Behavioral Profile Syndication for Mobile Ad Targeting
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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 and lack of utilization of unique data assets from telecommunications and fixed mobile convergence networks.
Innovation Solution
A monetization platform that receives, analyzes, and delivers behavioral and demographic data from mobile communication facilities to ad servers and publishers, enabling targeted advertising through a bidding platform that accommodates bids from various entities for user data and user profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Internet-based advertising techniques are used for mobile communication facilities, then advertising delivery is possible, but targeting effectiveness deteriorates
Solution Approach 1:
The patent transforms behavioral data into standardized behavioral profiles with specific parameters (interests, activities, demographics) that can be systematically matched against advertising criteria. This parameterization enables precise targeting by changing the data structure from raw behavioral logs to structured profile attributes that can be queried and filtered effectively.
Solution Approach 2:
The patent introduces a behavioral profile syndication system as an intermediary layer between mobile network operators and advertisers. This intermediary aggregates, standardizes, and distributes behavioral profiles to multiple ad servers, enabling precise targeting without requiring each advertiser to directly access raw mobile network data, thus solving the adaptability problem.
2Measurement precision
If behavioral data is collected and analyzed, then advertising targeting improves, but system complexity increases
Solution Approach 1:
The patent performs preliminary analysis and aggregation of behavioral data into standardized profiles before distribution to advertisers. By pre-processing the data into ready-to-use behavioral profiles with defined categories and attributes, the system reduces the complexity of real-time advertising decisions, as advertisers receive pre-analyzed data rather than raw behavioral streams requiring complex processing.
Solution Approach 2:
The patent segments behavioral data into distinct profile categories (demographics, interests, activities, device characteristics) that can be independently analyzed and matched against advertising criteria. This segmentation reduces system complexity by breaking down the complex task of behavioral analysis into manageable, modular components that can be processed and distributed separately.
3Productivity
If multiple ad networks and publishers access behavioral data, then advertising reach improves, but data management complexity increases
Solution Approach 1:
The patent creates a universal behavioral profile format that serves multiple ad networks and publishers simultaneously. The standardized profile structure with consistent parameters and categories enables a single data management system to serve multiple clients with different advertising needs, achieving multi-functionality without proportionally increasing data management complexity.
Solution Approach 2:
The behavioral profile syndication system acts as an intermediary that manages data distribution to multiple ad networks and publishers. This single intermediary point handles all data access requests, standardizes the interface for multiple clients, and manages the complexity of serving diverse advertising demands, thereby enabling broad advertising reach while centralizing data management complexity in one controllable location.
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.