GeoWeb Data
Categorize and understand neighborhoods by their website visitation interests.
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data Overview
Use the predictive power of geographic website interest data.
Spatial.ai’s GeoWeb data categorizes website visitation data from desktop and mobile devices into 1000+ segments of digital behavior to be used for predicting retail and product success.
200M
Desktop Devices
87%
Block groups
1,000+
Unique segments
CBG:
361031905032
Lawn & Garden Enthusiasts
Index: 258.0
Coupon Researchers
Index: 251.6
Healthy Eaters
Index: 249.4
CBG:
060373116001
MLB Fans
Index: 191.3
Brides & Wedding Planners
Index: 120.6
New & Expecting Parents
Index: 160.8
CBG:
060372736001
Pet Owners
Index: 245.9
Eco-Conscious Consumers
Index: 194.8
Vegans
Count: 229.4
advanced location intelligence
Online behavior meets physical location
Map the web visitation of millions of users to reveal what content, topics, and trends customers engage with online.
Map It
Activate the GeoWeb dataset in any mapping application to discover the interests of a community.
Predict It
Use website interests in CSV or GeoJSON format in statistical analysis software like Python, R, Tableau, PowerBI, and Alteryx.
Spot Trends
Capture month by month snapshots of each census block group to discover trending interests.
Key Features
Real Website Behavior
Go beyond traditional data like demographics to see what customers nearby are really interested in.
Independent of Demographics
Enhance predictive modes by differentiating demographically similar locations by website behaviors.
Granular Storytelling Tools
Each segment tells the story of the interests of a community. Use GeoWeb to not only improve model performance but also reveal the “Why” behind the results.
Harness the predictive power of granular web visitation
Just like our Proximity dataset, because our Web Visitation is independent from demographics, it adds a unique strength to your predictive model.
How it works
An overview of how this dataset was built.
1
Connection
Cookies are crosswalked to mobile IDs to bring desktop behaviors to the physical world.
2
Homing
Each mobile device is homed to a given MGRS grid with statistical significance.
3
Categorization
Visits to similar websites are clustered into segments.
4
Calculation
A segment index is provided for all block groups compared against the nation.
Use Cases
Explore the most common use cases for GeoWeb data.
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