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    Global Dataset | Point-of-Interest & Foot Traffic Location Intelligence

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    Sold by: Dataplor 
    Deployed on AWS
    Dataplor’s Global Dataset delivers accurate, globally consistent place and foot traffic data built for enterprise-scale analytics and decision-making world-wide. Designed to integrate seamlessly into existing systems, our Global Dataset enables teams to combine verified point-of-interest and foot traffic insights with internal data to power models, products, and strategy with confidence. With consistent, real-world market signals and privacy-first design, our Global Dataset supports expansion planning, benchmarking, risk analysis, and growth worldwide.

    Overview

    Datasets Leveraged:

    Point-of-Interest (POI): Single, unified dataset covering more than 370 million global business locations across 250+ countries and territories Foot Traffic & Mobility: Privacy-safe, aggregated insights into real-world movement and visitation patterns Brands: Standardized brand and chain data covering 15,000+ global brands Trade Areas: Behavior-based maps that show where visitors actually come from, based on real movement data Polygons: Detailed location boundaries that help to better understand space, layout, and on-site activity

    Data Built for Scale & Consistency:

    Dataplor provides a globally standardized, continuously updated foundation for organizations that need to understand how businesses perform in the real world—at scale and with precision.

    Global Business Profiles: Verified business records with official names, brand affiliations, ownership details, industry classifications, and unique location IDs. Business Classification & Context: Detailed business categorization by industry, product type, brand, operational status, and parent company relationships. Location Precision: Accurate address data, geographic coordinates, H3 indexing, and polygon boundaries for precise spatial analysis. Operational Intelligence: Business hours, verified openings and closures, and historical status tracking to monitor location changes over time. Foot Traffic & Visitation Metrics: Weekly aggregated visit counts, dwell-time metrics, popularity indices, sentiment indicators, and proprietary performance signals derived from privacy-compliant mobility data. Data Quality & Validation: Continuous quality checks powered by machine learning, human review, and perpetual accuracy monitoring. Reliable Data Delivery: Weekly delivery via S3, SFTP, Snowflake, Box, Google Drive (CSV or JSON formats)

    Use Cases:

    We help organizations understand where businesses are, how they operate, and when people interact with them across every market.

    Market & Competitive Analysis: Benchmark markets, categories, and competitors using rich location and visitation trends across regions. Spatial Analytics & GIS Integration: Enhance maps, spatial models, and GIS workflows with precise geocoded POIs and polygon boundaries. Predictive Modeling & Analytics: Feed high-quality global data into predictive models, risk frameworks, and econometric analyses with confidence in completeness and consistency. Operational Intelligence: Power internal dashboards and analytics systems with near-real-time insights into location activity, business openings/closures, and visitation trends. Strategic Growth & Expansion Planning: Identify growth opportunities, regions with untapped demand, and emerging market signals using global footprint and movement data. Risk & Compliance Modeling: Support risk frameworks and compliance models with reliable, global location inputs that reflect real-world change rather than outdated snapshots.

    Highlights

    • Comprehensive global coverage: Access global datasets with rich spatial context, enabling consistent analysis across markets, sales territories, categories, and competitors.
    • Actionable market intelligence: Use detailed place attributes and foot traffic patterns to uncover visit trends, trade areas, competitive dynamics, and demand signals that support smarter investment and expansion decisions.
    • Privacy first foot traffic data: Fully anonymized and aggregated foot traffic signals ensure you meet regulatory and compliance requirements across global markets.

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    Usage information

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    AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.

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    Data sets (1)

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    You will receive access to the following data sets.

    Data set name
    Type
    Historical revisions
    Future revisions
    Sensitive information
    Data dictionaries
    Data samples
    dataplor POI & Foot Traffic Sample (US) — 170 records
    All historical revisions
    All future revisions
    Not included
    Not included

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