Unacast Consumer Travel History Data | Aggregated Trade Area Dataset

Unacast Consumer Travel History Data is derived from Unacast's location data and proprietary machine learning model. Unlike typical aggregated products that rely solely on aggregating the underlying GPS device-level supply, our machine learning model is more robust and less dependent on GPS data fluctuations because it is based on a multitude of data sources. Our Trade Area Dataset is designed to enable users to analyze where consumers travel from to shop, dine, or visit other places of commercial interest. Based on your point of interest location, you will receive the percentage breakdown of visitors from each Census Block Group (CBG) based on their home or work location. Unacast offers trade area insights to millions of points of interest (POIs) and custom locations within the United States. Companies use Unacast Consumer Travel History Data for: - Catchment analysis - Site selection - Market analysis - Competitor analysis - Business intelligence - Advertising and marketing - Supply chain optimization - Travel and tourism trend analysis - Community and infrastructure planning - Operational and staffing strategies Our Trade Area Dataset is best used along with Unacast’s Foot Traffic Data and Demographics. Together, these datasets provide a comprehensive view of consumer travel patterns and profiles. These machine-learning powered datasets were built with a privacy-first mindset to give you peace of mind as you solve your biggest business problems.