Monetization Platform for Targeted Mobile Advertising
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Solution Overview
Problem
Current Internet-based advertising techniques fail to optimally target and deliver content to mobile communication facilities due to their design for web-based search engines, neglecting unique data assets from telecommunications and fixed mobile convergence networks.
Innovation Solution
A monetization platform that receives, analyzes, and delivers behavioral and other data to publishers and ad networks, with availability conditions governing data usage rights, enabling targeted advertising across multiple advertising inventories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If Internet-based advertising techniques are used for mobile communication facilities, then advertising delivery is possible, but targeting precision and advertising relevance deteriorate
Solution Approach 1:
The patent segments advertising inventories into multiple distinct inventories (e.g., first advertising inventory, second advertising inventory) with different characteristics and availability conditions. This allows the system to select appropriate inventories based on specific targeting requirements, thereby improving targeting precision while maintaining advertising delivery capability across mobile communication facilities.
Solution Approach 2:
The system dynamically selects and syndicates behavioral profiles based on real-time conditions, user characteristics, and availability conditions. The monetization platform adapts its data selection and advertising delivery strategy according to changing parameters, enabling precise targeting while maintaining versatility in delivery methods across different mobile devices and contexts.
2Measurement precision
If user profile data and behavioral data are collected and syndicated, then advertising relevance improves, but data privacy and security risks increase
Solution Approach 1:
The system establishes availability conditions and data usage agreements before syndicating behavioral profiles. These preliminary actions define the scope, purpose, and constraints of data usage, ensuring that user profile data is collected and utilized in a controlled manner that protects privacy while enabling relevant advertising delivery.
Solution Approach 2:
The monetization platform acts as an intermediary between data sources and advertising systems. It syndicates behavioral profiles with embedded availability conditions, acting as a trusted mediator that ensures data is used appropriately while maintaining advertising relevance. This intermediary layer protects user privacy by controlling data access and usage without preventing effective advertising targeting.
3Adaptability or versatility
If multiple advertising inventories are syndicated and managed, then advertising selection capability improves, but system complexity increases
Solution Approach 1:
The patent implements a universal monetization platform that can manage multiple advertising inventories through a single integrated system. This platform performs multiple functions including data collection, profile syndication, availability condition management, and inventory selection, thereby improving advertising selection capability without proportionally increasing system complexity through standardized multi-functional architecture.
Data Source
AI summary
The present application discloses improved capabilities for aggregating user behavioral data across multiple wireless operators and delivering content to a mobile communication facility based on that aggregation, among other factors.