Audience Responsiveness Analytics Index for Connected TV
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Solution Overview
Problem
There is a need for continuous improvements in providing analytics data to create better advertising experiences for viewers in the connected television (CTV) advertising environment, where existing systems lack effective measurement and targeting capabilities to optimize ad delivery and responsiveness.
Innovation Solution
A demand-side platform is introduced that creates an analytics index for measuring audience responsiveness to CTV advertising by collecting data on households exposed to ads, tracking responses, and determining optimal ad frequency and formats, using distributed computing architectures and machine learning to analyze second-screen audience interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional TV advertising is used, then broad audience reach is achieved, but measurement and targeting capabilities are insufficient
Solution Approach 1:
The patent introduces an analytics index as an intermediary measurement tool that bridges traditional TV advertising and digital measurement capabilities. This index aggregates and processes viewing data to provide standardized metrics without requiring direct integration with every component of the advertising ecosystem, thus improving measurement precision while managing system complexity.
Solution Approach 2:
The patent replaces traditional mechanical TV rating systems with data-driven analytics that process digital signals and viewer interactions. By substituting manual or mechanical measurement methods with automated data processing algorithms, the system achieves more precise measurement capabilities while reducing operational complexity.
2Adaptability or versatility
If connected television advertising is implemented, then audience targeting capability is improved, but data collection and analysis complexity increases
Solution Approach 1:
The patent segments the complex data processing task into distinct components: data collection from multiple sources, data cleaning and normalization, analytics index calculation, and result application. This segmentation allows each component to be optimized independently, improving audience targeting capability while managing data processing complexity through modular architecture.
Solution Approach 2:
The analytics index serves multiple functions simultaneously: it measures audience reach, evaluates ad effectiveness, enables audience segmentation, and provides feedback for optimization. This multi-functionality reduces the need for separate systems for each task, thereby improving versatility without proportionally increasing complexity.
3Productivity
If analytics data collection is expanded, then advertising optimization capability is improved, but information processing requirements increase
Solution Approach 1:
The patent extracts only the most relevant features and metrics from the vast amount of collected data to construct the analytics index. By selecting and processing only essential information rather than all available data, the system improves optimization capability while minimizing the information processing load and preventing data overload.
4Speed
If real-time measurement is implemented, then campaign adjustment speed is improved, but computational requirements increase
Solution Approach 1:
The patent implements periodic updates of the analytics index rather than continuous real-time processing. The index is recalculated at defined intervals based on accumulated data, which provides sufficiently timely feedback for campaign adjustments while significantly reducing computational energy consumption compared to continuous processing.
Data Source
AI summary
A system and methods are disclosed for creating and using an audience-responsiveness analytics index for television advertising, in particular, advertising for connected television viewing. The audience-responsiveness analytics index may be configured to provide data obtained or acquired by measuring audience responsiveness to video advertising placed in streaming content viewed over connected televisions. The audience-responsiveness analytics index may be a graph used to optimize advertising with households assigned scores for multiple categories of advertising.