The Source of Truth for Physical Places

Unlock innovation with the most accurate dataset of US commercial POIs and their visitors.

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Industry leading location stacks run on SafeGraph
Business listing and building footprint dataset for places people spend money (~5MM POIs in US).
Places Patterns
Store visit traffic and demographic aggregations that answer: how often people visit, where they came from, where else they go, and more.
Seamlessly integrate your existing POI data with SafeGraph's enriched Places data.

Neoway's Retail Insights

Learn how Neoway leveraged SafeGraph data to better understand food and beverage retailers and close a significant deal.

View Case Study

Truth seeking requires complex data organization

All of the signal, none of the noise
Complete POI Information
Business category, open hours, visit count, popular times and more are associated with each POI. The top 3,000 brands are mapped to over 1MM POI and noisy locations are removed (ATMs, kiosks, etc.).
detailed & accurate geometry
Precise Polygons
Building geometry is derived from satellite imagery and places are spatially hierarchical. Polygons for sub-stores are specified and tied to their parent store geometry (e.g. Starbucks inside a strip mall).

Algorithmically combining the best of all data sources

Onboard data from several diverse sources. Compare, de-dupe, cross-reference, and discard bad data.
Complex polygons are drawn by hand and others are derived from satellite imagery.
Use machine learning and human feedback to programmatically merge POI metadata and geometry.
Algorithmically classify brands and spatial hierarchy. POIs (like restaurants) can exist within other POIs (like airports).
SafeGraph leverages unique truth sets to continually improve the accuracy of our Places.
Places updates are delivered on a monthly basis.

Ready to analyze or develop?

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