dataplor’s North America Foot Traffic, POI, and Building Polygon Data - Powered


By dataplor

Solution details


Platform:

Online

Description:

dataplor’s North America Mobility Data offers the most reliable, privacy-compliant insights into how populations move, congregate, and interact with locations throughout the United States, Canada, and Mexico. We achieve unparalleled precision by building our mobility data on the most accurate foundational Point-of-Interest (POI) dataset in the industry—ensuring that every foot traffic statistic, visit count, and origin-destination flow is anchored to the correct location. This product includes: - POIs: Over 40 million meticulously verified and accurately geocoded Points-of-Interest across North America, forming the foundation of all mobility metrics. - Building Polygons: Detailed building footprints to enhance spatial accuracy and understand foot traffic distribution within specific structures or complexes. - Mobility Data: Aggregated and anonymized device movement information to analyze where, when, and how populations travel. dataplor’s foot traffic product addresses a significant gap in location intelligence by combining precise POI data with accurate foot traffic counts. Traditionally, businesses rely on demographic or static market data, which often fails to capture the dynamic nature of consumer behavior. By including foot traffic insights, businesses can gauge not just the market potential of a location but also its real-world popularity and activity patterns. This enhanced perspective allows users to: (1) Assess economic trends and evolving consumer interests. (2) Benchmark competitor performance with greater accuracy. (3) Pinpoint underserved market opportunities. (4) Develop precise, data-driven forecasts. By providing GDPR-compliant, non-PII mobility data paired with the most comprehensive POI data for the US, Canada, and Mexico the product ensures businesses can act with confidence while maintaining data privacy standards. Use Cases: (1) Retail Expansion: Identify high-traffic areas for store openings. (2) Marketing Optimization: Target areas with high consumer engagement. (3) Real Estate Decisions: Evaluate potential commercial properties based on visitor trends. (4) Competitor Analysis: Understand customer flows to competitor locations. (5) Urban Planning: Inform city planners about pedestrian dynamics.

Industries:

Real Estate,Retail

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