Abstract: The current document is directed to automated electronic testing, optimization, and/or analysis systems that collect sufficient data from instrumentation, maintain sufficient user status, and provide sufficient communications between instrumentation and testing, optimization, and/or analysis systems in order to follow, reconstruct, and record temporal threads of user activity that span multiple user contexts. In one implementation, JSON-encoded information is collected through instrumentation and supplemented by testing, optimization, and/or analysis systems in order to provide many different types of information about remote-information-accessing users and the device and program contexts from which they access remote information.

Abstract: A method for constructing a customized web analytics application comprises providing a base analytics code, including a base data mining code and a plurality of tokens corresponding to unincorporated code snippets, and incorporating code snippets as selected to create the application where each code snippet is configured to track a different custom web analytic. The system displays a selection of at least one web analytic to track and receives user selection of at least one displayed web analytic to track over a wide area network. Once selected, an unincorporated code snippet corresponding to each selected displayed web analytic is retrieved from a library of such code snippets. The code snippet is then substituted in place of its corresponding token within the base analytics code to create a customized analytics code. The customized code is finalized by removing the remaining tokens and the finalized code transmitted to the user for incorporation into their web pages.

Abstract: The current document is directed to automated electronic testing, optimization, and/or analysis systems that collect sufficient data from instrumentation, maintain sufficient user status, and provide sufficient communications between instrumentation and testing, optimization, and/or analysis systems in order to follow, reconstruct, and record temporal threads of user activity that span multiple user contexts. In one implementation, JSON-encoded information is collected through instrumentation and supplemented by testing, optimization, and/or analysis systems in order to provide many different types of information about remote-information-accessing users and the device and program contexts from which they access remote information.

Abstract: A method for constructing a customized web analytics application comprises providing a base analytics code, including a base data mining code and a plurality of tokens corresponding to unincorporated code snippets, and incorporating code snippets as selected to create the application where each code snippet is configured to track a different custom web analytic. The system displays a selection of at least one web analytic to track and receives user selection of at least one displayed web analytic to track over a wide area network. Once selected, an unincorporated code snippet corresponding to each selected displayed web analytic is retrieved from a library of such code snippets. The code snippet is then substituted in place of its corresponding token within the base analytics code to create a customized analytics code. The customized code is finalized by removing the remaining tokens and the finalized code transmitted to the user for incorporation into their web pages.

Abstract: A method for constructing a customized web analytics application comprises providing a base analytics code, including a base data mining code and a plurality of tokens corresponding to unincorporated code snippets, and incorporating code snippets as selected to create the application where each code snippet is configured to track a different custom web analytic. The system displays a selection of at least one web analytic to track and receives user selection of at least one displayed web analytic to track over a wide area network. Once selected, an unincorporated code snippet corresponding to each selected displayed web analytic is retrieved from a library of such code snippets. The code snippet is then substituted in place of its corresponding token within the base analytics code to create a customized analytics code. The customized code is finalized by removing the remaining tokens and the finalized code transmitted to the user for incorporation into their web pages.