Cross-Platform Ad Targeting via Unified Subscriber Profile
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Solution Overview
Problem
Conventional methods for targeting advertisements are inefficient as they rely solely on viewing habits, which may not accurately reflect a viewer's current interests or needs, leading to a significant portion of the audience being disinterested in the advertised goods or services.
Innovation Solution
A cross-platform advertising system that correlates subscriber viewing data with Internet browsing and telephone calling data to create profiles, using correlation software to identify patterns and select relevant advertisements based on real-time user interests, interests velocity, and demographic information, allowing for targeted ad delivery across multiple devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advertisements are targeted based on viewing habits alone, then the advertising system is simple to implement, but the accuracy of identifying viewer interests is low
Solution Approach 1:
The patent combines multiple data sources (viewing data, browsing data, telephone calling data, email configuration data) into a unified subscriber account profile. This merging of diverse data types enables more accurate identification of viewer interests while sharing the processing load across integrated systems.
Solution Approach 2:
The system creates a multi-functional subscriber account profile that serves multiple purposes: identifying viewing habits, browsing preferences, calling patterns, and demographic characteristics. This universal profile structure allows a single data repository to support various advertising targeting dimensions simultaneously.
2Productivity
If cross-platform data is collected and correlated, then the accuracy of ad targeting is improved, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent introduces a correlation software component that acts as an intermediary between raw data collection and ad selection. This intermediary processes and integrates data from multiple platforms, transforming disparate data sources into a unified subscriber profile that can be efficiently used for advertising decisions.
Solution Approach 2:
The system performs preliminary data correlation and profile creation before the actual ad selection process. By pre-processing and integrating data from viewing, browsing, calling, and email sources in advance, the system prepares comprehensive subscriber profiles that enable rapid and accurate ad targeting when needed.
3Reliability
If subscriber data from multiple platforms is integrated, then user profiles become more accurate, but the difficulty of data management and billing system accommodation increases
Solution Approach 1:
The subscriber account profile serves as a universal data structure that accommodates multiple data types (viewing, browsing, calling, email) within a single framework. This multi-functional profile design enables accurate user representation while providing a unified management interface that simplifies cross-platform data handling.
Data Source
AI summary
A cross-platform advertising system utilizes viewing data, browsing data, and telephone call data to establish subscriber account profile and, optionally, user profiles for users at the subscriber account. An ad selection processor selects ads based on subscriber account profile and, optionally, the user profile. An ad delivery processor delivers the selected ads to a device associated with the subscriber account.