Commercial Transaction Detection via Mobile Behavior Correlation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In digital broadcasting, it is challenging to effectively track the effectiveness of commercial advertisements, as they interrupt programming and lack clear metrics for measuring viewer response, particularly in mobile or handheld device contexts.
Innovation Solution
A method involving the collection of percipient behavior information from mobile devices, correlating it with transaction data, and determining a confidence level for commercial transaction occurrence, using digital broadcast signals to facilitate and track commercial transactions by associating commercial messages with ancillary data and filtering systems to optimize ad presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If commercials are broadcast during program breaks, then advertisers can promote products and services, but viewers experience interruption of programming and advertisers cannot track effectiveness
Solution Approach 1:
The system implements feedback by capturing viewer responses (clicks, purchases, behavior changes) and transmitting them back to advertisers through digital identifiers. This allows advertisers to track the effectiveness of their commercials by receiving real-time or near-real-time data about viewer actions taken after exposure to the advertisement.
Solution Approach 2:
The patent introduces digital intermediaries including mobile devices, sensors, and data transmission systems that act as mediators between the commercial broadcast and the viewer's response. These intermediaries capture behavioral data and facilitate the transmission of effectiveness metrics without directly interrupting the programming content.
2Measurement precision
If digital television is used to broadcast commercials, then advertising reach is expanded, but measurement of viewer response and transaction effectiveness remains difficult
Solution Approach 1:
The system employs self-service mechanisms where mobile devices and sensors automatically capture viewer behavior data without requiring manual input or complex external tracking infrastructure. The digital identifiers embedded in commercials enable automatic recognition and tracking, allowing the system to self-measure effectiveness through automated data collection and transmission.
Solution Approach 2:
The patent replaces traditional mechanical or manual tracking methods with electronic and digital systems. Instead of using complex survey mechanisms or manual response collection, the system uses digital signal processing, mobile device sensors, and automated data transmission to precisely measure viewer responses and transaction effectiveness.
3Adaptability or versatility
If regionally localized broadcast signals are used, then ad relevance to local viewers is improved, but tracking and filtering complexity increases
Solution Approach 1:
The system applies local quality by tailoring commercial content to specific geographic regions through localized broadcast signals. Different regions receive different advertisements based on their location, allowing advertisers to target local audiences with regionally relevant content while maintaining a unified national or global advertising strategy.
Solution Approach 2:
The filtering system dynamically adjusts commercial delivery based on real-time viewer location and behavior data. The system continuously updates which ads are transmitted to which regions, creating a dynamic advertising delivery mechanism that adapts to changing viewer contexts without requiring complex manual configuration.
Data Source
AI summary
Determining whether a commercial transaction has taken place may include a) collecting percipient behavior information from a mobile communication device associated with a percipient, wherein the percipient behavior information is related to behavior of the percipient; b) determining a correlation between the percipient behavior information and transaction behavior information associated with a predetermined commercial transaction; and c) determining from the correlation a confidence level for whether the predetermined commercial transaction has taken place.