You input a polygon drawn around the address of the retail business where you are interested in learning about visitor traffic and the report will provide valuable data about your customer base in that area. You can also add filters to help you see only the data that's relevant to you and your business.
The Service uses data collected from mobile phone users who have agreed within their apps and phone settings to enable location information. We combine mobile phone data with proprietary technology to generate the information made available by the Service.
The Service includes mobile phone data with latitude/longitude points that are accurate to approximately 20 feet. Many of our competitors rely on cell tower data, which is only available with a range of over 1,000 feet.
We provide five proprietary data views that are designed to help make intelligent business insights: Common Evening Location, Common Daytime Location, Path-to-Purchase, Optimal Geospaces and Pulse Demographics Data.
Common Evening Location and Common Daytime Location are determined by a sophisticated algorithm developed by our data science team to provide anonymous information about where visitors likely live and/or work.
Path-to-Purchase data evaluates where store visitors were in the two hours before arriving within the polygon. This data set shows the most traveled corridors into your location, whether it is an interstate, a residential route or a public transportation path.
Day-parting filters can be applied to both data sets so that you can evaluate Common Evening/Daytime Location of lunch visitors vs. dinner visitors or Weekend Path-to-Purchase versus Weekday Path-to-Purchase.
Optimal Geospaces are a highly scalable, single-variable trade area contour for use in advanced modeling and SMB decision making. Our patent-pending algorithm uses visitors’ origin and pathing mobile GPS coordinates to determine a predominant customer draw area based on real-world behavior.
Pulse Data set that reveals changes in cell activity over time in a particular region, broken down by census block.
Yes. UberMedia Retail lets you specify a time frame, e.g. peak Christmas shopping dates, in order to compare visitor patterns to your overall patterns. If the time frame is left unspecified, the results will include all data gathered from the past 9 months.
Yes. Our tool lets you select a maximum or minimum number of visits so that you compare frequent visitors, employees or residents to one-time visitors.
We see a sample of location visitors. For us to see a user, they need to have actively used their phone while in the polygonned location. The percent of total visitors we see varies from location to location.
To help identify how heavily trafficked a location is we use a density system. Each location is scored as low, medium or high density. The density categories are relative to general retail locations throughout the US.
A heavily trafficked large restaurant or big box store in a densely populated area would likely score high density, whereas a smaller retail location or a location in a more rural area might score low density.
If a location has recently opened we will see some data for it. Data inputs are updated as quickly as every 24-hours. We will begin to see visitors to a new location as soon as 24 hours after opening, however it takes a few weeks and sometimes months to accumulate a highly representative data set.
If a location has not yet been opened, we cannot see visitors. However, if you are evaluating a location that was previously open, there will be historical visitor data. It may also be useful to evaluate nearby or similar locations.
UberMedia Retail has data for numerous international locations. While we have not defined Common Daytime and Evening Locations for countries outside the U.S. yet, we can easily do this using the previous week's worth of data. We are currently working on defining Common Daytime and Evening Locations in Australia, Canada and Mexico. Contact us for more specific information about international coverage.
Our subscriptions auto-renew monthly. If you would like to discontinue, just email us and we will terminate your subscription at the end of the current monthly billing period.