Abstract: The present disclosure is directed towards benchmarking online activity via encoded links generated by an online activity benchmarking system. The method may include identifying by a server of an online activity benchmarking system, for an information resource, a plurality of encoded links encoded by the server of the online activity benchmarking system and linked to the information resource, receiving by the server, via the identified plurality of encoded links, a plurality of requests to access the information resource, identifying by the server, for each request of the plurality of requests to access the information resource, one or more attributes corresponding to the request, categorizing by the server, the plurality of requests to access the information resource based on the one or more identified attributes, and providing by the server, for presentation, an output indicating statistics corresponding to the categorized plurality of requests based on the one or more identified attributes.

Abstract: The present disclosure is directed to systems and methods for analyzing content audience by generating respective encoded links for content publishers, determining, for each content publisher, statistics related to user interactions with encoded links, and providing user-specific or aggregate information based on the statistics. The server of a content audience analysis system receives multiple interactions with encoded links generated by the content audience analysis system and linked to resources of a first content publisher. The server may identify from the multiple interactions, multiple cookies assigned to unique client devices. The server may identify second content publishers having resources that were accessed by the client devices corresponding to the multiple cookies via encoded links generated by the server.

Abstract: The present disclosure is directed to a method for tracking influence of a user on content shared via encoded uniform resource locator (URL) links. Measuring influence of a user may identify what level of engagement the user drives to content when the user shares content with other users, such as via encoded links. A high influencer may be a user who drives a high level of engagement with content when the user shares content. A low influencer may be a user who does not drive a high level of engagement, or otherwise drives a low level of engagement with content when the user shares content. The method may include receiving, by a server, identification of a user for each of a plurality of encoded uniform resource locator (URL) links. The server may identify a plurality of keywords from content identified by each encoded URL link. The server may determine a number of actions via a plurality of users that decoded each encoded URL link of the plurality of encoded URL links of the user.

Abstract: The present application is directed to systems and methods for associating cookies of a linking system to a device identifier of the computing device. A server of a linking system can receive, from a browser of a computing device, a first request to access content via an encoded uniform resource locator (URL) link generated by the server and linked to a web page of the linking system. The server can redirect the browser of the computing device to the web page of the linking system. The server can receive a request to associate a cookie passed to a mobile application installed on the computing device with a device identifier of the computing device. The server can then associate the cookie with the device identifier.

Abstract: The present disclosure is directed towards benchmarking online activity via encoded links generated by an online activity benchmarking system. The method may include identifying by a server of an online activity benchmarking system, for an information resource, a plurality of encoded links encoded by the server of the online activity benchmarking system and linked to the information resource, receiving by the server, via the identified plurality of encoded links, a plurality of requests to access the information resource, identifying by the server, for each request of the plurality of requests to access the information resource, one or more attributes corresponding to the request, categorizing by the server, the plurality of requests to access the information resource based on the one or more identified attributes, and providing by the server, for presentation, an output indicating statistics corresponding to the categorized plurality of requests based on the one or more identified attributes.

Abstract: The present disclosure is directed towards analyzing traffic across multiple media channels via encoded links. The method may include receiving, by a server of a media channel analysis system, identification of a plurality of media channels for which to generate encoded links to a resource, generating, by the server, different links encoded by the server and linked to the resource, assigning, by the server, a respective encoded link of the generated encoded links to each of the identified media channels, determining, by the server, for each of the identified media channels, statistics related to traffic corresponding to the respective encoded link and providing, by the server, an output comprising at least a portion of the statistics.

Abstract: The present disclosure is directed to systems and methods for analyzing content audience by generating respective encoded links for content publishers, determining, for each content publisher, statistics related to user interactions with encoded links, and providing user-specific or aggregate information based on the statistics. The server of a content audience analysis system receives multiple interactions with encoded links generated by the content audience analysis system and linked to resources of a first content publisher. The server may identify from the multiple interactions, multiple cookies assigned to unique client devices. The server may identify second content publishers having resources that were accessed by the client devices corresponding to the multiple cookies via encoded links generated by the server.

Abstract: The present application is directed to systems and methods for associating cookies of a linking system to a device identifier of the computing device. A server of a linking system can receive, from a browser of a computing device, a first request to access content via an encoded uniform resource locator (URL) link generated by the server and linked to a web page of the linking system. The server can redirect the browser of the computing device to the web page of the linking system. The server can receive a request to associate a cookie passed to a mobile application installed on the computing device with a device identifier of the computing device. The server can then associate the cookie with the device identifier.

Abstract: Systems and methods of monitoring online activity may include providing, by a server of a linking system, a cookie of the linking system to a client device responsive to receiving a first request from a first resource to access a first link encoded by the linking system and linked to a second resource. The server may identify from the first request, the cookie, the first resource and the second resource. The server may receive from the client device, a second request to access a second link that is encoded by the linking system and linked to a third resource. The server may identify from the second request, the same cookie provided to the client device and the third resource. The server may identify, via the cookie provided to the client device, that the client device has accessed the first, second and third resources.

Abstract: A system and method of analyzing traffic across multiple media channels via encoded links is disclosed herein. The method may include receiving, by a server of a media channel analysis system, identification of a plurality of media channels for which to generate encoded links to a resource, generating, by the server, different links encoded by the server and linked to the resource, assigning, by the server, a respective encoded link of the generated encoded links to each of the identified media channels, determining, by the server, for each of the identified media channels, statistics related to traffic corresponding to the respective encoded link and providing, by the server, an output comprising at least a portion of the statistics.

Abstract: The present disclosure is directed to a method for tracking influence of a user on content shared via encoded uniform resource locator (URL) links. Measuring influence of a user may identify what level of engagement the user drives to content when the user shares content with other users, such as via encoded links. A high influencer may be a user who drives a high level of engagement with content when the user shares content. A low influencer may be a user who does not drive a high level of engagement, or otherwise drives a low level of engagement with content when the user shares content. The method may include receiving, by a server, identification of a user for each of a plurality of encoded uniform resource locator (URL) links. The server may identify a plurality of keywords from content identified by each encoded URL link. The server may determine a number of actions via a plurality of users that decoded each encoded URL link of the plurality of encoded URL links of the user.

Abstract: The present disclosure is directed to systems and methods for analyzing content audience by generating respective encoded links for content publishers, determining, for each content publisher, statistics related to user interactions with encoded links, and providing user-specific or aggregate information based on the statistics. The server of a content audience analysis system receives multiple interactions with encoded links generated by the content audience analysis system and linked to resources of a first content publisher. The server may identify from the multiple interactions, multiple cookies assigned to unique client devices. The server may identify second content publishers having resources that were accessed by the client devices corresponding to the multiple cookies via encoded links generated by the server.

Abstract: The present disclosure is directed towards benchmarking online activity via encoded links generated by an online activity benchmarking system. The method may include identifying by a server of an online activity benchmarking system, for an information resource, a plurality of encoded links encoded by the server of the online activity benchmarking system and linked to the information resource, receiving by the server, via the identified plurality of encoded links, a plurality of requests to access the information resource, identifying by the server, for each request of the plurality of requests to access the information resource, one or more attributes corresponding to the request, categorizing by the server, the plurality of requests to access the information resource based on the one or more identified attributes, and providing by the server, for presentation, an output indicating statistics corresponding to the categorized plurality of requests based on the one or more identified attributes.

Abstract: The present application is directed to systems and methods for associating cookies of a linking system to a device identifier of the computing device. A server of a linking system can receive, from a browser of a computing device, a first request to access content via an encoded uniform resource locator (URL) link generated by the server and linked to a web page of the linking system. The server can redirect the browser of the computing device to the web page of the linking system. The server can receive a request to associate a cookie passed to a mobile application installed on the computing device with a device identifier of the computing device. The server can then associate the cookie with the device identifier.

Abstract: The present disclosure is directed to systems and methods for analyzing content audience by generating respective encoded links for content publishers, determining, for each content publisher, statistics related to user interactions with encoded links, and providing user-specific or aggregate information based on the statistics. The server of a content audience analysis system receives multiple interactions with encoded links generated by the content audience analysis system and linked to resources of a first content publisher. The server may identify from the multiple interactions, multiple cookies assigned to unique client devices. The server may identify second content publishers having resources that were accessed by the client devices corresponding to the multiple cookies via encoded links generated by the server.

Abstract: The present disclosure is directed towards benchmarking online activity via encoded links generated by an online activity benchmarking system. The method may include identifying by a server of an online activity benchmarking system, for an information resource, a plurality of encoded links encoded by the server of the online activity benchmarking system and linked to the information resource, receiving by the server, via the identified plurality of encoded links, a plurality of requests to access the information resource, identifying by the server, for each request of the plurality of requests to access the information resource, one or more attributes corresponding to the request, categorizing by the server, the plurality of requests to access the information resource based on the one or more identified attributes, and providing by the server, for presentation, an output indicating statistics corresponding to the categorized plurality of requests based on the one or more identified attributes.

Abstract: The present disclosure is directed to systems and methods for measuring influence of a user may identify what level of engagement the user drives to content when the user shares content with other users, such as via encoded links. A high influencer may be a user who drives a high level of engagement with content when the user shares content. A low influencer may be a user who does not drive a high level of engagement, or otherwise drives a low level of engagement with content when the user shares content.

Abstract: The present disclosure is directed to a method for providing a recommended list of uniform resource locators (URLs) responsive to a uniform resource locator (URL). The method may include identifying, by a server, a plurality of users that clicked on an encoded uniform resource locator (URL) link corresponding to a URL. The server may identify a plurality of encoded URL links clicked by each of the plurality of users. The server may determine a number of users who clicked on each encoded URL link of the plurality of encoded URL links and also clicked on the encoded URL link. The server may enumerate, responsive a request comprising the URL, a list of URLs and their corresponding score based on the determination, each URL of the list of URLs corresponding to one of the plurality of encoded URL links.

Abstract: The present disclosure is directed to providing search results based on user interaction with content. A server receives identification of a plurality of clicks of encoded uniform resource locator (URL) links and identifies, for each of the plurality of clicks, data about a user who clicked an encoded URL link and traffic data associated with a device from which the user clicked the encoded URL link. The server may store a record comprising data about the user and traffic data associated with each click. The server may determine, based on the records, a relevancy score for each content identified from decoding the encoded URL links. The server may communicate, responsive to receiving a request to search content based on a keyword, a set of search results based on the keyword and the relevancy score.

Abstract: The present disclosure is directed to a method for identifying which phrases are trending across an aggregate of users that are relevant to a specific user. The method may include receiving, by a server, identification of a user. The server may identify a plurality of phrases that are trending upwards based on velocity of clicks to content containing, related to or associated with the plurality of phrases. The server may identify trending or temporally popular phrases based on aggregating multiple users' interactions with an aggregate of content. The server may determine a relevance score for each phrase of the plurality of phrases that are trending upwards based on identification of the user and actions of the user on content associated with each phrase, such as user clicking on content identifying or related to each phrase. The server may identify one or more phrases of the plurality of phrases based on relevance score.