Local Media Audience Estimation From Hybrid Return Path Data
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Solution Overview
Problem
Current methods for local market audience measurement in media content are limited by biased and incomplete return path data or costly and small sample sizes of traditional sample-based techniques, lacking accurate and detailed estimates at an affordable cost.
Innovation Solution
A statistical combination of national sample-based audience measurement data, local return path data, and local population data is used to estimate local market audiences, leveraging the strengths of both methods to provide unbiased, detailed, and continuous estimates through a system comprising a national audience weighter and a local audience factorer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sample-based techniques are used for local market audience measurement, then measurement precision can be maintained, but the sample size is small and cost is high
Solution Approach 1:
The patent combines national sample-based audience measurement data with local return path data to create a hybrid measurement system. This merging allows the system to leverage the precision of sample-based methods while incorporating the larger data volume from return path data, thereby maintaining measurement accuracy while effectively increasing the usable sample size for local market analysis.
Solution Approach 2:
The patent uses statistical weighting and normalization techniques as intermediary processes to reconcile national sample data with local return path data. These intermediary methods enable the integration of data from different sources with varying characteristics, allowing the system to maintain precision while utilizing larger data sets.
2Quantity of substance
If return path data from cable and satellite set-top boxes is used, then cost is reduced and data volume is increased, but the data is biased and incomplete
Solution Approach 1:
The patent converts the bias and incompleteness of return path data into a benefit by using statistical techniques to identify and correct for these deficiencies. The system uses the large volume of return path data while applying weighting and normalization to compensate for biases, thereby transforming what would be harmful data quality issues into acceptable measurement results.
Solution Approach 2:
The patent applies statistical parameter changes through weighting factors and normalization procedures to adjust the return path data. By changing the parameters of the raw return path data through these statistical transformations, the system corrects biases and incompleteness while preserving the benefit of large data volume and reduced cost.
3Measurement precision
If national sample-based audience measurement data is used, then measurement accuracy is maintained, but cost increases and local market detail is lost
Solution Approach 1:
The patent segments the audience measurement system into national and local components. National sample-based data provides the accuracy foundation, while local return path data provides market-specific details. This segmentation allows the system to maintain accuracy through national data while adding local detail through regional data, without requiring a completely complex new system.
4Ease of manufacture
If local market audience measurement is performed with smaller sample sizes, then cost is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent merges national sample-based data with local return path data to create a cost-effective local measurement system. By combining these data sources, the system achieves adequate precision without requiring large local sample sizes, thereby reducing costs while maintaining measurement quality through the complementary strengths of both data sources.
Data Source
AI summary
Disclosed example audience measurement apparatus determine a first audience metric based on set-top box return path tuning data obtained from set-top boxes located in a first geographic area; determine a second audience metric from a portion of audience measurement data corresponding to a second geographic area, the portion of the audience measurement data associated with monitored sites in the second geographic area having second set-top box characteristics that correspond with first set-top box characteristics of the set-top boxes located in the first geographic area; determine ratios of (i) respective first audience metrics determined for respective demographic stratifications to (ii) corresponding second audience metrics determined for the respective demographic stratifications; and combine the ratios after multiplication with third audience metrics determined, for the respective demographic stratifications, from the audience measurement data to determine an audience exposure metric that estimates exposure to media in the first geographic area.