Australia Consumer Segmentation & Enrichment Dataset | 50 Segments | 100m Resolution

Know Your Catchment Before You Sign

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.

Isometric white-clay geographic platform with blue catchment overlays, routes, markers, partitions, and floating data cards representing Australia-wide consumer segmentation intelligence.
At a Glance

The Data Behind the Decision

50
Proprietary consumer segments
100m x 100m
Grid resolution per cell
Australia-wide
National coverage, no gaps
Buy by Geography

Stop buying the whole country. Buy just your markets.

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.

Book a Meeting

See Your Trade Areas in 30 Minutes

The Problem

Coarse Data Costs You Leases

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.

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Trade Area Profiles Too Blunt
SA1 and postcode-level data average out the consumer variation that actually drives store performance. A high-income pocket and a struggling suburb inside the same postcode look identical on your site selection model.
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No Benchmark Against Top Stores
Without a consistent segmentation framework applied to both your existing network and candidate sites, comparing catchment profiles is guesswork. You have no reliable way to know if a new trade area looks like your winners or your underperformers.
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Life Stage Blind Spots at Scale
Household composition, presence of children, and life stage are the attributes that separate a trade area that converts from one that does not. These signals are buried in raw census tables and almost never reach a location decision in time.
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Slow Data, Slow Decisions
Custom demographic research for each candidate site takes weeks and costs disproportionately. By the time the analysis is done, the best sites are gone and your pipeline has stalled.
What Is In The Dataset

The Catchment Intelligence You Were Missing

50-Segment Consumer Framework

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.

100m Grid Resolution

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.

Life Stage and Household Composition

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 and Affluence Indicators

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.

Let's talk
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The world's spatial data is more accessible than you think. Let's show you how close you already are.
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You already have the questions. We have the data. Let's see what happens when they meet.
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The where in your business is more important than you think. Let's find it together.
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Most spatial data conversations start with a problem nobody thought was solvable. What is yours?
BigGeo AI

Ask a Catchment Question. Get a Governed Answer in Seconds.

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.

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What percentage of the catchment within 5km of this site falls into our top 3 target segments?
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Compare the life stage profile of trade areas around our top 10 stores versus this new candidate site.
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Which suburb grid cells within 3km of this address have the highest concentration of families with children and above-median income?
FAQ

Frequently asked questions

How is 100m resolution actually different from what we get from the ABS today?
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Can we use this to benchmark candidate sites against our existing store network?
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How current is the segmentation data, and how often is it refreshed?
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We already have a BI platform and a CRM. How does this data reach our existing tools?
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What does getting started actually look like? We are not a GIS team.
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