Channel Popularity Tracking for Targeted Advertising
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Solution Overview
Problem
Current advertising systems are limited in tracking users' media consumption across multiple sources, leading to incomplete tracking information and missed opportunities for personalized advertisements.
Innovation Solution
A system and method that captures images from user devices, identifies metadata, determines channel popularity based on user interactions, and provides targeted advertisements on popular channels, enabling efficient estimation of advertisement success before launch.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If advertisers use single-source tracking services, then tracking implementation is simple, but tracking information is incomplete
Solution Approach 1:
The patent combines multiple single-source tracking services into a unified multi-source tracking system. The system integrates tracking data from various websites and media channels, merging previously siloed tracking information into a comprehensive user profile that captures cross-channel media consumption habits.
Solution Approach 2:
The tracking system is designed to universally track user activities across multiple different sources and channels simultaneously. Rather than being limited to a single website or platform, the system functions across diverse media channels including television, online streaming, print, and digital platforms.
2Quantity of substance
If advertisers lack user activity data from multiple sources, then advertising campaign costs are lower, but advertisement personalization is reduced
Solution Approach 1:
The patent introduces a media measurement service as an intermediary that bridges multiple tracking sources and advertisers. This mediator collects, standardizes, and processes data from various channels, then delivers integrated user profiles to advertisers, simplifying the complexity of multi-source data integration.
Solution Approach 2:
The system segments the complex multi-source tracking problem into manageable components: individual channel tracking modules, data aggregation layer, user profile generation layer, and advertisement matching layer. Each segment handles specific tasks, making the overall system more manageable and scalable.
3Productivity
If advertisers target users based on incomplete tracking information, then campaign setup is faster, but purchase conversion likelihood is reduced
Solution Approach 1:
The system performs preliminary actions by pre-processing and organizing user data from multiple sources into ready-to-use profiles before advertising campaigns launch. User media consumption habits are pre-analyzed and segmented, so when advertisers initiate campaigns, personalized targeting is immediately available without delays.
Solution Approach 2:
The patent implements feedback mechanisms where tracking data from advertisement exposures and user responses continuously refine user profiles. This feedback loop improves the accuracy of personalization over time, increasing conversion likelihood while maintaining efficient campaign setup through learned patterns.
Data Source
AI summary
The disclosure includes a system and method for recommending an advertising campaign based on which channels are popular. A recognition application receives captured images from user devices, the captured images including information about products, identify indexed images that match the captured images, identify metadata about the captured images including information associated with products in the captured images, determine popularity of each channel based on a number of interactions that users have had with channels during a time period based on the metadata, receive an advertisement and provide on the one or more channels the advertisement based on the popularity of each channel.