrift Store Database of Queensland Latest August 2026 Updated

Bought a sample first. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it as the seed list for a thrift store outbound push in Australia. Worth the price.

Pulled the trigger after reading the row count. Sample matched live data when I spot-checked random rows. Bought it to scope a Australia territory in the thrift store segment. Connect rate could have been higher with cleaner mobile numbers.

Needed it for a fast launch. Categorisation was granular enough to segment by sub-vertical without regex. Money well spent.

Decent dataset for the price. Website URLs were populated for ~80% of rows, far better than the competition. Bought it for a Australia thrift store market-sizing project. Workable, the LinkedIn coverage could be better.

Compared this side-by-side with two competitors. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to handle thrift store lead-gen for the Australia region. No complaints from the field reps.

Saved me a scraping project I'd been dreading. Sample matched live data when I spot-checked random rows. Bought it to map thrift store density across Australia. Recommended.

Live-tested 30 random rows before committing. Encoded UTF-8 with no character-set surprises in Excel. Saved us hours of manual cleanup.

Bought a sample first. Hours-of-operation field meant my SDRs called during open windows. Will buy again.

Ran the CSV through our deduper first. Loaded into Power BI without a single import warning. Genuinely useful.

Ran the CSV through our deduper first. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for our thrift store sales team's Australia pipeline. Worth the price.

Used it for a market-sizing exercise. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Worth the price.

Looking to scope a regional rollout. Email coverage is the highest I've seen for Australia B2B data. Bought it as part of a wider thrift store expansion into Australia. Saved us hours of manual cleanup.

Honest reaction after a week of use: Address quality is the strongest column in the file. Renewed for another quarter already.

Bought for a one-time project. Sample matched live data when I spot-checked random rows. Bought it for a Australia thrift store market-sizing project. Connect rate could have been higher with cleaner mobile numbers.

Saved me a scraping project I'd been dreading. Address quality is the strongest column in the file. Bought it while building a thrift store prospecting workflow for Australia. Will be the default vendor for us now.

Compared this side-by-side with two competitors. Sample matched live data when I spot-checked random rows. Bought it to support a thrift store rollout in Australia. Money well spent.

Solid file overall. Loaded into Power BI without a single import warning. Bought it for a Australia thrift store market-sizing project. Minor cleanup needed but nothing major.

Needed it for a fast launch. Imported into HubSpot in two clicks, every column mapped automatically. Bought it for a Australia-focused thrift store territory cut. Genuinely useful.

Plugged it straight into our outreach tooling. Imported into HubSpot in two clicks, every column mapped automatically. Bought it for Australia's thrift store segment specifically. Sales team is happy.

Needed addresses field reps could actually drive to. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Saved us hours of manual cleanup.

Plugged it straight into our outreach tooling. Sample matched live data when I spot-checked random rows. Sales team is happy.

Honest reaction after a week of use: Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it for Australia's thrift store segment specifically. Will be the default vendor for us now.

Solid file overall. Sample matched live data when I spot-checked random rows. Bought it as part of a wider thrift store expansion into Australia. One column I'd add next refresh: secondary email.

Solid file overall. Lat/long landed every pin on the right storefront in Mapbox. Bought it as the seed list for a thrift store outbound push in Australia. Will reconsider for the next refresh.

Did the job for our campaign. Refresh cadence means the data feels current, not 2-years-old. Bought it to underpin a Australia thrift store campaign. Couple of small gaps but workable.

Bought this for a cold outbound push. Hours-of-operation field meant my SDRs called during open windows. Worth the price.

Bought it to seed a CRM import. Address quality is the strongest column in the file. Bought it to scope a Australia territory in the thrift store segment. Worth the price.