Consumer Compass delivers 50 AI-driven consumer segments at 100m x 100m grid resolution across every candidate trade area in Australia. For the first time, you can benchmark a new site's catchment profile directly against your top-performing stores before committing to a single lease.

Most data vendors sell you a national license to millions of records you will never contact. BigGeo works differently.You tell us where you sell, and we cut you exactly that geographic slice of the dataset. A single city.
A cluster of ZIP codes. A metro area. A county. Whatever matches your territory. The result is a lean, CRM-ready file containing only the companies in the markets you actually work, delivered at a fraction of the cost of a full national license.

Most retailers are still making million-dollar location decisions with postcode or SA1-level demographic data. The consumer composition that determines whether a store hits its targets is invisible at that resolution. By the time the performance data tells you the catchment was wrong, you are already three years into a lease.
Map any trade area to 50 distinct consumer segments and immediately see whether its composition aligns with the profiles that drive performance in your top stores. One consistent framework across your entire Australian network.

Profile catchments at a granularity that reflects how consumers actually cluster in the real world. Identify the high-concentration pockets of your target segments that postcode-level data completely obscures.

Access age band, household composition, presence of children, and employment status at grid level. Understand whether a trade area's population is growing into your category or aging out of it before you commit capital.

Income estimation, property characteristics, vehicle ownership, and urbanicity enrich every grid cell. Filter your candidate pipeline by the affluence profile that matches your customer, not just by population density.

BigGeo AI is live in ChatGPT and shipping in Claude, giving your team direct access to Consumer Compass through plain language questions. Instead of pulling a data extract and running a pivot table, an analyst can ask a specific question about any trade area in Australia and get a governed, accurate answer grounded in the actual grid-level data. No GIS software. No specialist. No waiting for a data team ticket.
ABS SA1 boundaries average around 400 dwellings and can span several hundred metres in urban areas. Consumer Compass works at 100m x 100m grid cells, which means a single SA1 might contain dozens of distinct grid cells with meaningfully different consumer profiles. For trade area profiling, that difference determines whether you see the consumer mix that is actually accessible to your store or a statistical average that masks it.
That is the primary use case it was built for. Because Consumer Compass applies the same 50-segment framework consistently across all of Australia, you can profile the catchment of every store in your current network and every site in your pipeline using identical methodology. The comparison is apples to apples for the first time. Inside BigGeo's DataLab, your store catchment data and the Consumer Compass grid layer combine and activate in the same workspace.
Consumer Compass uses AI-driven segmentation that is continuously refreshed as underlying models and data sources evolve. It is built from census data, property data, and other GDPR-compliant data sources. This means the segments reflect ongoing changes in the population rather than sitting static between five-year census cycles, which is a meaningful advantage for location decisions in fast-changing urban markets.
Consumer Compass is designed for activation, with delivery options including real-time API and large-scale batch processing. Once purchased through the BigGeo Marketplace, the dataset lives in your DataLab workspace and can be integrated directly into CRM, CDP, BI, and analytics platforms. Your engineering team does not need to build a custom pipeline from scratch to start using it.
You do not need a GIS team. The dataset is available through the BigGeo Marketplace and activates in DataLab where you can start combining it with your own store location and customer data immediately. BigGeo AI in ChatGPT lets any analyst on your team start asking trade area questions in plain language on day one. Request a sample and we will show you exactly what the catchment profile looks like for a site you are already evaluating.