What is Aggregated Foot Traffic Data? Examples, Datasets and Providers
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Aggregated Foot Traffic Data?
Aggregated foot traffic data provides insights into the movement patterns of groups of people within specific areas or around certain points of interest (POIs). It’s collected from mobile devices and is anonymized to protect individual privacy. This data helps you understand how many people are visiting an area, how often, and for how long.
What Are Examples of Aggregated Foot Traffic Data?
Examples of aggregated foot traffic data include datasets that analyze movement trends and patterns. Key examples include:
- Total Visitor Count: Overall number of visitors to a location over a specific time period.
- Peak Visit Times: Times of day or days of the week with the highest foot traffic.
- Average Dwell Time: Average duration visitors spend at a location.
- Visitor Frequency: Rate of repeat visits by the same individuals.
- Visit Trends Over Time: Changes in foot traffic patterns across weeks, months, or seasons.
- Impact of Events: Changes in foot traffic due to promotions, holidays, or local events.
Best Aggregated Foot Traffic Databases & Datasets
The best aggregated foot traffic datasets provide accurate visitor counts, movement trends, and time-based analysis for business and planning applications. This curated list features the top foot traffic datasets, selected for precision, quality, and trusted providers.
Customer Journey | Europe | Aggregated Foot Traffic Data | GDPR-Compliant
Real-Time Foot Traffic Data | Aggregated Foot Traffic Data | Location & Mobility Data | Global | 600+ Customers
PREDIK Data-Driven I UK Aggregated Foot Traffic Data & Mobility Data I Measure Foot Traffic patterns within the United Kingdom
Reliable, Compliant, Precise Foot Traffic & Mobile Location Data | Real-Time, Aggregated Foot Traffic Data | Middle East
Irys | Mobility Data Insights | Global | Real-Time & Historical [Foot Traffic Data]
Factori Geospatial Data | Global | Location Intelligence | POI , Foot Traffic, Store Visit
North America Foot Traffic, POI, and Building Polygon Data | GDPR Compliant | No PII | 40+ million POIs
Area Analysis | Aggregated Foot Traffic Data | 11 Countries | GDPR-Compliant
PREDIK Data-Driven I Aggregated Foot Traffic Data & Mobility Data I Measure Foot Traffic Density Statewide and Countrywide in the US
Mobile Location Data | NORTH AMERICA | Mobility Data | Foot Traffic Data | Mobile Device GPS
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Top Aggregated Foot Traffic Data Providers & Companies
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Echo Analytics
CoverageUSAUK+248VThe recent webinar by Echo on their data collection process was excellent, very well explained and lucid. I understood how complex the process is to clean the data. Their product is a really interesting one.
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Predik Data-driven
CoverageUSAUK+247VWe wanted to analyse the foot traffic data across Sydney. Predik provided quality traffic density heatmap and raw foot traffic data across Sydney Australia to support us with the use case. Highly recommended.
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Veraset
CoverageUSAUK+235Rebranded in 2019, we are a leader in location data, providing raw and pre-processed population movement datasets. We fuel innovation and empower leaders in startups, enterprises and the public sector to understand and predict population movement, thereby making more informed decisions.Opt-In100%CompliantCountry & StateDedup'dData -
Intuizi
CoverageUSAUK+98VWe use intuizi to help us with insight and marketing data - so we can better reach our audiences with relevant messaging, and encourage repeat purchase! Would highly recommend and the team were really helpful.
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Factori
CoverageUSAUK+247BMobility data was used to track where people flock during quarantine, and to understand how people moved out of the urban centers and to the provinces. Might also be used for retail clients to understand what adjustments are needed to adapt better to the situation.
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Huq Industries
CoverageUSAUK+247VHuq’s data is real-time and that makes the data in the TE dashboard even stronger and more valuable. Both local and central government bodies will be able to use it to get a clearer picture of the real economic impacts of Covid-19 across the country. Benjamin Lucas (PhD, FHEA), Managing Director at 3DI
Popular Use Cases for Aggregated Foot Traffic Data
A key use case for aggregated foot traffic data is footfall analytics, where businesses evaluate visitor trends to optimize store layouts, product placement, and marketing strategies. Another important application is footfall measurement, which quantifies pedestrian activity to assess the success of events, retail locations, or public spaces.
Main Attributes of Aggregated Foot Traffic Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 25 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 21 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 15 datasets | |
| String | The name of a country. | View 11 datasets | |
| String | Mobile Ad ID is a sequence of random symbols, given by the mobile device’s operating system. It’s shared with the servers of the apps that the user is using to track his customer journey and “remember” his or her choices. | View 11 datasets | |
| String | An identifier (ID) for a brand. | View 9 datasets |
Frequently Asked Questions
How Accurate is Aggregated Foot Traffic Data?
The accuracy of aggregated foot traffic data depends on the sources and the provider. Many providers use deterministic GPS data, which is considered highly accurate. For example, some datasets can offer a 19-meter precision level, giving you a clear picture of visitor density and movement in a specific area. If you need precise foot traffic insights, such as in crowded shopping areas or busy streets, we recommend choosing data with high horizontal accuracy (within 20 meters) for the best results.
How Frequently is Aggregated Foot Traffic Data Updated?
Aggregated foot traffic data can be updated in real-time, daily, or weekly depending on your needs. Providers like Huq Industries offer daily updates, ensuring you always have the most current insights on visitor movement patterns. For businesses in fast-moving industries like retail or real estate, we recommend opting for daily or real-time updates.
How Can Aggregated Foot Traffic Data Be Used?
Aggregated foot traffic data can be used in many ways, from assessing retail location performance to optimizing advertising strategies or improving urban planning. If you’re planning a new store or location, aggregated foot traffic data can help you choose high-traffic areas. For marketing, it’s great for targeting locations where your customers are spending the most time.
How is Aggregated Foot Traffic Data Delivered?
Aggregated foot traffic data is typically delivered in formats such as .csv, .json, or through APIs, allowing for easy integration into your existing tools. Data is usually delivered via cloud storage solutions like S3 buckets or through secure FTP. For teams that need constant access to fresh data, we suggest setting up an API feed.
How Much Does Aggregated Foot Traffic Data Cost?
Pricing for aggregated foot traffic data varies based on the data volume, geographic coverage, and the frequency of updates. Many providers offer flexible options, such as pay-per-use pricing for API calls or more traditional monthly and yearly subscriptions. If you’re unsure how much data you’ll need, start with a smaller package or usage-based pricing.
What Geographic Areas Are Covered by Aggregated Foot Traffic Data?
Aggregated foot traffic data typically covers large geographic areas, often spanning entire countries or regions. Many providers offer global coverage across hundreds of countries, enabling businesses to analyze foot traffic in a variety of markets. Make sure to verify the geographic coverage with your provider.
How is Aggregated Foot Traffic Data Secured?
Aggregated foot traffic data is anonymized to protect individual privacy. This means personal identifiers are removed, and data is grouped to show overall trends rather than tracking specific individuals. Providers also comply with regulations like GDPR to ensure legal and ethical data usage. Choose a data provider that prioritizes privacy and security to ensure your company remains compliant with international data protection laws.
