Ask any location question. Get a real answer. That is it.
The US 2020 Demographic Data Base at the block group level gives retailers 236,546 granular records of consumer profiles, spending behavior, and population density to score candidate sites before a single lease is signed. For the first time, your entire expansion team can compare locations side-by-side in a single spatial environment and walk away with a ranked list, not a gut call.
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.
Site selection is the highest-stakes spatial decision a retailer makes. Yet most teams are still running it with spreadsheets, siloed reports, and demographic data that stops at the ZIP code level. By the time a bad location becomes obvious, the lease is signed, the build-out is done, and the damage is already counted in quarterly losses.
Understand exactly who lives within each candidate trade area, broken down to the block group level. Identify whether the local population matches your core customer profile before committing to a footprint.
Know the spending capacity of the households surrounding every candidate site. Avoid locations where income levels will structurally cap your basket size or limit your category mix.
Match store format and product assortment to the actual age cohort and household composition in the trade area. A family grocery format placed in a predominantly single-adult neighborhood is a recoverable mistake, but only if you catch it first.
Evaluate candidate sites anywhere in the US against a consistent, standardized demographic baseline. Compare markets in different states on the same scoring framework without normalizing across incompatible data sources.
BigGeo AI is live in ChatGPT today and shipping in Claude, giving your analysts direct access to this demographic dataset through the tools they already use. Instead of submitting a GIS request and waiting two days for a demographic summary of a candidate trade area, your team types a plain-language question and gets a governed, data-grounded answer in seconds. The data never leaves the platform, and every answer is traceable to the underlying block-group record, not a model approximation.