Audience Measurement Using Hybrid Panel and Beacon Data
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Solution Overview
Problem
Current internet audience measurement methods lack accuracy in determining unique visitors and page views due to issues like cookie-per-person and machine overlap adjustments, as well as undercounting from non-beaconed resources, which affect the reliability of audience measurement reports.
Innovation Solution
A system that combines panel-based and beacon-based data approaches to access usage data from client systems, applying adjustment factors such as cookie-per-person, machine overlap, and non-beaconed factors to generate accurate usage measurement data and reports by processing data from both panel-centric and site-centric sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If beacon-based measurement is used to track resource accesses, then resource usage data can be collected, but cookie-per-person and machine overlap cause inaccurate counting of unique visitors
Solution Approach 1:
The patent combines panel-based measurement data with beacon-based measurement data to create a hybrid measurement system. The panel data provides demographic information and helps identify unique individuals, while the beacon data provides comprehensive resource access tracking. By merging these two data sources, the system resolves the contradiction between tracking accuracy and measurement reliability, as the panel data compensates for cookie-per-person and machine overlap issues in the beacon data.
2Loss of information
If panel-based data collection is used with monitoring applications, then demographic information can be gathered, but the system complexity increases due to installation and maintenance requirements
Solution Approach 1:
The patent introduces a data processing server as an intermediary that receives and processes data from both panel members and non-panel members. This intermediary consolidates the complexity of data collection, normalization, and integration into a centralized system, allowing the panel-based demographic data collection to proceed without proportionally increasing overall system complexity. The server acts as a mediator between the complex panel data collection infrastructure and the simpler beacon-based tracking.
3Measurement precision
If adjustment factors are applied to correct measurement inaccuracies, then measurement accuracy improves, but the processing time and computational resources increase
Solution Approach 1:
The patent applies adjustment factors such as cookie-per-person adjustments and machine overlap adjustments in advance during the data processing stage, before generating final measurement reports. By performing these computational corrections preliminarily, the system establishes accurate baseline data that can be reused for multiple reporting purposes, thereby reducing the need for repeated processing and minimizing time loss in subsequent operations.
Data Source
AI summary
Measuring a networked audience is described. Initially, a first set of network usage data based on access of a resource by a first set of client systems is received. Next, a second set of network usage data based on access of the resource by a second set of client systems using a monitoring application installed on the second set of client systems is determined. Usage of the resource based on the first set of network usage data during a time period and one or more adjustment factors based on the second set of network usage data are determined. The determined usage is adjusted using the one or more adjustment factors. Finally, one or more audience reports for the resource using the adjusted usage are generated.