Abstract: A computer system for identifying execution paths of analytic elements comprises computer-executable instructions that configure the computer system to identify an orphan analytic element and a second analytic element associated with a network-connected software application. The system can also be configured to identify, with a computer processor, one or more common attributes associated with the orphan analytic element and the second analytic element. Based upon the one or more common attributes, the computer system can identify an execution path for the orphan analytic element. Additionally, the system can be configured to execute, at the one or more computer processors, the network-connected software application, capture network communications generated by the network-connected software application, and generate observed execution paths based on the captured network communications.

Abstract: A computer system for managing a configuration of network-based analytic elements accesses one or more webpages. Each of the webpages is represented at least in part by webpage source code. The computer parses the webpage source code associated with the webpages. The computer system identifies within the webpage source code a plurality of network-based analytic elements executable within a network-connected software application, and one or more webpage source code attributes that comprise information relating to the rendering of the webpage source code. Based on the dataset of information, the computer system defines a first rule configured to associate at least one network-based analytic element with a webpage source code attribute. Additionally, the computer system stores the first rule within a digital database, the digital database comprising a set of rules configured to describe attributes of the plurality of network-based analytic elements.

Abstract: A computer system for managing network communication protocols comprises computer-executable instructions that configure the computer system to receive a dataset of information for network-based analytic elements. The dataset can comprise information received by a network-based destination of the analytic elements. The analytic elements may have been executed within a network-connected software application. The system can also be configured to identify a pattern within the dataset of information. Based upon the identified pattern, the system can create an analytic element rule that is configured to describe the identified pattern on at least a subset of network-based analytic elements that are executable within the network-connected software application. Additionally, the system can be configured to store, within a digital database, the analytic element rule, wherein the digital database comprises a set of analytic element rules for managing analytic elements within the network-connected software application.

Abstract: A computer system for managing a configuration of analytic elements comprises computer-executable instructions that configure the computer system to receive, at the computer system, a dataset of information, which can include analytic elements executable within a network-connected software application and attributes associated with the analytic elements. Based on the dataset of information, the system can define rules configured to describe attributes of analytic elements. Additionally, the system can be configured to store the rules within a digital database that includes a set of rules configured to describe attributes of analytic elements.

Abstract: Embodiments are directed to methods and systems for deriving automation instructions. In one scenario, a computer system derives automation instructions by performing the following: rendering a user interface (UI) based on information from an information source and receiving natural language inputs from a user, where the natural language inputs specify an element description and an action type for UI elements rendered in the UI. The method also includes identifying UI elements in the UI that match the element descriptions in the natural language input and whose actions are performable according to their specified action type, and mapping the natural language inputs into executable code using information that corresponds to the identified UI elements.

Abstract: Methods and system allow for creating rules for a tag management system. One or more implementations create rules for a tag management system can include crawling a page of a website. Additionally, one or more implementations identify the configuration of each of the tags implemented within the page. Further, one or implementations generate one or more rules that enable a tag management system to recreate the configuration of one or more tags implemented within the page. Further still, one or more implementations export the generated one or more rules to a tag management system.

Abstract: Disclosed embodiments include a computer system for verifying proper configuration of analytic elements. The computer system identifies an analytic element associated with a network-connected software application. The computer system also executes the analytic element such that the analytic element initiates a network communication with a remote server. The computer system then searches a dataset for information relating to the network communication from the analytic element. The dataset comprises network communications received by a remote server. When the network communication generated by the analytic element is not found within the dataset, the computer system generates a report that the analytic element is not functioning properly.

Abstract: Embodiments are directed to traversing and mapping a user interface. In one scenario, a computer system performs a method for traversing and mapping a user interface that includes the following: rendering a user interface (UI) based on data received from an information source, constructing an element collection with UI elements, the element collection describing relationships that exist between the UI elements, traversing the element collection to identify various node element types, identifying, within a pre-defined action set, an action associated with at least one of the identified node element types, executing the identified action against the identified node element types, and logging at least one network request resulting from the executed action.

Abstract: A method for auditing a web-based video can comprise receiving validation information associated with one or more video files that are accessible on a webpage. The validation information can comprise one or more time intervals associated with at least one video file. Additionally, the validation information can comprise tag data relating a tag that are associated with the at least one video files. The method can also request through a network connection the at least one video files. The method can then execute the at least one video files. Executing the at least one video file can cause a tag to fire. Additionally, the method can validate the tag by determining whether the tag conforms to the received tag data.

Abstract: An automated website analysis system includes mechanisms for automatically auditing a website to validate that the scanned web page information conforms to validation rules. In one implementation, an auditing system requests web pages of an identified website pursuant to validating at least a portion of each requested web page. Embodiments include scanning page code of at least one of the web pages to identify scanned web page information, including a page tag. The scanned web page information is validated to determine whether is conforms to at least one validation rule by validating variables of the page tag against validation rules, including a vendor validation rule. Results of the validation are reported.

Abstract: Methods and system allow for creating rules for a tag management system. One or more implementations create rules for a tag management system can include crawling a page of a website. Additionally, one or more implementations identify the configuration of each of the tags implemented within the page. Further, one or implementations generate one or more rules that enable a tag management system to recreate the configuration of one or more tags implemented within the page. Further still, one or more implementations export the generated one or more rules to a tag management system.

Abstract: Methods and systems allow for using a master tag to monitor and control other tags on a webpage can include identifying a webpage. The method can also include identifying, with a master tag embedded in the webpage, one or more characteristics of at least one other tag embedded within the webpage. Further, the method can include sending a report to a data store that identifies the one or more characteristics of the at least one other tag.

Abstract: A method for auditing tags launched within a target mobile application comprises analyzing a network communication generated by a target mobile application to determine if an identifiable tag signature is present within the network communication. An identifiable tag signature can comprise one or more attributes that are associated with the firing of a tag. Based upon a detected tag signature, the method can further comprise determining that a particular tag fired. Further the method can comprise recording information associated with the particular tag.

Abstract: A system for monitoring the “analytics health” or “tracking health” of a web page can include one or more modules that render analytics code on the web page. In one implementation, a monitoring service downloads one or more web pages from a web server. The monitoring service can attempt to render any analytics code on the web pages to see if the analytics code renders or executes as expected. The monitoring service can also perform basic text searches to identify analytics code, even if it cannot be rendered, and to determine if such code is present and correctly written in the web page. For web pages that require form input, the monitoring service can prompt the user for corresponding input, or retrieve pre-recorded user input from a store. The monitoring service can determine analytics health for web pages of interest in real-time.

Abstract: An automated website analysis system includes mechanisms for automatically reviewing a website and identifying various features of the website. In one implementation, the analysis system can rely at least in part on the actual downloading and rendering of each page in the website to determine not only aspects of website content and layout, but also whether various content, such as third party objects or source code, execute as intended. Additional features include recording user input that may be required to progress past web pages where automated site mapping would ordinarily stall. The analysis system can identify various items of interest about each web page to the website owner, including web page parent/child relationships, as well as the extent to which the given page content is consistent with its metadata descriptions.

Abstract: An automated website analysis system includes mechanisms for automatically reviewing a website and identifying various features of the website. In one implementation, the analysis system can rely at least in part on the actual downloading and rendering of each page in the website to determine not only aspects of website content and layout, but also whether various content, such as third party objects or source code, execute as intended. Additional features include recording user input that may be required to progress past web pages where automated site mapping would ordinarily stall. The analysis system can identify various items of interest about each web page to the website owner, including web page parent/child relationships, as well as the extent to which the given page content is consistent with its metadata descriptions.

Abstract: A system for monitoring the “analytics health” or “tracking health” of a web page can include one or more modules that render analytics code on the web page. In one implementation, a monitoring service downloads one or more web pages from a web server. The monitoring service can attempt to render any analytics code on the web pages to see if the analytics code renders or executes as expected. The monitoring service can also perform basic text searches to identify analytics code, even if it cannot be rendered, and to determine if such code is present and correctly written in the web page. For web pages that require form input, the monitoring service can prompt the user for corresponding input, or retrieve pre-recorded user input from a store. The monitoring service can determine analytics health for web pages of interest in real-time.