This dataset contains anonymized mobile location observations transformed into foot traffic insights for physical places. It includes aggregated measures such as visit counts, unique visitors, visitation patterns by time, dwell time estimates, catchment area origins, customer overlap across locations, and origin-destination flows. Records are derived from processed device location signals with quality controls for accuracy, deduplication, and one-time ping filtering. Spatial data enables mapping, proximity analysis, site selection, geographic clustering, and regional market comparisons. The dataset supports retail performance analysis, competitor benchmarking, transit and OD studies, location-based marketing measurement, and tourism or event visitation analytics.

Key attributes include:

• Aggregated visit counts and unique visitor estimates

• Temporal visitation patterns and dwell time summaries

• Origin-destination flows and visitor catchment areas

• Customer overlap and cross-site visitation metrics

• Data quality flags for accuracy, duplicates, and one-time pings

Value Summary:
Analysts, retailers, planners, and marketers benefit from this dataset to quantify physical visitation, compare site performance, model trade areas, and inform site selection or marketing attribution using spatial and temporal mobility signals.