Retail & Commercial Real Estate

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 approximately 40 retail and restaurant chains, many of which are bellwether anchor tenants for shopping centers.

 

Retail Products:

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).

Customer Types:

  • Fundamental Investors
  • Quantitative Investors
  • Long-only Investors
  • Corporate retailers and restaurant chains looking at competition

Retailer Reports

Interactive Retailer Reports provide year-over-year traffic growth and breakouts by:

  • Week
  • Day of Week
  • Time of Day
  • State
  • Region
  • Store format
  • Local demographics

Store-Level Data

Datasets include the sample of store-level parking lot counts used to generate monthly growth rates, Signals, and Retailer Reports.

All parking lot counts are time-stamped and appended with store address, region, and zip code-based demographic data for internal models and analysis.

Mall Data

Historical and ongoing measurements of year-over-year mall traffic growth for a large representative sample of US malls.

  • Indoor
  • Outdoor
  • Outlet
  • REIT-Owned
Retailer Reports
Store-Level Data
Mall Data

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Real Estate Products

CRE Trends

RS Metrics CRE Trends is a web application that provides data, trends, and analysis for individual commercial real estate properties such as malls, shopping centers, stand-alone retail locations, and office and industrial parks, based on changes in daily, weekly, monthly, and year-over-year parking lot traffic growth.

The application also allows users to compare and benchmark properties against relevant local, regional, and national properties, and regional and national averages by property type/owner.

Data feeds with timestamped store-level traffic observations are available weekly and monthly, for combination with existing data, models, and systems. 

Customer Types:

  • Commercial real estate investors - issuers, acquirers, and investors in all types of commercial real estate
  • Investors for assessing risk
  • CMBS trading desks and investors 
  • Large and small retail chains looking to measure traffic for site selection
  • Small business owners looking to generate traffic history for one or more locations
  • Corporate retailers and Consumer Packaged Goods (CPG)
  • Hedge funds investment funds, both fundamental and quantitative  
CRE Trends
Customer Types:

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