Targeted Advertising via Media Device Product Data
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Solution Overview
Problem
Traditional advertising methods, such as broadcast television and radio, offer limited control over target audiences, resulting in a low return on investment for advertisers, especially for products marketed to specific groups, whereas internet-based advertising can be more targeted but lacks precision in reaching users with relevant products or services based on their device and media content ownership.
Innovation Solution
A communication system that utilizes media content devices and servers to gather user product information from networked devices and media content, allowing for the selection and scheduling of targeted advertisements based on user product information, additional user data, and media content ownership, using modules like user product information access, advertisement selection, content scheduling, and content forwarding to present relevant ads within media content streams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If broadcast advertising is used, then wide audience reach is achieved, but advertising precision and return on investment deteriorate
Solution Approach 1:
The patent segments the broadcast audience into specific user groups based on device ownership and media content information. By dividing the general audience into targeted segments with shared characteristics, the system maintains wide reach while improving precision for relevant advertisements.
Solution Approach 2:
The patent applies local quality by tailoring advertisement content to specific user groups based on their device and content characteristics. Different regions of the broadcast stream receive different advertisements optimized for local user profiles, enhancing relevance without sacrificing overall reach.
2Measurement precision
If internet-based advertising is used, then advertising precision is improved, but ability to reach users with relevant products based on device ownership deteriorates
Solution Approach 1:
The patent employs multiple information sources including device ownership data, media content information, and user profile data to create a universal targeting framework. This multi-functional approach allows the system to adapt to various user characteristics and deliver relevant advertisements across different contexts and platforms.
Solution Approach 2:
The patent utilizes feedback loops where user interactions with advertisements and media consumption patterns are continuously monitored. This feedback refines the targeting algorithms, improving both precision and relevance to device ownership over time through iterative optimization.
3Productivity
If user information is collected for targeting, then advertising effectiveness is improved, but user privacy concerns increase
Solution Approach 1:
The patent introduces an intermediary layer that processes user information without exposing raw personal data. The system uses aggregated and anonymized device ownership and media content information as intermediaries to enable targeted advertising while maintaining user privacy through controlled data access and processing.
Data Source
AI summary
Methods and systems of targeting advertising are presented. In an example method, a media content device of a user accesses user product information originating from a user product and describing at least one characteristic of the user product. At least one advertisement is selected from a plurality of available advertisements based on the user product information. The selected advertisement is forwarded from the media content device for presentation to the user.