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Now available on best location data exchanges:
This dataset provides the key footfall metrics at a point level (latitude and longitude of POI + 69- meter radius). The metrics are built using the mobile trace data generated by a representative panel of anonymous users. This includes the observed and extrapolated number of users who spent time at the point during a specific period, the number of their signals (observations) at the point, and the footfall data derivatives like reach, dwell-time, score. These metrics are provided for different movement (ped
This dataset complements the Footfall dataset and provides the quantitative measure of the real- world interest (affinity) of the users observed at a point level (latitude and longitude of POI + 69- meter radius). This includes hundreds of potential real-world interests, including but not limited to shopping, leisure, sport, transport, entertainment, education. eating/drinking etc grouped at the brand level like KFC, Superdrug, Vue cinema, Virgin Active Gyms etc. The user interest (affinity) profiling metho
Главная - Admetrix