Geospatial Analytics
Trade areas, competitive adjacency, white space, and monthly change, computed against a named release so every figure can be reproduced.
Explore analytics →US places data · geospatial analytics · out-of-home measurement
Mogean maintains a verified, monthly refreshed dataset of every US place of interest, and builds geospatial analytics and natural-language tools on top of it, so teams can answer real-world questions with evidence.
Talk to usBrowse the data store
The name is short for mobile geospatial analytics, the discipline the company was founded on. Today that means analytics about places, never about people or their devices.
One dataset. Three ways in.
Trade areas, competitive adjacency, white space, and monthly change, computed against a named release so every figure can be reproduced.
Explore analytics →Ask in plain English. Brands, categories and geographies resolve against the live catalog and return exact, priced results.
See how NLQ works →Every brand, category and state slice of the US master as a product with a published price, sample rows and a verifiable freshness date.
About the data →Natural-language query
The model proposes; the catalog decides. When a term matches more than one thing, the explorer shows the possible matches for you to choose.
Try the explorerProof, not process
Brand-published locations, government registries, Foursquare Open Source Places and Overture Maps, fused into one monthly release. Each record carries a provenance tier, shown wherever the row appears.
Read the methodologyDirect from the operator's own locator.
Licensed, permitted and registered places.
Apache 2.0, attribution carried through.
Monthly, with confidence scores.
Measuring out-of-home campaigns
Out-of-home campaigns run in the physical world. Mogean measures them there: the devices a campaign reached, the visits that followed, and the lift against a comparable control. A separate input from the places dataset, which supplies the context.
Exposure Measurement