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RetailNext (Aurora sensor retail traffic & property intelligence) — Sensor-network retail footfall and behavior data collected by RetailNext's proprietary Aurora ceiling sensors across stores, corridors, entrances and common areas — visitor flow and traffic counts, zone-level valuation metrics, real-time occupancy, dwell and engagement measures, and asset-protection events. Deployed across eight named verticals (apparel & footwear, jewelry, department stores, convenience, facilities, restaurants, retail banking, shopping malls), so the same schema spans store types from bank branches to food …
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Sensor-network retail footfall and behavior data collected by RetailNext's proprietary Aurora ceiling sensors across stores, corridors, entrances and common areas — visitor flow and traffic counts, zone-level valuation metrics, real-time occupancy, dwell and engagement measures, and asset-protection events. Deployed across eight named verticals (apparel & footwear, jewelry, department stores, convenience, facilities, restaurants, retail banking, shopping malls), so the same schema spans store types from bank branches to food courts. For malls specifically: entrance, corridor and anchor-zone traffic with cross-property benchmarking, plus tenant-level analytics services shared back to retailers.
From 17 yearsCoverage Information Technology · Consumer DiscretionaryAsset class Equities · Fixed income
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RetailNext (Aurora sensor retail traffic & property intelligence) — Sensor-network retail footfall and behavior data collected by RetailNext's proprietary Aurora ceiling sensors across stores, corridors, entrances and common areas — visitor flow and traffic counts, zone-level valuation metrics, real-time occupancy, dwell and engagement measures, and asset-protection events. Deployed across eight named verticals (apparel & footwear, jewelry, department stores, convenience, facilities, restaurants, retail banking, shopping malls), so the same schema spans store types from bank branches to food …
Retailnext offers (Alternative, Geospatial, Sentiment) — ~50-500M sensor-hour metric observations per year (est.: order of 10K-100K deployed sensors x ~12 trading hours x 365 days), with dwell/journey/zone derivatives multiplying raw events several-fold. At the depth implied by the current product generation this is one of the largest retail behavior corpora in the Western market. Processing is at the edge, so retained volume is metrics rather than imagery..
Rent benchmarking and lease negotiation at unit grain for mall landlords and REITs; retail same-store traffic nowcasting ahead of earnings for department store, apparel and restaurant chains; marketing and event ROI measurement; labor scheduling; asset-protection and shrink models; credit and distress early warning from sustained traffic decline at branded locations; training computer-vision and behavior models on one of the largest consistently-measured retail sensor corpora; and cross-channel consumer-attention comparison (how dwell and traffic differ between a bank branch, a food court and a jewelry store), which only a multi-vertical sensor operator can supply.
The data is with 17 years of history.
Coverage spans US, UK; Application Software, General Merchandise Stores; alternative, geospatial, sentiment; equities, fixed_income.
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