Building Footprint data is based on ‘polygon geofences’ that define the boundaries of buildings. It includes very detailed insights into the Building Type, Name, Shape, and more. By combining it with POI and Mobility data, it allows for a more accurate representation of an area. Echo’s Building Footprint datasets have been built to ensure ongoing accuracy & precision. We use satellite imagery, machine learning & human verification, to define the most precise boundaries of any location (stores, landmarks, amenities, offices, etc.) and build polygon-based "geofences" around 25.4M+ Places in the U.S., U.K., France, Spain, Italy and Germany. By doing so, it is possible to identify the precise footprints so companies can benefit from an accurate geospatial analysis of countries, cities, or even local neighbourhoods. With Echo's Building Footprint data it is possible to: - Build location-based strategies fast - Increase accuracy of Foot Traffic data - Pinpoint locations for highly precise Mapping - Improve Site Selection processes Clients using this dataset are commonly from: - Commercial Real Estate & PropTech - Retail - Investment Banking