Abstract: A system and methods for dynamically controlling sample rates and data flow in a distributed networked environment by dynamic determination of statistical significance or characteristics for an unlimited number of data collection scripts concurrently executed on concurrently rendering web pages operating an unlimited number of advertisements. Consumer and media behaviors are sampled on all the different components of the distributed environment to gather information, which is transmitted to a downstream statistical analytics system. The system and methods are configured to balance the communication data flow and load among servers and browsers in this distributed networked environment that are engaged in viewing of online content including online content with one or more advertisements.

Abstract: A system that is an independent measurement system to gauge video consumption or viewing is disclosed. Methods for formulating a universal set of measurements or metrics that is operable across all video players, video-content types, ad (advertisement) networks, display devices, and browsers is also disclosed. This set of measurement or metrics advantageously is configured to operate consistently and equally well regardless of the particular video player, video-content type, network, display devices, and browsers that are used.

Abstract: A system for analyzing user consumption of content on web pages or determining user engagement with content comprising a data collection script and an content-engagement-inference engine. The data collection script determines one or more content elements to be measured from a web page and collects description data associated with the one or more content elements. The description data describes information about the one or more content elements. The content-engagement-inference engine creates an inference or analytics result based on the description data. The inference or analytics result describes how the one or more content elements have been consumed by users and then provides the inference or analytics result for users to designated entities.

Abstract: A system and methods for dynamically controlling sample rates and data flow in a distributed networked environment by dynamic determination of statistical significance or characteristics for an unlimited number of data collection scripts concurrently executed on concurrently rendering web pages operating an unlimited number of advertisements. Consumer and media behaviors are sampled on all the different components of the distributed environment to gather information, which is transmitted to a downstream statistical analytics system. The system and methods are configured to balance the communication data flow and load among servers and browsers in this distributed networked environment that are engaged in viewing of online content including online content with one or more advertisements.

Abstract: A system and methods for dynamically controlling sample rates and data flow in a distributed networked environment by dynamic determination of statistical significance or characteristics for an unlimited number of data collection scripts concurrently executed on concurrently rendering web pages operating an unlimited number of advertisements. Consumer and media behaviors are sampled on all the different components of the distributed environment to gather information, which is transmitted to a downstream statistical analytics system. The system and methods are configured to balance the communication data flow and load among servers and browsers in this distributed networked environment that are engaged in viewing of online content including online content with one or more advertisements.

Abstract: A system and methods for dynamically controlling sample rates and data flow in a distributed networked environment by dynamic determination of statistical significance or characteristics for an unlimited number of data collection scripts concurrently executed on concurrently rendering web pages operating an unlimited number of advertisements. Consumer and media behaviors are sampled on all the different components of the distributed environment to gather information, which is transmitted to a downstream statistical analytics system. The system and methods are configured to balance the communication data flow and load among servers and browsers in this distributed networked environment that are engaged in viewing of online content including online content with one or more advertisements.

Abstract: A system and methods configured for intelligent export and integration of analytics system data, by which user input either drives or controls a control mechanism (e.g., instruction set or a programming language), which allows or executes export of data into downstream databases and programs in a way that allows direct use of the data by those systems without use of manual or a case-by-case reformatting or importation processes. The control mechanism serves as a powerful tool for users to use for exporting data directly from a database into templates or downstream data bases.

Abstract: A system for analyzing user consumption of content on web pages or determining user engagement with content comprising a data collection script and an content-engagement-inference engine. The data collection script determines one or more content elements to be measured from a web page and collects description data associated with the one or more content elements. The description data describes information about the one or more content elements. The content-engagement-inference engine creates an inference or analytics result based on the description data. The inference or analytics result describes how the one or more content elements have been consumed by users and then provides the inference or analytics result for users to designated entities.

Abstract: A system that is an independent measurement system to gauge video consumption or viewing is disclosed. Methods for formulating a universal set of measurements or metrics that is operable across all video players, video-content types, ad (advertisement) networks, display devices, and browsers is also disclosed. This set of measurement or metrics advantageously is configured to operate consistently and equally well regardless of the particular video player, video-content type, network, display devices, and browsers that are used.

Abstract: A system and methods for dynamically controlling sample rates and data flow in a distributed networked environment by dynamic determination of statistical significance or characteristics for an unlimited number of data collection scripts concurrently executed on concurrently rendering web pages operating an unlimited number of advertisements. Consumer and media behaviors are sampled on all the different components of the distributed environment to gather information, which is transmitted to a downstream statistical analytics system. The system and methods are configured to balance the communication data flow and load among servers and browsers in this distributed networked environment that are engaged in viewing of online content including online content with one or more advertisements.

Abstract: A system and methods for dynamically controlling sample rates and data flow in a distributed networked environment by dynamic determination of statistical significance or characteristics for an unlimited number of data collection scripts concurrently executed on concurrently rendering web pages operating an unlimited number of advertisements. Consumer and media behaviors are sampled on all the different components of the distributed environment to gather information, which is transmitted to a downstream statistical analytics system. The system and methods are configured to balance the communication data flow and load among servers and browsers in this distributed networked environment that are engaged in viewing of online content including online content with one or more advertisements.