
North America Foot Traffic, POI, and Building Polygon Data
Provided By: dataPlor

North America Foot Traffic, POI, and Building Polygon Data
Provided By: dataPlor
By combining best-in-class Point of Interest (POI) data, building polygons, and monthly mobility metrics, dataplor delivers privacy compliant datasets that inform critical decisions in retail site selection, market expansion, urban planning, targeted advertising, and more. Historical lookbacks and frequent data updates enable a broad range of analyses, whether you are exploring long-term trends, monitoring event impacts, or pinpointing optimal marketing opportunities.
Product offers
The following offers are available for this product. Choose an offer to view the pricing and access duration options for the offer. Select an offer and continue to subscribe. Your subscription begins on the date that your request is approved by the provider. Additional taxes or fees might apply.
Public offer
Payment schedule: Upfront payment | Offer auto-renewal: Not supported
$0 for 1 month
Overview
This is a free sample offered on the AWS Marketplace. Please contact dataplor for a custom sample and pricing at contact@dataplor.com. dataplor offers annual subscriptions with weekly updates and usage based pricing options.
This product includes:
POIs: Over 40 million meticulously verified and accurately geocoded locations 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.
This 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:
- Assess economic trends and evolving consumer interests.
- Benchmark competitor performance with greater accuracy.
- Pinpoint underserved market opportunities.
- Develop precise, data-driven forecasts.
Use Cases:
- Retail Expansion: Identify high-traffic areas for store openings.
- Marketing Optimization: Target areas with high consumer engagement.
- Real Estate Decisions: Evaluate potential commercial properties based on visitor trends.
- Competitor Analysis: Understand customer flows to competitor locations.
- Urban Planning: Inform city planners about pedestrian dynamics.
Why Our Data Stands Out:
1. Best-In-Class POI & Mobility Foundation
- Rigorous Verification: Each POI undergoes a multi-step validation process, ensuring real-world accuracy down to a granular level.
- Contextual Metadata: Rich attributes, such as categories, brand affiliation, and operational status, guarantee that you know exactly what and where you are analyzing.
- Continuous Updates: Our POI & mobility database is refreshed in near real-time, so your analysis is always grounded in the most current information available.
2. Building Polygons for Enhanced Spatial Detail
- Precise Boundaries: Map foot traffic within the exact physical outline of stores, malls, offices, and other buildings.
- Better Accuracy in Densely Populated Areas: Polygon-level data reduces the margin of error common in highly concentrated urban centers.
3. High-Frequency Mobility Metrics
- Visits & Foot Traffic Counts: Understand how many people visit a specific POI or building and how long they stay.
4. Privacy-Compliant & Secure
- Anonymized & Aggregated: All data is anonymized to safeguard individual privacy.
- Regulatory Adherence: Complies with CCPA, GDPR, and other international privacy standards.
Provided By
Fulfillment Method
AWS Data Exchange
Data sets (1)
You will receive access to the following data sets
Revision access rules
All historical revisions | All future revisions
Name | Type | Data dictionary | AWS Region |
---|---|---|---|
dataplor_foot_traffic_mobility_metrics_sample | Not included | US East (N. Virginia) |
Usage information
By subscribing to this product, you agree that your use of this product is subject to the provider's offer terms including pricing information and Data Subscription Agreement . Your use of AWS services remains subject to the AWS Customer Agreement or other agreement with AWS governing your use of such services.
Support information
Support contact email address
Support contact URL
Refund policy
Refunds are not available for this product.
General AWS Data Exchange support