Non-Return Path Adjuster for Addressable Ad Measurement
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Solution Overview
Problem
Existing audience measurement systems, such as those used by The Nielsen Company, struggle to accurately differentiate and measure the viewership of addressable advertisements on non-return path data (NRPD) media devices, as these devices do not provide longitudinal behavioral data, leading to understated audience estimates.
Innovation Solution
The implementation of a non-return path adjuster circuitry that collects and analyzes log level household impressions and log level persons 2+ impressions from both RPD/ACR and non-RPD/non-ACR devices, using an addressable target file to calculate a ratio of served vs. exposed households by designated market area, and adjusts commercial measurement ratings to account for addressable advertisements on non-reporting devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If audience measurement systems rely on return path data (RPD) and automatic content recognition (ACR) devices only, then measurement precision is improved for devices that report data, but the coverage and accuracy of total audience measurement deteriorates because non-reporting devices are excluded
Solution Approach 1:
The system segments the measurement approach by creating separate measurement paths for RPD/ACR devices and non-RPD/non-ACR devices, then combines the results. This allows each segment to be measured with appropriate methods while achieving complete coverage.
Solution Approach 2:
The system uses an intermediary approach by applying ratio-based adjustments derived from RPD/ACR data to estimate viewership on non-reporting devices. This mediator methodology bridges the gap between measured and unmeasured devices.
2Quantity of substance
If the system collects and processes data from both RPD/ACR and non-RPD/non-ACR devices using ratio-based adjustments, then the coverage of audience measurement is improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The system changes parameters by using ratio-based adjustments (derived from served vs. exposed households) to transform limited RPD/ACR data into comprehensive audience measurements that include non-reporting devices, avoiding the need for complex direct measurement of all devices.
3Measurement precision
If commercial measurement ratings are adjusted to account for addressable advertisements on non-reporting devices, then the accuracy of audience estimation is improved, but the difficulty of detecting and measuring viewership increases
Solution Approach 1:
The system performs preliminary actions by pre-calculating ratios of served versus exposed households from available RPD/ACR data before applying these ratios to estimate viewership on non-reporting devices. This preliminary preparation simplifies the subsequent measurement process.
Solution Approach 2:
The system uses copying by applying the measurement patterns and ratios observed from RPD/ACR devices to replicate and estimate viewership behavior on non-reporting devices, inferring unmeasured data from measured counterparts.
Data Source
AI summary
Methods, apparatus, systems, and articles of manufacture for reconciliation of commercial measurement ratings for non-return path data media devices are disclosed. Example apparatus disclosed herein are to estimate unreported addressable impressions for a plurality of unreported households for an addressable advertisement based on an impressions adjustment ratio of served reportable addressable impressions to exposed reported addressable impressions included in impressions data associated with reported households. Disclosed example apparatus are further to calculate at least one of reach or frequency for the addressable advertisement to account for non-reporting devices, the at least one of the reach or the frequency determined based on the exposed reported addressable impressions, the estimated unreported addressable impressions, and the impressions adjustment ratio.