Behavioral Data
By looking at behavioral data insights, decision-makers in Retail, Real Estate, CPG & beyond can gain valuable insights on consumers by location. Looking at different segments of geosocial data in relation to physical assets can provide key insights for marketing, expansion, consolidation, merchandising and much more.

Behavioral Datasets
United States of America · Behavioral
Spatial.ai
Proximity Data - United States of America (Census Block Group)
Licence
Premium dataPlacetype
Census RegionTemporal aggr.
QuarterlyUnited Kingdom · Behavioral
Spatial.ai
Proximity Data - United Kingdom (Lower Super Output Areas)
Licence
Premium dataPlacetype
Census RegionTemporal aggr.
QuarterlyUnited States of America · Behavioral
Spatial.ai
PersonaLive Social Media Segmentation - United States of America (Census Block Group)
Licence
Premium dataPlacetype
Census RegionTemporal aggr.
QuarterlyUnited States of America · Behavioral
Spatial.ai
PersonaLive Social Media Segmentation - United States of America (County)
Licence
Premium dataPlacetype
Admin. RegionTemporal aggr.
QuarterlyUnited States of America · Behavioral
Spatial.ai
PersonaLive Social Media Segmentation - United States of America (5-digit Zip Code Tabulation Area)
Licence
Premium dataPlacetype
Postal CodeTemporal aggr.
QuarterlyCanada · Behavioral
Spatial.ai
Proximity Data - Canada (Dissemination Area)
Licence
Premium dataPlacetype
Census RegionTemporal aggr.
Quarterly
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Example of Behavioral Data Analysis
Outdoor Advertising Firms
Outdoor Advertising firms turn to geosocial data to understand consumer behaviour trends. After COVID-19, there were some clear patterns such as more political debate, as well as trends relating to family and faith. This data can provide OOH firms with unique insights to drive better campaign ROI.
Category
Data Set


Example of Behavioral Data Analysis
Retailers
Retailers rely on geosocial data to look at the relationships between social media behaviors and restaurant sales, enabling QSRs to optimize their brick and mortar footprint accordingly in each territory. In this example, a chain compared their sites in Los Angeles and Chicago using data from Spatial.ai and Mastercard.
Category
Data Set
Discover other Spatial Data Categories
Real Estate
Property statistics, prices, and history to drive decisions and investment.Demographics
The most recent census data including: age, income, household types, and more.Financial
Merchant and ATM transaction data from leading banks and credit card companies.Road Traffic
Data from routing apps and GPS to analyze traffic patterns and commuters.Human Mobility
Mobile device and GPS data provide insight into human movement patterns.POI
Location data for business establisments, restaurants, schools, attractions…Environmental
Climate and weather data, including exposure to weather-based hazards.Boundary
Digital boundaries for data aggregation and display on a map.COVID-19
Data especially curated to analyse the impact of the COVID-19 pandemic.