The Value of Trajectories
We are constantly ideating, innovating, and envisioning new ways to make our product better. Stops data is one of the main assets we use to create our products, which is why it’s fundamental to understand the algorithm that produces stops and how we can leverage the information we process along the way.
Stops data is obtained by algorithmically clustering data points. We collect these data points daily and compute stops into “points” based on where and how long a device has stopped. Beyond these datasets, it’s valuable to know what happens between two different stops to show how people move between two destinations. Understanding movement on this level creates the potential to identify travel routes, trade-area analysis, and traffic patterns.