Reports, Data & Predictive Signals for Retail
Measurements and analysis of customer car traffic at retail and restaurant chains, malls, office parks, and other commercial real estate properties.
Parking lot traffic (customers showing up at the store) represents fundamental demand for retail and restaurant companies, and provides deep insights about short and long-term business health. RS Metrics has developed easy to use applications, alerts, and predictive signals for investors and operators in Retail, Commercial Real Estate and Public Equities, based on proprietary retail traffic data generated from our large-scale imagery processing and analysis platform. Current retail coverage includes 3+ years for most US malls and all major retail and restaurant chains with parking lots, many of which are bellwether anchor tenants for shopping centers.
More about TrafficSignals
RS Metrics’ TrafficSignals is a web application that analyzes proprietary retail traffic data generated from satellite and aerial imagery. Provides chain-wide and regional measurements of year-over-year daily, weekly, and monthly parking lot traffic for major US retail and restaurant chains. Generates alerts and signals based on significant change in traffic growth that are predictive of quarterly revenue surprises and analyst consensus changes. Data feeds with timestamped store-level traffic observations are available weekly and monthly, for combination with existing data, models, and systems. Among many other uses, this store-level data can be used to measure market share shifts between individual stores or groups of stores, and for retailers can measure changes in shopper conversion (cars outside vs transactions inside).
- Fundamental Investors
- Quantitative Investors
- Long-only Investors
- Corporate retailers and restaurant chains looking at competition