The OnSpot platform is a database of anonymous Mobile Ad IDs (MAIDs) allowing users to learn about visitors at selected locations in the United States.

The platform reviews tens of billions of MAIDs observations each day. We record each observation in our database using latitude/longitude and date/time stamp. In one month, we receive and process billions of location observations for millions of unique devices daily. We then process platform user requests, in the form of “Audience Parameters” from the user, and query the database to return a list of MAIDs that have been observed within a defined polygon (Geoframe) for a specific date range. Date ranges can be customized and can provide a set of MAIDs going back up to 1 calendar year. OnSpot’s data is organized and stored so that it is only possible to return MAIDs at a given location – there is no capability for OnSpot or its users to trace the history of an individual MAID.

OnSpots technology associates MAIDs with household demographic and customer loyalty data. This enables OnSpot to provide geographic and demographic characteristics - including age, gender, financial information, interests, etc.

OnSpot aggregates data from two primary sources. The first is commercial data vendors that aggregate location data from SDKs installed in thousands of mobile applications. The second source is mobile ad networks and exchange data. A mobile device observation with a location (latitude/longitude) date, and timestamp requires a user to actively be using an application on their mobile device or browsing the web on a website that delivers advertising with location services enabled.

OnSpot continually monitors the quality and quantity of data provided by our sources and performs rigorous data cleansing to ensure that we offer access to the breadth and depth of location data required to deliver meaningful results from our platform.