Scene-Relevant Code Delivery for Privacy-Preserving Loyalty App Targeting
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Solution Overview
Problem
Existing methods for delivering targeted marketing content are inefficient, as they often rely on demographic data, lack viewer specificity, are not scene-relevant, and face challenges with privacy concerns, storage costs, and the inability to effectively reach desired audiences in a timely and relevant manner.
Innovation Solution
A method for delivering targeted marketing content to smart device users through loyalty apps, where unique scene-relevant codes are permanently embedded within the content. These codes are detected by upgraded loyalty apps, which then review user history and preferences to offer personalized content, offers, or rewards while maintaining user privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If demographic data is used for targeted advertising, then advertising reach is improved, but viewer specificity deteriorates
Solution Approach 1:
The system transitions from using demographic parameters (age, gender, location) to using real-time contextual parameters (currently viewed content, scene relevance, user behavior patterns) to identify and deliver ads to specific viewers, thereby improving both reach and specificity simultaneously
2Measurement precision
If stored commercials are used for targeted advertising, then advertising targeting is improved, but storage costs increase
Solution Approach 1:
The system extracts only the essential identifying features and scene-relevant codes from commercial content, storing these compact representations rather than complete video files. This allows targeted advertising delivery while minimizing storage requirements
Solution Approach 2:
Instead of storing multiple versions of commercials for different targets, the system creates lightweight digital copies or representations (scene codes, metadata) that can be rapidly matched and delivered, reducing storage needs while maintaining targeting capability
3Ease of operation
If household viewing data is used for targeted ads, then advertising delivery is simplified, but viewer-specific targeting deteriorates
Solution Approach 1:
The system segments household viewing data into individual viewer profiles by tracking device usage patterns, user interactions, and content preferences within the household, enabling viewer-specific targeting while maintaining operational simplicity through automated segmentation
4Measurement precision
If multiple apps are installed for targeted advertising, then advertising relevance is improved, but device complexity increases
Solution Approach 1:
The system implements a universal code-detecting platform that performs multiple functions: detecting scene-relevant codes, identifying user preferences, selecting appropriate ads, and delivering targeted content through a single integrated application, eliminating the need for multiple specialized apps
Data Source
AI summary
A method for delivering targeted marketing content to loyalty app users wherein unique scene-relevant codes reflecting the nature of the marketing content at that moment in time, are permanently embedded within the marketing content. The loyalty apps are automatically upgraded to receive codes, enabling the scene-relevant codes to be received by the loyalty app user's smartphone which then activates the matching loyalty apps. The selected apps then review the app user's history and preferences and decide if an offer, content, or reward should be made by notification to the app user while not revealing the identity of the app user.