An estimated 1,200 records are available across
8 states in Australia,
apportioned from the national figure by population, economic output, area and administrative density.
Records are fetched from our data source and delivered as a CSV when you buy.
The largest states by estimated availability are
New South Wales (~309), Victoria (~258), Queensland (~240), Western Australia (~162), South Australia (~105), Australian Capital Territory (~52), Northern Territory (~39), and Tasmania (~35).
These are estimated records available from our data source, not a count of files already
held. The national figure is apportioned across states by population, economic
output, area and administrative density, so the parts add up to the national total. Records are fetched and
delivered at purchase; the exact number in your file is confirmed at that point.
Watch Stores Locations Database — Australia
The Watch stores database includes 1,200+ verified Watch stores in Australia with name, address, city, state, phone, hours, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
How to use this data
Local marketing — geo-target ads and outreach against every Watch catchment in Australia.
Logistics network planning — place fulfilment nodes near Watch concentrations across Australia.
POS / inventory rollout — match new SKU launches to the right Watch sites in Australia.
Frequently asked about this dataset
How many Watch stores are in Australia?
Watch currently operates 1,200+ stores in Australia (as of 2026). Buy access on this page and you get the master CSV with every store's verified contact + geolocation row.
Where can I download a database of all Watch stores in Australia?
Data2Sales AI hosts the most up-to-date Watch stores list for Australia; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
What fields are included in the Watch stores dataset?
Per-row columns include Watch store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and the surrounding context fields (website, opening hours, Google rating, review count). Delivered as a CRM-ready UTF-8 CSV.
How accurate is the Watch stores location data?
Every Watch location is cross-referenced across the Watch store locator, Google Maps and licensed business directories before it ships. Closed storefronts, disconnected phones and duplicate listings are stripped on every monthly refresh, so the CSV you download reflects the live Watch footprint in Australia.
Is the Watch stores data updated?
Yes. The Watch stores dataset is rebuilt on a rolling 30-day cycle — new openings come in through franchise expansion feeds and registrar filings, closures are detected from negative Google signals (phone disconnected, 'permanently closed' markers) and dropped before export.
Can I use the Watch stores data for marketing and sales outreach?
Yes — the dataset is licensed for commercial use after purchase. Common use cases include geo-targeted advertising against Watch catchments, competitor benchmarking, site-selection analytics, supplier outreach and franchise planning. Personal consumer data is not included, only publicly listed business contact information.
What format do I receive the Watch stores database in?
You receive a UTF-8 encoded CSV file. It opens cleanly in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request after purchase.
How soon after purchase can I download the Watch stores CSV?
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time, so you always receive the latest verified Watch stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
About the Watch Stores Database in Australia
Data2Sales AI's Watch Stores database for Australia covers an estimated 1,200 available records, drawn together from official websites, business registries, social profiles and licensed directories. The exact number of rows in your file is confirmed when it is built.