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Nielsen integrates wearable device data and updated methodologies for viewership measurement
Key points
- Nielsen will use data from smart-watch like wearables for co-viewing measurement.
- Updates include new DASH estimates and data from two additional surveys.
- Machine learning tools are being updated to assess household demographics.
- Changes are effective August 31st, ahead of the fall TV season.
Wearable Data for Co-Viewing
Nielsen announced enhancements to its data capture process, effective August 31st. The company will now include information from smart-watch like wearable devices, called Portable People Meter (PPM) Wearables, worn by its research panelists. These devices listen for audio from TV content to measure viewership without requiring manual log-ins.
Methodology Updates
Nielsen is adopting new Device and Account Sharing (DASH) estimates based on recent survey data. Additionally, it will use data from two new surveys to better estimate the number of Spanish-speaking households in its panel. These updates are intended to improve the accuracy and representativeness of its viewership data.
Enhanced Demographic Assessment
The company is also updating its machine learning tool used to process information from data providers. This tool assesses the demographic makeup of individual households, and the update aims to ensure the data is more representative and does not skew towards older residents.
Impact on Viewership Measurement
These changes are being implemented ahead of the upcoming fall TV season to address challenges in capturing reliable viewership data in the streaming era. By integrating wearable technology and refining its demographic assessment, Nielsen seeks to maintain its position as an industry standard for ratings capture amidst fractured viewing habits.
✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →
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Reporting from
Nielsen is incorporating data from wearable devices and updating its methodology to improve viewership measurement, particularly for streaming content. These changes aim to provide more accurate co-viewing data and better represent diverse demographics in its audience panels.