Dataset
device-location-foot-traffic-feeds
Foot-traffic panels built from mobile-device location signals, measuring visits, dwell time and cross-shopping for US retailers, malls and real-estate assets, delivered on a daily schedule to investors and real-estate desks.
Dataset card
Advan Research publishes a commercial device-location foot-traffic feed that tracks visits, dwell time, and cross-shopping behavior. The dataset is licensed for paid subscribers and is positioned for real-estate and retail analytics.
What this dataset contains
The product delivers aggregated foot-traffic signals derived from device-location data, with metrics covering visits, dwell-time, and cross-shopping patterns across retail and commercial locations. Tags published by the vendor indicate applicability to real-estate analysis alongside retail performance work. Exact row counts and historical depth are not disclosed in the public listing.
Structure and fields
The vendor has not published a public schema for this feed, so concrete column names are unavailable in the listing. Conventional Advan foot-traffic products typically surface fields such as location identifier, date, visit count, and dwell-time, but none of these can be confirmed for this specific entry. Analysts should request the data dictionary directly from Advan Research before integrating the feed.
How analysts use it
Foot-traffic feeds of this type are commonly used by long/short equity managers to monitor same-store traffic trends at publicly traded retailers and restaurants. Real-estate investors apply visit and dwell-time metrics to underwrite retail property valuations and tenant performance. The cross-shopping tag also suggests use cases in trade-area analysis and competitive intelligence.
Documentation & references 2
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