How Accurate is the Data?



Using patented technology and partnerships with the nation’s largest wireless carriers, AirSage collects and analyzes anonymous location data points from over 100 million mobile devices each day.

A mobile device can be a phone, PDA, tablet, etc. Each time one of these mobile devices interacts with the network – this can be the start of a call, end of a call, text message or data transfers… on average we are within 300 meters, but often we are within 50-100.

AirSage can analyze Points of Interest (POIs) at a national level. And with our large sample size, event data can be reported seasonally or even using historical, year-over-year data to gauge marketing ROI.


 Click here to download the Accuracy fact sheet



In almost every study, we compare our findings to as much local data as possible.  Many times AirSage data counts are higher than comparative models.  This is partially due to the fact that AirSage sees all trips. We account for visitors as well as residents – visitors are not typically seen in traditional models.

AirSage data counts can also sometimes produce numbers lower than comparative models.  Why?  Even when total trips are nearly equal, AirSage also sees job-to-job trips as Non-Home-Based (ex: think about a service technician… A plumber might report in a household survey that he “went to work” in the morning but throughout the day, he is traveling from job to job). 

In addition, because we see even the small trips – from the grocery store to Target, for example, our data includes more Non-Home-Based trips that can be underreported in other methods.

For more detailed information on our products and the accuracy of our data, sign up for one of our upcoming webinars


what otherS say ABOUT THE DATA

"The estimation of traffic flows using the AirSage data compares with 3% of the average daily machine counts for the same period. This is within the range of counter error and providesvery good correlation with the origin and destination data"
—Tom Hiles, HDR
"AirSage provided much more data across a larger area than we ever knew we could obtain."

 —Mike Wallace, Fehr & Peers