Unacast launches new machine learning powered Foot Traffic Datasets

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NEW YORK, May 02, 2023 /PRNewswire/ – As the global supply of GPS location data becomes more prolific but less stable, those who work with it are increasingly concerned with the issue of data validity. Today, Unacast launched its new Foot Traffic Datasets powered by machine learning to produce even more valuable insights for commercial real estate, retailers, and investors.

Unacast’s Foot Traffic Datasets are different in that they use both a GPS data aggregation model and a machine learning model to determine location visitation statistics and insights. When validated against ground truth data, Unacast’s models recorded an R-Squared of 91.6% or higher, widely considered to be best-in-class.  

"Adding machine learning to the mix both unlocks the power of location intelligence and reduces the risks inherent in the location data industry. From our years of experience of working with GPS data we understand how many issues can arise from even the best of publishers. Our model solves for this by combining multiple refined data sources, and is validated to ground truth, so clients can trust that the output is stable, reliable, and future-proof,” said Chief Product Officer Jonothon Schuster. “This opens up a range of exciting use cases in real estate investment, portfolio management and competitive intelligence."

About Foot Traffic Datasets

Foot Traffic Datasets from Unacast are available for the entire United States, with history available from October 2018. Data is refreshed weekly, on a four day lag, and is available for delivery via API, AWS S3, or you can work directly with the data in Google Cloud BigQuery. There are seven foot traffic datasets available:

  1. Weekly Foot Traffic: weekly estimated visitation to your location.
  2. Monthly Foot Traffic: monthly estimated visitation and visitor demographics to your location.
  3. Quarterly Foot Traffic: quarterly estimated visitation to your location, visitor demographics, visitor capture rate, visitor return rate, and visitor visit length.
  4. Dynamic Trade Area: home and work locations of your visitors.
  5. Dynamic Trade Area Distance: distance from home and work locations of your visitors.
  6. Cross Visitation: other brands your visitors go to.
  7. Visitation Pattern: how visitation is distributed throughout the week and by the hour.

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About Unacast 

Unacast provides the most accurate understanding of human activity in the physical world for retailers, real estate investors, consultancies, software analytics firms, and multinational organizations. Our Data-as-a-Service and Platform-as-a-Service offerings provide customers with clean, filtered insights to make better strategic decisions on a global scale. Learn more at unacast.com or book a meeting with us below.

Frequently Asked Questions

Discover how analyzing real-world movement patterns can reveal valuable trends in customer behavior, optimize business operations, and enhance strategic decision-making.

What is site selection and why is it important?

Site selection is the strategic process by which businesses identify, evaluate, and choose optimal locations for their operations. This process is paramount as the location of a business directly influences factors such as accessibility, visibility, profitability, and market longevity. For retailers, the right site can mean higher customer footfall and increased sales. In real estate, a well-selected site can promise lucrative returns on investment and tenant stability. Financial service firms leverage site selection to position their branches or ATMs in high-demand areas. Essentially, site selection plays a pivotal role in ensuring the success and growth of a business by aligning its physical presence with market opportunities and demands.

How does location intelligence enhance site selection?

Location intelligence refers to the harnessing of geospatial data to derive actionable insights, which can significantly enhance the site selection process. By analyzing data like consumer demographics, foot traffic patterns, competitor locations, trade area data, and more, businesses can make more informed decisions about where to establish or expand their operations. Location intelligence allows for a deeper understanding of market dynamics, revealing hidden opportunities or potential pitfalls. For instance, retailers can identify gaps in the market, real estate professionals can forecast property value trends, and financial service providers can assess areas with high customer demand. Advanced tools, like those offered by Unacast, further refine these insights by leveraging AI and machine learning, enabling more precise and timely decision-making.

What challenges do businesses face in the site selection process?

Unacast provides invaluable support to businesses during the site selection process through its advanced location data and analytics software, all powered and refined by Artificial Intelligence and Machine Learning technologies. The company offers a suite of products designed to deliver accurate, actionable, and comprehensive location intelligence. This data proves crucial for businesses looking to understand consumer behavior, analyze traffic patterns, evaluate competitor locations, and much more. With Unacast’s robust tools, businesses in retail, real estate, and financial services can derive insightful information necessary for making strategic, informed site selection decisions. The platform not only provides reliable data but also ensures it is readily actionable for businesses, whether they are looking to open a new store, invest in property, or expand their financial services to new locations.

What types of location data are crucial for informed site selection?

Demographic data offers insights into the age, income, and lifestyle of people in a particular area, helping businesses understand their potential customer base. Foot traffic data provides information on the number of people visiting a location, which is crucial for retailers to estimate the store's potential popularity and for real estate professionals to assess an area's vibrancy and demand. Geographic Information System (GIS) data helps in visualizing and analyzing geographical details, supporting companies in identifying accessible and strategically located sites. Understanding the proximity to competitors, accessibility, and the socio-economic profile of the surrounding areas is also vital. Unacast’s platform aggregates and analyzes these various data types, providing a holistic view that significantly empowers businesses in their site selection endeavors.

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