Correlating Individual Actions to Media Content Distribution
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Solution Overview
Problem
Current methods fail to effectively correlate specific impressions of media content with subsequent actions of target consumers, making it difficult for content providers and advertisers to measure the effectiveness of advertisement campaigns on an individual level.
Innovation Solution
A system and method that identifies and correlates individual action information with media content distribution by using devices, sensors, and communicators to detect user presence, generate database records, and store information related to media content impressions and subsequent behaviors, allowing for the creation of behavior correlation with advertisement profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional large-scale sales measurement methods are used, then advertising effectiveness can be measured at an aggregate level, but individual consumer behavior correlation with specific ad impressions cannot be achieved
Solution Approach 1:
The patent segments advertising effectiveness measurement from aggregate level to individual consumer level by tracking specific users across multiple devices and platforms. It divides the measurement process into distinct components: impression tracking, user identification, behavior monitoring, and correlation analysis, enabling precise measurement of individual consumer responses to specific ad impressions.
Solution Approach 2:
The patent introduces intermediary technologies including mobile devices with identifiers, communication networks, and data processing systems that act as mediators between ad delivery and consumer behavior tracking. These intermediaries enable the correlation of specific ad impressions with subsequent consumer actions across different platforms and devices.
2Loss of information
If individual-level tracking of consumer behavior is implemented, then specific ad impression correlation becomes possible, but system complexity and data management requirements increase
Solution Approach 1:
The patent implements universal tracking mechanisms that function across multiple devices, platforms, and contexts. The system uses universal identifiers and standardized data structures that work consistently across mobile devices, computers, and various applications, reducing the need for device-specific tracking implementations and simplifying overall system complexity.
Solution Approach 2:
The patent enables devices and systems to automatically perform tracking, data collection, and correlation functions without requiring complex manual intervention. The system self-manages data recording, storage, and processing through automated algorithms that correlate ad impressions with consumer behaviors based on captured device identifiers and timestamp data.
3Measurement precision
If comprehensive data collection on consumer behavior is performed, then detailed behavior correlation can be achieved, but data privacy and security concerns increase
Solution Approach 1:
The patent extracts and isolates only the essential data elements needed for behavior correlation, such as device identifiers, timestamps, and basic behavior indicators, while excluding sensitive personal information. This selective extraction approach enables effective tracking and correlation while minimizing privacy risks by collecting only the minimum necessary data.
Data Source
AI summary
Provided is a method for correlating individual action information with media content distribution, the method including obtaining data related to a presence of an external terminal relative to an output device providing media content, obtaining identifying information of a user associated with the detected external terminal, and storing, in a memory, data received from another party which indicates an action of the user at a virtual or physical location associated with a product or service presented in the provided media content.