Our Data
Validate your next business decision with our data-informed human mobility insights

Validate your next business decision with our data-informed human mobility insights
Our datasets can help you understand foot traffic to your venues, trade areas, and cross visitations. Make more informed decisions for site selection or deselection, and learn how to boost your competitive advantage.
Learn where, when, and which kinds of customers visit your competitors’ locations instead of yours (and vice versa).
Measure the impact of increased staff engagement, new products, pricing, and advertising.
Identify gaps in the local marketplace and other opportunities to expand your portfolio.
Understand how individual stores within a given brand are performing to selectively close or promote them.
Determine which community characteristics and population demographics help create a lasting visitor base.
Analyze population movements and the impact they have on local communities.
We create datasets of foot traffic, trade areas, and the cross visitation to help you solve your biggest business problem
Our foot-Traffic dataset helps you understand the visitation at a specific site or area – how many people visit, type of visitor, and traits of the visit (when people visit, how long they stay and how often they return)
Make better decisions by understanding home and work locations of your visitors.
Identify what shops your customers also visit to learn about their shopping preferences
Unacast works with partners to gather raw GPS data, from +130M smartphones and mobile apps.
We use GPS location data because it is the most reliable. It works by sending signals, or “pings,” from your mobile device to a constellation of satellites. GPS uses triangulation to determine where on the planet your device is, and describes that position using latitude and longitude. Each ping from a device also has a timestamp.
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The raw pings are clustered by our algorithms into events that indicate activity, such as dwelling at a location, or traveling and assigning retail venues and brands.
An array of latitudes and longitudes are of no use. That ́s why Unacast's data engine translates the raw data feed into something we can understand by adding context. In addition we assign events to census block group (CBG). While this is not the finest-grain map out there, we want to make sure that private information, such as people’s homes, are obfuscated and not discernible to an address. We can add CBGs together to measure neighborhoods, cities, counties, states, and even the entire country.
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We have datasets depending on your data maturity and needs: Foot Traffic, Dynamic Trade Areas, and Cross Visitation.
It’s tempting to think that once you add some context to the GPS pings on maps you’re done. There are literally an uncountable number of ways to make these datasets say different things, some of which are esoteric, and others that are downright conflicting. This is where the team of data scientists and business strategists at Unacast helps you “ask” the data just the right questions.
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