Targeted Ad Delivery via Broadcast Content Analytics
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Solution Overview
Problem
Content providers face challenges in delivering targeted advertisements to users accessing broadcasted content, as existing systems lack real-time user identification and the ability to provide different advertisements to multiple user devices receiving the same content.
Innovation Solution
A system that includes a content analytics server and an ad server, which collect user device information and demographics, allowing for the generation and delivery of targeted advertisements in real-time, tailored to individual user devices accessing broadcasted content, such as through MBMS or eMBMS techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If broadcasted content is delivered to multiple users, then content distribution efficiency is improved, but user identification capability deteriorates
Solution Approach 1:
The system segments the broadcast audience into different user groups based on device characteristics, location, and content preferences. Each segment receives customized advertisements while sharing the same broadcasted content, resolving the contradiction by maintaining efficient broadcast distribution while enabling targeted user identification through segmentation.
Solution Approach 2:
The system applies local quality by delivering different advertisement content to different user devices receiving the same broadcasted content. Each user receives advertisements tailored to their specific characteristics (location, device type, viewing history) while the main content remains identical, thus maintaining broadcast efficiency while achieving user-specific targeting.
2Reliability
If targeted advertisements are delivered to individual users, then advertising effectiveness is improved, but system complexity deteriorates
Solution Approach 1:
The system introduces an intermediary component that acts as a bridge between the broadcast content delivery system and the advertisement targeting system. This intermediary collects user device information, determines user characteristics, and selects appropriate advertisements, thereby achieving targeted advertising without significantly complicating the core broadcast delivery infrastructure.
Solution Approach 2:
The system performs preliminary actions by pre-collecting user device information and characteristics before advertisement delivery. User profiles, device capabilities, and location data are gathered in advance, enabling rapid advertisement selection and delivery without real-time complex processing, thus maintaining advertising effectiveness while controlling system complexity.
3Reliability
If user information is collected for targeting, then advertising relevance is improved, but user privacy protection deteriorates
Solution Approach 1:
The system changes parameters by collecting only essential anonymized device information rather than detailed personal data. Instead of gathering sensitive user information, the system uses device type, location area, and content interaction patterns as parameters for targeting, thereby maintaining advertising relevance while minimizing privacy intrusion through parameter selection that balances effectiveness and protection.
Data Source
AI summary
A device may broadcast content (e.g., using Multimedia Broadcast Multicast Service (MBMS), evolved MBMS (eMBMS), or Cell Broadcast Service (CBS)); determine that a user device has received the content; determine analytics information regarding the user device; identify, based on the analytics information, personalized content for the user device; and output, to the user device, the personalized content. The user device may receive the broadcasted content; present the broadcasted content; output an indication that the broadcasted content is being presented; receive the personalized content that was generated based on the outputted indication; and present the personalized content in conjunction with the broadcasted content. The user device may further receive content that has been personalized for other user devices, and a network layer of the user device may discard the content personalized for other user devices before an application layer of the user device receives the content personalized for the user device.