Placer.AI is a data analytics firm that focuses on offering valuable information on foot traffic and consumer actions. To gather data, the company employs multiple techniques, such as GPS tracking, WiFi triangulation, and cellular network analysis.
GPS Tracking
One of the primary ways that Placer.AI collects data is through GPS tracking. The company uses a network of sensors to track the movements of people in real-time. This allows them to identify patterns and trends in foot traffic, such as which areas are most popular at certain times of day or which stores are seeing the most visitors.
WiFi Triangulation
Another method that Placer.AI uses to collect data is WiFi triangulation. This involves analyzing the strength and direction of WiFi signals to determine the location of devices. By combining this information with other data sources, Placer.AI can create detailed maps of foot traffic patterns.
Cellular Network Analysis
Finally, Placer.AI also uses cellular network analysis to collect data. This involves analyzing the movement of mobile devices across cellular networks to identify patterns in foot traffic. By combining this information with other data sources, Placer.AI can create even more detailed maps of foot traffic patterns.
Conclusion
In conclusion, Placer.AI uses a variety of methods to collect data on foot traffic and consumer behavior. These methods include GPS tracking, WiFi triangulation, and cellular network analysis. By combining these data sources, Placer.AI is able to provide valuable insights into foot traffic patterns and consumer behavior.
