Primary Care Clinic Database of Queensland Latest August 2026 Updated

Got it for a territory planning project. Loaded into Power BI without a single import warning. Bought it while planning a primary care clinic campaign in Australia. Worth the price.

Bought for a one-time project. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Workable, the LinkedIn coverage could be better.

Picked it up for cold outbound. Lat/long landed every pin on the right storefront in Mapbox. Decent value, would tighten one or two fields.

Used it for a market-sizing exercise. Refresh cadence means the data feels current, not 2-years-old. Worth the price.

Live-tested 30 random rows before committing. Categorisation was granular enough to segment by sub-vertical without regex. Money well spent.

Picked it up for a one-off campaign. Hours and GPS were the missing pieces in my last vendor's file — this has both. No complaints from the field reps.

Worked for what we needed. Website URLs were populated for ~80% of rows, far better than the competition. Bought it to map primary care clinic density across Australia. Acceptable trade-off at this price.

Loaded the file the morning we got it. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to scope a Australia territory in the primary care clinic segment. Renewed for another quarter already.

Bought a sample first. Google rating column came included, which we hadn't expected. No complaints from the field reps.

Ran the CSV through our deduper first. Encoded UTF-8 with no character-set surprises in Excel. Bought it as the seed list for a primary care clinic queensland, australi outbound push in Australia. One column I'd add next refresh: secondary email.

Reasonable value for what we paid. Email coverage is the highest I've seen for Australia B2B data. Bought it for Australia's primary care clinic segment specifically. Wished a few smaller towns had been included.

Plugged it straight into our outreach tooling. Bounce rate stayed under 4% on a 1,000-contact email send. Saved us hours of manual cleanup.

Field-tested by my team. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Sales team is happy.

Ran the CSV through our deduper first. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for our primary care clinic sales team's Australia pipeline. Workable, the LinkedIn coverage could be better.

Met most of what we were looking for. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it for our primary care clinic sales team's Australia pipeline. Otherwise no complaints.

Needed it for a fast launch. Hours-of-operation field meant my SDRs called during open windows. Bought it for Australia's primary care clinic segment specifically. Worth the price.

Fine for the prospecting list. Lat/long landed every pin on the right storefront in Mapbox. Decent value, would tighten one or two fields.

Reasonable value for what we paid. Refresh cadence means the data feels current, not 2-years-old. Acceptable trade-off at this price.