Shared Content Delivery Streams With Universal Tag Governance
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Solution Overview
Problem
Existing content delivery systems face inefficiencies due to piggyback tags, leading to increased network requests and lack of control over data usage by downstream vendors, resulting in non-transparent data sharing and reduced performance.
Innovation Solution
Implementing a universal tag and stream management system that filters and manages data streams, allowing upstream vendors to control data flow and access, reducing network requests and enhancing data governance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If piggyback tags are used to gather analytics data, then data collection capability is improved, but network request volume increases and system performance deteriorates
Solution Approach 1:
The patent combines multiple piggyback tag functions into a single universal tag that can collect and manage data for multiple downstream vendors. This consolidation reduces the number of separate network requests while maintaining comprehensive data collection capabilities across different analytics platforms.
Solution Approach 2:
The universal tag implemented in the patent performs multiple functions: it collects user interaction data, manages data streams, applies event filters, and distributes data to multiple downstream vendors. This multi-functional approach replaces numerous specialized tags, reducing network overhead while preserving data collection versatility.
2Adaptability or versatility
If multiple piggyback tags are deployed for different vendors, then data sharing coverage is improved, but data governance control deteriorates
Solution Approach 1:
The patent extracts data governance control logic from individual vendor tags and centralizes it in the universal tag. This extraction allows the universal tag to manage data streams and apply filters according to upstream vendor preferences, maintaining comprehensive data sharing while centralizing governance control.
Solution Approach 2:
The universal tag acts as an intermediary between the content management system and multiple downstream vendors. It receives data from the content management system, applies centralized filtering and management rules, then distributes processed data to vendors. This intermediary role enables broad data sharing while maintaining upstream control over governance policies.
3Adaptability or versatility
If piggyback tags transmit data to multiple downstream vendors, then analytics coverage is improved, but data transparency deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where the universal tag and content management system track and report data stream usage, filtering decisions, and vendor access patterns. This feedback loop provides transparency about how data is collected, filtered, and distributed, allowing upstream vendors to monitor analytics coverage while maintaining visibility into data flow.
Data Source
AI summary
The systems and methods described herein use a tag for collecting data associated with a content object of a content page. The tag may be a universal tag which can provide a single point of data collection and thereby reduce the number of network requests due to piggyback tags. The data collected from the content page may be communicated to a stream management system which can process the data and split the data into multiple data streams to be fed to a downstream system. The downstream system can further process the data and communicate to another downstream system. In some embodiments, the stream management system can access the repositories of its downstream system and veto the data flows created by the downstream system.