See the difference SafeGraph Geometry data makes when attributing your GPS ping data to POIs - don't rely on an inaccurate centroid radius.
Store visit attribution uses GPS location data from mobile phones with POI data to determine if a device visited a place, brand, or type of store. There are two main methods for attributing store visits, but the most accurate way is using precise POI polygons - like SafeGraph Geometry - as geofences to truly see which mobile devices passed through a threshold.
The other popular method for store visit attribution is using a centroid radius as the polygon. While this can be easily done with any data point and basic geoprocessing tools, it often contributes to incorrectly attributed visits because a centroid radius is less precise than a building footprint polygon. As a result, GPS pings can be under or over-counted using this method of visit attribution.
SafeGraph does not provide mobile ping data, but we do curate accurate and precise building footprint polygons for you to develop your own visit attribution methodology with. We also wrote a white paper detailing best practices for visit attribution. If you're interested in aggregated and anonymized visit data attributed to POIs, check out our Patterns dataset.
Use this dashboard to see the difference SafeGraph Geometry data makes when attributing your GPS ping data to POIs - don't rely on an inaccurate centroid radius and inflate your visit count.