The FollowGraph dataset quantifies consumer interest in brands, influencers, media, and more at a geographic level.
Public Accounts
Unique segments
Venture Capital Enthusiasts
Spin Class Enthusiasts
Machine Learning Researchers
Hunting Enthusiasts
Duck Dynasty Fans
Country Music Fans
Handmade Enthusiasts
Conscious Consumers
Vegan Activists
Map the social following habits of millions of users to reveal what content, topics, and trends customers engage with.
Activate the FollowGraph dataset in any mapping application to discover the interests of a community.
Use the data in CSV or GeoJSON format in statistical analysis software like Python, R, Tableau, PowerBI, and Alteryx.
Just like our Proximity dataset, because our Web Visitation is independent from demographics, it adds a unique strength to your predictive model.
An overview of how this dataset was built.
Public social media accounts are connected to location to form a bridge between online social behaviors and geography.
Billions of data points from social, mobile, and demographic variables are integrated to calibrate AI models.
The likelihood to follow any of the 2000+ accounts and interests is predicted for each block group.
An index for all block groups vs. the nation is calculated to provide a precise view of population behaviors.
Explore the most common use cases for GeoWeb data.