Enriching Locations with Real-World Consumer Behavior Data
summary
SafeGraph builds an enriched POI product that combines a places file, detailed polygons/geometries (including parent‑child like in‑store cafés and parking lots), and two behavior streams: patterns (mobility/dwell time and catchment by census block group (~2,000 homes)) and aggregated consumer spend. Validation uses satellite imagery, AI and manual QA and the spend stream is validated by correlating aggregated spend to quarterly earnings. The stack powers visit attribution, campaign planning, site selection, hotspotting and portfolio valuation and is proven in customer pilots.
AI-written summary · about
chapters (10)
- 0:00Introduction and speaker background
- 1:12Importance of POI data sets
- 2:15Challenges with static POI data
- 4:25Maintaining accurate POI data
- 7:10Core components of POI products
- 11:03Types of POIs and their complexities
- 14:31Validating POI metadata
- 19:18Enriching POIs with consumer behavior
- 25:37Use cases for enriched POI data
- 31:34Q&A and closing remarks
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