Quantify the social characteristics of areas
Combine trade area demographics with social behaviors in close proximity to reveal previously hidden location characteristics that drive business success.
Improve location decisions by knowing what areas are really like
The Proximity dataset classifies neighborhoods by their social media behaviors. Sources include geotagged posts from Twitter, Instagram, Facebook, Flickr, Foursquare, and more.
72
Unique segments
52M
Social users
14.8M
Data points
92%
Block groups
Sample data
Data for Nashville, TN and surrounding areas.
Customer Segmentation Toolkit
Learn how to build an effective customer segmentation to center your team on your #1 asset: your customers.
Explore each segment in detail with insight-rich data visualizations
The Proximity taxonomy brings each segment to life with beautiful imagery and insight-rich data visualizations. Get ready to explore a whole new world of social insights.
From geotagged posts to geographic insights
Creation
People geotag posts about what they are doing or experiencing in a location.
Collection
We clean posts and aggregate at the block group level to analyze text and hashtags.
Categorization
Using machine learning, we cluster mathematically related words into segments.
Classification
We score block groups as percentiles (0 to 100th) vs the national average (50th).
Deeper insights for higher ROI
Discover the consumer and location insights you need to grow
Schedule a free, personalized demo to see the data in action.