Abstract:
Systems and methods of re-messaging with alternative content items based on tracking client device interactions with content items associated with the content provider are provided. The system can assign an account identifier to a first segment for a pre-conversion model, responsive to receiving a first interaction associated with a content provider from a client device. The system can assign the account identifier to a second segment for the pre-conversion model, responsive to receiving a second interaction. The system can assign the account identifier to a third segment, responsive to receiving a third interaction. The third interaction can include a conversion event. The system can generate a post-conversion model based on the third segment and the pre-conversion model. The system can determine an intent index for an alternative item based on the post-conversion model. The system can select content items associated with the alternative item for display.
Abstract:
Systems and methods of rendering webpage interaction statistics data over graphical user interfaces is provided herein. A computing device can transmit a request for an interaction statistics identifying an information resource. The computing device can receive the interaction data set for the identified information resource. The computing device can calculate a similarity measure among the client devices based on the interaction data set using a clustering algorithm. The computing device can identity a subset of client devices based on the similarity measure. The computing device can calculate the interaction sequence metrics for the client devices for each selected content element. The computing device can select the content elements based on the calculated interaction sequence metrics. The computing device can generate a graph element including nodes representing each selected content element and paths representing the interaction sequence metrics. The computing device can display the graph element.
Abstract:
Systems and methods of rendering webpage interaction statistics data over graphical user interfaces is provided herein. A computing device can transmit a request for an interaction statistics identifying an information resource. The computing device can receive the interaction data set for the identified information resource. The computing device can calculate a similarity measure among the client devices based on the interaction data set using a clustering algorithm. The computing device can identity a subset of client devices based on the similarity measure. The computing device can calculate the interaction sequence metrics for the client devices for each selected content element. The computing device can select the content elements based on the calculated interaction sequence metrics. The computing device can generate a graph element including nodes representing each selected content element and paths representing the interaction sequence metrics. The computing device can display the graph element.
Abstract:
Systems and methods of dynamically rendering webpage interaction statistics data are described herein. A computing device can receive, at a first time, the information resource. The information resource can include a content element, a first interaction metric for the content element, and a style specifier. The style specifier can a first and second visual style corresponding to a first and second range of interaction metrics respectively. The computing device can determine that the first interaction metric is within the first range and set the content element to the first style based on the determination. The computing device can receive, at a second time, a second interaction metric for the content element. The computing device can determine that the second interaction metric is within the second range and set the content element to the second style based on the determination.
Abstract:
Systems and methods of rendering webpage interaction statistics data over graphical user interfaces is provided herein. A computing device can transmit a request for an interaction statistics identifying an information resource. The computing device can receive the information resource including content element and numbers and time durations of interactions for each content element. The computing device can calculate interaction statistics for interacting with one content element prior to interacting with another content element based on the numbers and the time durations of interactions. The computing device can select content elements based on the calculated interaction statistics. The computing device can generate a graph element including nodes for each content element and directed paths among the nodes indicating the interaction statistics. The computing device can insert the graph element into the information resource. The computing device can display the graph element with the information resource.
Abstract:
Systems and methods of rendering webpage interaction statistics data over graphical user interfaces is provided herein. A computing device can transmit a request for an interaction statistics identifying an information resource. The computing device can receive the interaction dataset for the identified information resource. The computing device can calculate a similarity measure among the client devices based on the interaction dataset using a clustering algorithm. The computing device can identify a subset of client devices based on the similarity measure. The computing device can calculate the interaction sequence metrics for the client devices for each selected content element. The computing device can select the content elements based on the calculated interaction sequence metrics. The computing device can generate a graph element including nodes representing each selected content element and paths representing the interaction sequence metrics. The computing device can display the graph element.
Abstract:
Systems and methods of dynamically rendering webpage interaction statistics data are described herein. A computing device can receive, at a first time, the information resource. The information resource can include a content element, a first interaction metric for the content element, and a style specifier. The style specifier can a first and second visual style corresponding to a first and second range of interaction metrics respectively. The computing device can determine that the first interaction metric is within the first range and set the content element to the first style based on the determination. The computing device can receive, at a second time, a second interaction metric for the content element. The computing device can determine that the second interaction metric is within the second range and set the content element to the second style based on the determination.
Abstract:
Systems and methods of rendering webpage interaction statistics data over graphical user interfaces is provided herein. A computing device can transmit a request for an interaction statistics identifying an information resource. The computing device can receive the interaction dataset for the identified information resource. The computing device can calculate a similarity measure among the client devices based on the interaction dataset using a clustering algorithm. The computing device can identify a subset of client devices based on the similarity measure. The computing device can calculate the interaction sequence metrics for the client devices for each selected content element. The computing device can select the content elements based on the calculated interaction sequence metrics. The computing device can generate a graph element including nodes representing each selected content element and paths representing the interaction sequence metrics. The computing device can display the graph element.
Abstract:
Systems and methods of dynamically varying the intensity of providing content items in a remarketing campaign based on tracking client device interactions are provided. The system can assign an account identifier to a first segment for a pre-conversion model, responsive to receiving a first interaction associated with a content provider from a client device. The system can assign the account identifier to a second segment for the pre-conversion model, responsive to receiving a second interaction. The system can assign the account identifier to a third segment, responsive to receiving a third interaction. The third interaction can include a conversion event. The system can generate a post-conversion model based on the third segment and the pre-conversion model. The system can determine an intent index for the account identifier based on the post-conversion model. The system can store the account identifier into an interest cluster based on the intent index.