How it works
Learn more about our geospatial knowledge Graph.
Explore FSQ Graph in action
Inform market expansion
Let’s say a business is entering a new market – Los Angeles – and needs to decide where to distribute their product, a hot sauce. They know it’s sold well at restaurants in the Chelsea neighborhood of New York City, so they want to find a similar neighborhood in Los Angeles to focus on for market expansion.
Build rich profiles of neighborhoods
We use FSQ Graph to develop a profile of the Chelsea neighborhood based on many different factors, connecting geospatial primitive datasets like our Places data and U.S. Census data.
Derive actionable insights
FSQ Graph dynamically recommends a rank ordered list of Los Angeles neighborhoods most similar to Chelsea, along with the relevant points of interest for the business to target in their expansion.
Rather than organizing location data around individuals, FSQ Graph enables us to derive rich location insights grounded in spatial units, such as a POI, H3 cell, or a neighborhood, further protecting consumers’ privacy.