Broadcast Advertising via Closed Captioning Keyword Correlation
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Solution Overview
Problem
Current advertising strategies in broadcast media often fail to correlate commercials with the content being broadcast, leading to missed opportunities for relevant product placement and wasteful resource allocation due to outdated audience modeling and the increasing dispersion of viewers across time and geography.
Innovation Solution
A system that uses closed captioning metadata to correlate advertisements with the content being broadcast, allowing for targeted advertising by matching vendor keywords with close captioning text, and enabling viewers to purchase products directly through a linked payment system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional audience modeling and pre-broadcast advertising strategies are used, then advertising can be placed in broadcast content, but the advertisements are not correlated with the broadcast content and are pitched to inappropriate audiences
Solution Approach 1:
The system transitions from static pre-broadcast advertising placement to dynamic real-time advertising insertion based on closed captioning analysis. Advertisements are selected and inserted dynamically during broadcast based on the actual content being displayed, allowing the advertising system to adapt to changing content and audience interests in real-time
Solution Approach 2:
The system uses closed captioning metadata as feedback about the actual broadcast content being displayed. By analyzing the closed captions in real-time, the system gains feedback about what is currently being shown, enabling it to select advertisements that are actually relevant to the content and audience viewing at that moment
2Quantity of substance
If advertisements are placed without content correlation, then advertising coverage can be broad, but vendors miss opportunities to pitch appropriate products to viewers
Solution Approach 1:
The system replaces traditional mechanical audience modeling and demographic targeting with an automated computational system that analyzes closed captioning metadata. This substitution enables real-time content-based advertising selection without requiring complex manual audience research or demographic assumptions
Solution Approach 2:
The advertising system serves itself by automatically analyzing closed captioning content and selecting appropriate advertisements without human intervention. The system autonomously matches vendor keywords with broadcast content metadata to determine the most relevant advertisements to display at each moment
3Device complexity
If outdated audience modeling is used, then advertising strategies can be simplified, but the models become obsolete as audiences disperse geographically and chronologically
Solution Approach 1:
The system extracts advertising decision-making from complex audience modeling and demographic analysis. By taking out the need for sophisticated audience research and modeling, the system simplifies the advertising infrastructure while improving reliability through direct content-based matching using closed captioning metadata
Data Source
AI summary
A system and a method for using the system for targeted broadcast advertising includes a broadcasting medium are provided. The system includes a broadcaster configured to provide a multimedia stream to a viewing device through the broadcasting medium; the multimedia stream including a close captioning string; wherein: the broadcaster is further configured to provide advertisements in the multimedia stream according to a correlation between the close captioning string and a plurality of vendor keywords.