Tokenizing User Data for Targeted Advertising Control
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Solution Overview
Problem
Current advertising methods rely heavily on blind or semi-blind targeting, resulting in irrelevant advertisements for users, with users lacking control and monetization opportunities for their data assets, leading to inefficient ad delivery and missed monetization opportunities.
Innovation Solution
A system and method for tokenizing user data and assets, allowing users to create, manage, and monetize their data through blockchain-based tokens, enabling targeted advertising based on user profiles and preferences, and compensating users for data utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If blind or semi-blind advertising methods are used, then advertisement delivery is simple and fast, but advertisement relevance to users deteriorates
Solution Approach 1:
The system performs preliminary actions by collecting user data, preferences, and behavioral information in advance through user profiles and tracking mechanisms. This pre-processing of user information enables the system to quickly match relevant advertisements to users without performing complex analysis at the moment of ad delivery, thus maintaining fast delivery while improving relevance.
Solution Approach 2:
The system implements feedback mechanisms where user interactions with advertisements and content are tracked and fed back into the user profile. This continuous feedback loop refines the user profile over time, improving the accuracy of ad targeting while maintaining efficient delivery through the established matching system.
2Loss of information
If user data is collected for targeting, then ad relevance improves, but user privacy and control deteriorate
Solution Approach 1:
The system empowers users to self-manage their data through user-controlled profiles where they can selectively provide information, adjust privacy settings, and control what data is shared with advertisers. This self-service approach maintains ad relevance by allowing users to share necessary information while preserving their privacy and control.
Solution Approach 2:
The system acts as an intermediary between users and advertisers, processing and anonymizing user data before sharing it with advertising platforms. This intermediary role protects user privacy by preventing direct exposure of personal information while still enabling targeted advertising through aggregated and processed data insights.
3Ease of operation
If traditional advertising platforms monopolize data monetization, then platform control is maintained, but user ownership and monetization opportunities deteriorate
Solution Approach 1:
The system segments the data monetization process into separate functions: data collection and storage is separated from data analysis and advertising delivery. User profiles and data assets are segmented into user-controlled portions and platform-processed portions, allowing users to retain ownership and control while enabling platform operations. This segmentation creates multiple monetization pathways including direct user compensation and platform advertising revenue.
Data Source
AI summary
A system, method, and device for virtualizing a location. A virtual location is selected for an organization. Donations are received to support the virtual location of the organization. The virtual location is established, utilizing the donations. Interactions are performed with the users at the virtual location.