What is Aggregated Foot Traffic Data? Examples, Datasets and Providers
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.
Real-Time Foot Traffic Data | Aggregated Foot Traffic Data | Location & Mobility Data | Global | 600+ Customers
Echo Analytics | Customer Journey | Europe | Aggregated Foot Traffic Data | GDPR-Compliant
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
DACH, Netherlands, Italy Foot Traffic Data | Footfall Analysis | Mobility Data | Aggregated Foot Traffic Data | Weekly Resolution
Aggregated Foot Traffic Data - Global Raw Location Data - 900+ Million Unique Devices - Quadrant
Global Alternative Foot Traffic Data
Xverum | ~48M POIs in Europe | Geospatial Data from European Countries | GDPR | Geo-JSON Format | Foot Traffic Data from EU | Real-time Location Data
Echo Analytics | Area Activity | Global Coverage | 11 Countries | Aggregated Foot Traffic Data | GDPR-Compliant
PREDIK Data-Driven I Aggregated Foot Traffic Data & Mobility Data I Measure Foot Traffic Density Statewide and Countrywide in the US
Monetize data on Datarade Marketplace
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.
Aggregated Foot Traffic Data Attributes
These are the most popular attributes for aggregated foot traffic data:
| Attribute | Description | Example |
|---|---|---|
| Visitor Volume | Total number of visitors in a specific area over time. | E.g., 10,000 visitors per day. |
| Temporal Patterns | Foot traffic trends by time (hour, day, week, etc.). | E.g., Peak traffic: 12 PM - 2 PM daily. |
| Demographic Data | Aggregated age, gender, or other visitor characteristics. | E.g., 60% female, aged 18-35. |
| Geographic Coverage | Locations or areas covered in the dataset. | E.g., Downtown business district. |
| Visit Frequency | How often individuals visit a location. | E.g., Average: 2 visits per week. |
| Dwell Time | Average duration visitors spend at a location. | E.g., 45 minutes per visit. |
| Mobility Patterns | Movement trends between locations. | E.g., 30% of visitors come from nearby mall. |
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.
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