Dynamic Advertisement Frequency Control System
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Solution Overview
Problem
Advertisers face inefficiencies in television advertising as they often show ads beyond the optimal number of views, leading to decreased effectiveness and viewer annoyance, with current methods lacking the ability to monitor and adjust ad frequency based on individual viewer habits.
Innovation Solution
A system and method to monitor the number of times an advertisement is viewed and replace it with another after a predetermined optimum number, using digital broadcast sources and client devices to determine viewer habits and adjust ad frequency dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If advertisers show a single advertisement several times at different times and on different channels, then the number of people exposed to the advertisement increases, but the advertisement loses value and effect after a certain optimum number of views
Solution Approach 1:
The system implements feedback by monitoring and tracking the number of times each advertisement has been viewed by individual users. This feedback mechanism allows the system to adjust ad delivery dynamically, replacing advertisements once they have reached their optimal view count, thereby maintaining ad effectiveness while still achieving broad exposure through alternative ads.
Solution Approach 2:
The advertisement delivery system transitions from a static, fixed schedule to a dynamic model where ad replacement is determined by real-time view count monitoring. The system dynamically replaces advertisements based on individual user exposure history, allowing the ad delivery strategy to adapt to each user's specific viewing patterns and maintain optimal effectiveness.
2Quantity of substance
If advertisers show advertisements more than the optimum number of times to guarantee adequate coverage, then audience coverage increases, but viewer annoyance increases and effectiveness decreases
Solution Approach 1:
The system uses feedback from tracking individual user view counts to determine when to replace advertisements. This prevents over-exposure by automatically stopping ad delivery to individual users after they have seen the ad the optimal number of times, thereby eliminating viewer annoyance while maintaining adequate overall audience coverage through other users who have not yet reached the limit.
Solution Approach 2:
The system changes the parameter of ad delivery from a fixed, uniform approach to a variable approach where the number of times an ad is shown to each user is dynamically adjusted based on their individual exposure history. This parameter change allows the system to optimize coverage across the entire audience while preventing any single user from experiencing excessive exposure.
3Reliability
If the system monitors and tracks advertisement view counts for each user, then ad effectiveness is optimized, but system complexity increases
Solution Approach 1:
The system implements self-service by automatically monitoring, tracking, and managing advertisement view counts without requiring manual intervention. The automated tracking and replacement logic handles the complexity internally, allowing the system to optimize ad effectiveness while minimizing the operational burden on users or external systems.
Solution Approach 2:
The patent introduces an intermediary component (the monitoring and tracking system) that sits between the advertisement delivery and the user. This intermediary handles the complexity of tracking and managing ad exposure, shielding the rest of the system from complexity while enabling optimized ad delivery based on detailed view count monitoring.
Data Source
AI summary
Disclosed are methods and systems for controlling the frequency that a user views an advertisement. In particular, the systems monitor the number of times an advertisement is played to a user. Once the advertisement has been played a predetermined number of times, the advertisement is replaced by another advertisement.