Approx. US locations
500+
US stores (US stores), per Amazon Amazon One app announcement, as of March 2024
Panel refresh
Daily
Signal type
Dwell-confirmed visits
How GSDSI covers Whole Foods Market
Whole Foods Market operates a premium-tier grocery footprint owned by Amazon, with stores concentrated in high-income urban and suburban trade areas. GSDSI's daily-refresh mobility panel captures dwell-confirmed visits with polygon-level precision: the signal AMZN sell-side research uses to model the grocery-segment contribution and CPG-vendor teams use for premium-channel category management.
Typical use cases
- Amazon-segment analysis: Whole Foods visitation contribution modeling
- Competitive visitation benchmarking vs. Trader Joe's, Sprouts, Erewhon
- Premium-channel CPG-vendor category management
- Prime-member incrementality analysis via visit-absence correlation
Underlying GSDSI products and research
Location & Mobility Data Feed: Foot Traffic, O-D
Daily location and mobility data with a US and Canada feed and country-specific coverage. Origin-destination flows, dwell and visit attribution, consent-based.
Enterprise POI Polygons & Geofencing Data Feed
Global POI inventory and geofence-ready polygons for foot-traffic and site selection. Deduped, polygon-quality validated, refreshed on a per-dataset schedule.
CPG Transaction Feed, 71M DAUs, Daily Signals
~71.5M daily active users and ~390M purchase signals/day. Item-level, receipt-linked transactions for CPG brands, agencies, retailers, and equity research.
Alternative Data for Finance (Tickerized Signals)
Tickerized consumer signals for fundamental research and quant strategies. Foot-traffic, card, web-intent, and ACR mapped to public equity tickers. Quant-ready.
Competitive Benchmarking Data (Foot Traffic)
Foot traffic, market share, and transaction trends across retail, CPG, and restaurant categories. Track share-of-visit vs. competitors with daily-fresh data.
CPG Signals in Alt Data: 71M DAUs Explained
What transaction-level CPG signals from a 71M DAU panel actually reveal about brand share, category trends, and private-label shift, and how to use them.
How CRE Investors Use Origin-Destination Data
Worked examples of how origin-destination mobility data sharpens site-selection underwriting, tenant-mix planning, and lease-negotiation decisions in CRE.