Point of Interest and Footfall Data

In a world where understanding consumer behavior is crucial, foot_traffic is your ultimate solution for gaining unparalleled insights into specific locations. With over five years of historical visitation data and predictive analytics, pass_by empowers businesses to make informed decisions that drive success. At pass_by, we know that bad data leads to bad decisions. That’s why our in-house team of data scientists and machine learning experts have spent years ensuring our data is to the highest standard possible.

• Ground truth validated: Our Footfall Intelligence Data is trained and validated against in-store foot traffic counters, enabling a daily correlation accuracy of up to 0.96 when compared to actual observed footfall.
• Largest sample panel: The location data of over 185 million US mobile devices are analyzed to power our analytics.
• Representative panel: This panel of devices closely matches the US national average on age, income, race and more, making them a representative sample of the population.
• Proprietary AI models: From clean data, to attributing store visits, to producing predictive insights - our AI models are the key to the quality of our datasets.
• Comprehensive network of datasets: As well as location data, these models are powered by census data, Safegraph’s point-of-interest data, Transunion’s consumer data and more.
• Normalized and Scaled: pass_by’s data is scaled to represent the full population, and normalized so as to provide a consistent view of footfall over time.