Abstract:
Multi-computing device network based cross-device conversion determination is described. A content selection computer server can identify cross-device conversions. A first computing device accesses third-party content via a first computer network connection. A second computing device accesses a webpage of the third-party content provider via a second computer network connection. The first and devices can be logged into a same online account. The content selection computer server can obtain, via a content tag that includes a script that executes on a webpage that includes the third-party content, data indicating that the first computing device accessed the third-party content. The selection computer server determines the conversion from the content tag and the second computing device having accessed the webpage. Based on a percentage of first and second sets of computing devices that have logged into common respective online accounts, the content selection computer server extrapolates an estimated number of cross-device conversions.
Abstract:
Systems and methods of determining a geographic location based conversion via a computer network. A data processing system can receive, from a computing device, an indication of interest in an online content item that is associated with a commercial entity having a location. The system can also receive data points that each include time information and location information of a computing device. The system can generate a valid cluster indicating an activity at the location of the commercial entity by evaluating the time information and the location information of two or more data points with a duration threshold and a location threshold. The system can use the valid cluster to identify the indication of interest in the online content item as the location based conversion based on the activity at the location of the commercial entity.
Abstract:
Systems and methods of determining a geographic location based conversion via a computer network. A data processing system can receive, from a computing device, an indication of interest in an online content item that is associated with a commercial entity having a location. The system can also receive data points that each include time information and location information of a computing device. The system can generate a valid cluster indicating an activity at the location of the commercial entity by evaluating the time information and the location information of two or more data points with a duration threshold and a location threshold. The system can use the valid cluster to identify the indication of interest in the online content item as the location based conversion based on the activity at the location of the commercial entity.
Abstract:
Systems and methods of generating a valid cluster based on a location of a commercial entity via a computer network. A data processing system can receive the location of the commercial entity from an online content selection data structure, and can receive data points that comprise location information and time information associated with an identifier. Using the data points, the data processing system can create a location cluster having a first data point and subsequent data points that are within a threshold distance from the first data point. The data processing system can determine a cluster duration for each location and compare the cluster duration with a duration threshold to identify a set of valid location clusters. The valid location clusters can be filtered based on a proximity to the location of the commercial entity to identify a valid cluster that can be indicative of activity at the commercial entity.
Abstract:
Systems and methods of determining a geographic location based conversion via a computer network. A data processing system can receive, from a computing device, an indication of interest in an online content item that is associated with a commercial entity having a location. The system can also receive data points that each include time information and location information of a computing device. The system can generate a valid cluster indicating an activity at the location of the commercial entity by evaluating the time information and the location information of two or more data points with a duration threshold and a location threshold. The system can use the valid cluster to identify the indication of interest in the online content item as the location based conversion based on the activity at the location of the commercial entity.
Abstract:
Systems and methods for cross-device conversion estimates determine an observed number of cross-device conversions based on different sets of devices being logged into the same online accounts. The observed cross-device conversions are extrapolated out based on a percentage of one set of devices having logged into the same accounts as the second set of devices.