Permissioned Data Platform for Transparent Digital Advertising
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current digital advertising technologies lack transparency and efficiency, leading to ineffective ad targeting, consumer dissatisfaction, and revenue losses due to the misuse of personal data, with existing methods being prone to errors and exploitation, and failing to verify human ad views amidst GDPR compliance challenges.
Innovation Solution
A blockchain-based digital advertising platform that allows users to control and permission data sharing, enabling targeted advertisements based on consented attributes, ensuring transparency and effective ad targeting while adhering to GDPR regulations by using a system where users share specific data attributes anonymously and receive rewards for doing so.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional data mining and tracking methods are used for digital advertising, then advertisers can access user data for targeting, but transparency is lost and consumer trust decreases
Solution Approach 1:
The patent introduces a blockchain-based intermediary platform that acts as a trusted mediator between users and advertisers. This platform enables transparent data sharing by recording all data access and usage events on an immutable ledger, allowing users to verify exactly how their data is used while advertisers gain access to permissioned data for targeted advertising.
2Productivity
If inferred targeting methods are used to identify user interests, then advertisers can reach potential customers, but accuracy decreases and irrelevant ads increase
Solution Approach 1:
The patent extracts and utilizes explicitly stated user interests and preferences that users directly provide through the platform's profile system, rather than relying on inference algorithms. Users can specify their interests, demographics, and preferences directly, which are then used for precise ad matching, eliminating the need for error-prone inference methods.
3Adaptability or versatility
If extensive data collection is performed to improve ad targeting, then more targeting options become available, but user privacy and control are compromised
Solution Approach 1:
The patent implements dynamic user control over data sharing through the blockchain platform. Users can dynamically grant, revoke, or modify permissions for different advertisers and data types in real-time. The system adapts to user preferences by allowing flexible configuration of what data is shared, with whom, and under what conditions, all recorded transparently on the blockchain.
4Quantity of substance
If bot services are used to simulate human traffic, then advertisers can inflate engagement metrics, but genuine ad viewing verification becomes impossible
Solution Approach 1:
The patent implements a feedback mechanism where the blockchain platform records and verifies actual user interactions with advertisements. The system provides feedback to advertisers about genuine human engagement by tracking verified user actions (views, clicks, conversions) through their authenticated profiles, enabling advertisers to distinguish real engagement from bot activity through transparent, verifiable data on the blockchain.
Data Source
AI summary
A system and method for utilizing permissioned data is disclosed. A user may grant permission to share certain data over a platform. A third party may seek targeted attributes and match the targeted attributes with the shared attributes of a user. A user may agree to accept communications directly from the third party.