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. When combined with POI or Mobility data, it allows for a more accurate representation of an area. Thanks to our expertise, 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 25.7M+ locations in Europe & USA By doing so, it is possible to identify the precise footprints so companies can benefit from an accurate spatial analysis of countries, cities, or even local neighbourhoods. With Echo's Building Footprint data it is possible to: - Build location-based strategies fast - Increase the 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