Vixel Video Analytics Embedding for Cross-Platform Tracking
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Solution Overview
Problem
Current technologies face challenges in accurately and easily integrating analytics tracking for video content and advertising on the internet, as existing methods are not compatible with various video delivery mediums and ad servers, leading to inefficiencies in data collection and measurement.
Innovation Solution
The Vixel mechanism, which involves embedding analytics code within a video file, allowing for the collection and processing of user interaction data every time the video is played, bypassing third-party platforms and ensuring consistent measurement across different video delivery platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If third-party analytics tools are used for tracking video playback, then analytics collection is possible, but compatibility and integration with various video delivery platforms become complex and unreliable
Solution Approach 1:
The patent merges the analytics tracking code directly into the video file itself, combining the video content and analytics functionality into a single integrated unit. This eliminates the need for separate third-party analytics tools and their complex integrations with various video delivery platforms, ensuring consistent tracking across all platforms where the video is hosted.
Solution Approach 2:
By embedding analytics code within the video file, the solution becomes universally compatible with any video delivery platform without requiring platform-specific integrations. The video file itself becomes multi-functional, serving both as content delivery and analytics collection mechanism across diverse platforms.
2Measurement precision
If analytics code is embedded within the video file, then measurement accuracy and cross-platform consistency improve, but the video file complexity increases
Solution Approach 1:
The analytics measurement code is merged directly into the video file structure, ensuring that measurement capabilities travel with the video content wherever it is distributed. This integration guarantees that analytics tracking occurs consistently across all platforms without requiring external dependencies, thereby improving measurement accuracy and reliability.
3Loss of information
If traditional ad server-based tracking is used, then advertising delivery is possible, but tracking accuracy and fraud detection capabilities are limited
Solution Approach 1:
The patent extracts analytics tracking functionality from the ad server infrastructure and embeds it directly within the video file. This extraction eliminates reliance on third-party ad servers for accurate tracking, enabling direct collection of playback data including fraud detection metrics without requiring complex ad server configurations or integrations.
Data Source
AI summary
Disclosed herein are methods and systems for new analytic pathways for collecting information regarding video playback by human (and automated) users. This is achieved in part by placing certain elements (Vixels) within the code of a video file prior to it being uploaded by a user who shares the video. Whenever and wherever the video is played, whether it is streamed once, downloaded and played several times thereafter, or played for a mass audience, the analytic pathway is triggered each and every time the video file is played because the elements triggering the collection of analytics exist in the video file itself. By embedding Vixels into video files at or before upload, the analytics mechanisms are triggered by the embedded Vixel regardless of how, where, when, and by whom the video is played back, forming the framework for a simpler and more accurate analytics network.