Analyzing Advertisement Effectiveness via Set-Top Box Tune Data
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Solution Overview
Problem
Advertisers face challenges in measuring the effectiveness of television advertisements that promote non-material products or events, as they lack concrete methods to determine if their ads drive desired viewer behavior without expensive studies, leading to inefficient advertising and potential business losses.
Innovation Solution
A system and method that analyzes advertisement effectiveness by correlating exposure to advertisements with subsequent viewing of promoted content using tune data from set-top boxes and digital video recorders, providing statistics and graphical representations to help advertisers manage their advertising spend more efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advertisers increase advertising exposures to drive desired viewer behavior, then the likelihood of business success increases, but advertising costs increase and efficiency decreases
Solution Approach 1:
The system implements feedback by measuring actual viewer behavior (tuning to advertised content) and using this data to evaluate advertising effectiveness. This allows advertisers to adjust their spending based on real performance metrics rather than guessing, resolving the contradiction by making advertising spend efficient while maintaining effectiveness.
Solution Approach 2:
The patent replaces the mechanical/manual process of guessing advertising effectiveness with an automated electronic measurement system that collects tune data, processes it through servers, and generates effectiveness metrics. This substitution enables precise measurement without manual intervention, allowing efficient assessment of advertising ROI.
2Measurement precision
If advertisers use expensive studies to determine advertisement effectiveness, then measurement precision improves, but cost increases
Solution Approach 1:
The system enables self-service measurement by automatically collecting tune data from set-top boxes and digital video recorders, processing it through servers, and generating effectiveness reports without requiring external expensive studies. The advertising measurement system serves itself by utilizing existing infrastructure data that is already being collected for other purposes.
Solution Approach 2:
The patent uses existing tune data that is already being collected and stored for other purposes (content delivery, billing) and copies/reuses this data for advertising effectiveness measurement. This eliminates the need for separate expensive measurement studies by leveraging already-collected data.
3Productivity
If advertisers advertise multiple times to increase viewer action likelihood, then advertising effectiveness improves, but waste of advertising money increases
Solution Approach 1:
The system enables advertisers to optimize their advertising frequency by providing data on actual viewer responses. Instead of blindly advertising excessive times, advertisers can use the effectiveness metrics to determine the optimal number of exposures needed, applying partial action only where and when it produces results, thus improving conversion rate while reducing waste.
Data Source
AI summary
A system and method to analyze the effectiveness of advertisements of presented content. The advertisements include advertisements for which the behavior desired by the advertiser is to drive a viewer to perform a certain action, such as to watch particular television program content. The system determines if an advertisement is effective by correlating exposure to presented advertisements with the subsequent presentation of content that was promoted in the advertisements. To perform the analysis, the system collects tune data from set top boxes, digital video recorders (DVRs), or other component capable of storing tune data related to the content presented on an associated display component.


