data Overview
A first-of-its-kind AI-driven, geographic, social media dataset
The FollowGraph dataset quantifies consumer interest in brands, influencers, media, and more at a geographic level.
52M
Public Accounts
2,000+
Unique segments
CBG:
060373116001
Venture Capital Enthusiasts
Index: 236
Spin Class Enthusiasts
Index: 232
Machine Learning Researchers
Index: 229
CBG:
361031905032
Hunting Enthusiasts
Index: 244
Duck Dynasty Fans
Index: 240
Country Music Fans
Index: 188
CBG:
060372736001
Handmade Enthusiasts
Index: 245
Conscious Consumers
Index: 239
Vegan Activists
INDEX: 207
advanced location intelligence
Social following meets physical location
Map the social following habits of millions of users to reveal what content, topics, and trends customers engage with.
Map It
Activate the FollowGraph dataset in any mapping application to discover the interests of a community.
Predict It
Use the data in CSV or GeoJSON format in statistical analysis software like Python, R, Tableau, PowerBI, and Alteryx.
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
Connect
Public social media accounts are connected to location to form a bridge between online social behaviors and geography.
2
Calibrate
Billions of data points from social, mobile, and demographic variables are integrated to calibrate AI models.
3
Categorize
The likelihood to follow any of the 2000+ accounts and interests is predicted for each block group.
4
Calculate
An index for all block groups vs. the nation is calculated to provide a precise view of population behaviors.
Use Cases
Explore the most common use cases for GeoWeb data.
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