Olvin adopted SafeGraph Places and Geometry data to deliver precise store-level foot traffic insights in its Almanac platform. Previously, inaccurate polygons forced Olvin to aggregate data at the area level, limiting granularity. SafeGraph’s clean, accurate data passed validation tests and integrated easily, enabling Olvin to build a reliable attribution model. This allowed clients to access actionable insights for site selection, trade area analysis, and performance monitoring. By offering predictive foot traffic insights instead of summaries, Olvin strengthened its competitive edge and simplified decision-making for brick-and-mortar retailers.

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