Mobile Data for Actionable Business Insights

Understand the who, when, and where of your industry


ABOUT OUR DATA

Ditch the In-Store Surveys

Introducing the next-generation of mobile data for more actionable:



Trade Area Modeling and Cannibalization
Greenfield
Market Assessment
Behavioral and Spatial Analysis


Data-Powered Solutions


Location and Trade Area Analysis

  • Self-service online tool

    Analyze visitors' path-to-purchase, home and work location for visitors to any U.S. location within minutes.

  • Shopping Center Trade Areas

    View trade areas for any directory mall, assess demographics and pyschographic profiles and build cannibalization studies.

  • Visitor Personas

    View trade areas for any directory mall, assess demographics and pyschographic profiles and build cannibalization studies.

Learn More

Self-service online tool

Analyze visitors' path-to-purchase, home and work location for visitors to any U.S. location within minutes.

Shopping Center Trade Areas

View trade areas for any directory mall, assess demographics and pyschographic profiles and build cannibalization studies.

Visitor Personas

View trade areas for any directory mall, assess demographics and pyschographic profiles and build cannibalization studies.

Learn More

Full Access to UberMedia Insights Composite Data Sets

UberMedia Insights data is organized into six structured data sets designed to provide meaningful analysis at scale, while also allowing for granularity.

Available data sets include:

Visitor counts

Observed devices and time stamp of visit

Path-to-purchase

Visitors' observed locations before and after visit event

Common Evening Location

Derived, high confidence evening location for visitors

Common Daytime Location

Derived, high-confidnece daytime location for visitors

Generators

Locations that generated visits

Residents / Workers

Devices who live or work within a boundary

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Real-world measurement with mobile data

PULSE is a GIS-ready data set that lets you analyze real-world spatial trends based on mobile phone usage.

The data is built using a revolutionary source of mobile GPS data and advanced big data normalization techniques and provides a relative indication of people in each census block group per hour, based on real-world data.

  • Identify "hot" and "cold" neighborhoods
  • Empirical day pop and day-part data
  • Monitor trends over time
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Precise boundary files for retail chains

UberMedia Insights data is classified using a large, highly accurate collection of shape files that are hand drawn and verified using satellite imagery, street view and owner verification.

These files are available by category or brand in all standard GIS formats including: ShapeFile, MapInfo, GeoJson and KML.

Categories include:
QSR, Grocery, Auto, Home Improvement, Hotel and more
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