Foot traffic analytics and point-of-interest analytics help large chains supplying contractor-grade building materials and home improvement products measure footfall and understand consumer behavior patterns in any given zone of interest
Footfall analytics have revolutionized the way retailers implement site selection, commercial and operational strategies in the quick-service restaurant franchise market.
The correlation between location and footfall analytics, visits, sales, and
POI characterization through Big Data has become more frequent as it allows the implementation of strategies and site selection solutions within the various business sectors.
Leaders use these techniques to …
Heat maps are used by any business sector to identify foot traffic and vehicular mobility patterns in an area or point of interest, as their visualization presents multiple pieces of
Identifying mobility patterns and classifying consumers within a point of sale or areas of interest helps large retail fast fo measure foot traffic in and out of their stores while
Footfall analytics and POI characterization through Big Data are being used by retail industry leaders to make smarter business decisions, by maximizing revenue and optimizing costs.
Case Study: Footfall analysis
Thanks to predictive modeling and artificial intelligence (AI), marketers can now leverage these tools to segment audiences beyond traditional parameters and build a more accurate profile of consumers.
By applying
Foot traffic analytics and location intelligence techniques have become key factors in the real estate investment process.
In the process of searching for selecting areas for the acquisition of properties
