How a national fast food chain (QSR) used Near's Human Movement Data to select a new site

Using Near's data, this national QSR chain was able to conduct a rich analysis of the area of the proposed location and determine it would be a winning investment.

A national QSR approached Near about using Human Movement Data to evaluate an area for expansion using a current McDonald’s site as a proxy site for the proposed location.

The study location is a Nashville-area McDonald’s located near a major highway. The location is open 24 hours and also located near a number of shopping centers and malls.

 

 

Insights covered in this case study include:

Insight Report Used
When do customers visit the study location? Zero Point
How does that compare to competitors? Zero Point
How does the study location’s trade area compare to existing locations? Optimal GeoSpace
Where are customers coming from? Pathing
Where do they visit before arrival? Pathing
Where do customers spend their evenings? Common Evening Location
Where are customers during the daytime? Common Daytime Location
What are customers’ demographics? Demographics
What are customers’ affinities to other QSRs? Location Affinity

Try this for yourself by running a Vista Insights report, or learn about how to run these reports at scale using Vista Data Explorer

 

Insights provided by Near in this study are aggregated and de-identified, not tied to any single device or individual. Near adheres to GDPR and CCPA and has been certified for privacy compliance by Verasafe, an independent third party.