Cross-Platform Audience Deduplication Using Panel and Census Data
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Solution Overview
Problem
Existing audience measurement systems face challenges in accurately deduplicating media impressions across multiple platforms and devices, leading to overcounting or undercounting of unique audience members due to duplicate impressions, especially when media is accessed through different devices or platforms.
Innovation Solution
A scalable approach using a combination of panel data, predictive models (priors), and census data to determine unique audience totals and probability distributions, incorporating integration and alignment circuitry to ensure logically consistent estimates across various platform combinations and demographics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional audience measurement methods are used, then media impressions can be counted, but duplicate impressions across multiple platforms and devices lead to inaccurate audience size estimation
Solution Approach 1:
The patent segments the audience measurement process into multiple independent components: panel data collection, predictive modeling, and integration/alignment systems. Each component handles specific aspects of data processing, allowing precise deduplication through coordinated operation of these segmented functions rather than relying on a single monolithic approach.
Solution Approach 2:
The patent introduces intermediary systems including integration circuitry and alignment circuitry that mediate between different data sources (panel data, census data, predictive models). These intermediaries process and reconcile duplicate information across platforms, enabling accurate audience estimation by filtering out duplicate impressions through coordinated data harmonization.
2Reliability
If multiple data sources are integrated to improve measurement accuracy, then audience estimates become more reliable, but system complexity increases
Solution Approach 1:
The patent designs integration and alignment circuitry that serves multiple functions simultaneously: integrating panel data with census data, applying predictive models, deduplicating impressions, and ensuring logical consistency across platform combinations. This multi-functionality reduces the need for separate dedicated systems for each task, thereby managing complexity while improving reliability.
Solution Approach 2:
The patent employs predictive models that transform raw data from multiple sources into standardized probability distribution parameters. By converting diverse data formats into unified probabilistic parameters, the system simplifies the integration process and reduces computational complexity while maintaining high reliability through statistically sound parameter transformations.
3Adaptability or versatility
If comprehensive data collection is performed across all platforms, then measurement coverage is improved, but processing time and computational resources increase
Solution Approach 1:
The patent applies partial action by selectively processing data from multiple platforms based on priority and availability rather than uniformly processing all data. The alignment circuitry identifies and processes critical platform combinations first, using predictive models to estimate audience distributions before complete data is available, thereby reducing processing time while maintaining comprehensive platform coverage.
Solution Approach 2:
The patent performs preliminary actions by pre-processing and pre-aligning data from multiple platforms before final integration. Predictive models generate preliminary audience estimates that can be quickly integrated, and alignment circuitry pre-establishes mapping relationships between different platform identifiers. This preliminary preparation significantly reduces real-time processing time while maintaining comprehensive data coverage.
Data Source
AI summary
Disclosed examples access media impression data via one or more wireless communications, the media impression data including panel data obtained from a meter and impression information obtained after an access of media at a computing device; determine an audience deduplication based on the panel data; determine odds ratios for platform combinations based on the audience deduplication; determine posterior distributions for the media based on the odds ratios; perform a sequential odds ratio insertion technique based on the posterior distributions to determine unique audience sizes; align the unique audience sizes based on a constraint; and generate a report including the aligned unique audience sizes.