US 12,490,047 B1
System and method to increase representativity of human movement and spend data for analytics purposes through multi-dimensional data-balancing
John Miller, Kansas City, MO (US); Alexandra V. Pasi, South Jordan, UT (US); and Robert Polski, Salt Lake City, UT (US)
Assigned to Zartico, Inc., Salt Lake City, UT (US)
Filed by Zartico, Inc., Salt Lake City, UT (US)
Filed on Jun. 3, 2025, as Appl. No. 19/227,043.
Claims priority of provisional application 63/655,989, filed on Jun. 4, 2024.
Int. Cl. H04W 4/00 (2018.01); H04W 4/02 (2018.01); H04W 4/021 (2018.01); H04W 72/0453 (2023.01); H04W 72/51 (2023.01)
CPC H04W 4/021 (2013.01) [H04W 4/023 (2013.01); H04W 72/0453 (2013.01); H04W 72/51 (2023.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving geospatial data of user devices;
wherein the geospatial data includes locations of the user devices recorded at one or more points in time;
correcting the geospatial data to account for undercounted user devices;
calculating probabilities of the user devices being observed at a point of interest (POI);
calculating a normalization factor based on population data for a geographic area and the number of user devices observed in the geographic area;
determining a normalized device count at the POI based on the normalization factor and the probabilities;
wherein the normalized device count represents a realistic number of users physically present at the POI;
determining a number of visitor devices at the POI; and
adjusting the normalized device count based on the number of visitor devices.