Unacast’s data feeds are used by a range of industries, including for investment in real estate and equities, by retailers for site selection and measuring foot traffic at stores, by the public sector to plan public spaces and key infrastructure, by logistics companies to inform warehousing and transportation, and by the financial industry to inform alpha, detect market shifts, and measure portfolio risk. Find more information about our use cases.

Unacast offers fresh, high-quality data feeds with dense location data for multiple markets globally. Our Neighborhood and Venue data packages are refreshed every 4 to 26 days, depending on the exact dataset. Our Emerging Areas and Migration patterns data packages are refreshed every 10 weeks, to account for extended holidays, etc.

Currently, our datasets extend back to Q1 2019. In some instances we have data into 2018, depending on the specific use case. We are continually abridging our models with complementary data sets, so rearview-looking timeframe may extend more accurately into the future.

Each of our datasets has a clearly defined schema that is well-documented for users ingested in our feeds. Read more about Unacast's data accuracy.

Unacast uses various techniques to increase the reliability of our insights, including supply correction, bias correction, and extrapolation. Without these, users may end up with phantom fluctuations that skew the location data sets and result in inaccurate human mobility insights. Please see our Methodology section for more information.

Correlation can get tricky — depending on which method you choose, you can make data say anything you want. But you want to make sure that the data is telling you the truth, not just what you want to hear. Unacast deploys a team of data scientists to make sure that our data is high-quality and reflects real-world events; and to make sure that the deliverable enables our clients’ specific use cases. We work hard to understand which problems our clients are trying to solve, which questions they’re trying to answer, and which audiences they’re trying to reach before we propose specific solutions.

Iteration is the best path to quality. We regularly compare our products to third-party or independent sources to identify where improvements can be made. Unacast employs truth sets such as the number of devices that connected to a venue’s wifi as a proxy for visits. To learn more about how accurate our data is, check out the Ground Truth Analysis of Unacast’s Foot Traffic.