Nielsen Changes How It Captures Co-Viewing and Demographic Details for More Accurate Ratings

Nielsen is introducing a series of enhancements to improve the accuracy of its ratings, including new methods for capturing co-viewing and demographic information. Starting September 1, the company will begin using data gathered from wearable devices resembling smart watches, worn by participants in Nielsen's panel. These devices, which were tested earlier in the year, record audio from TV shows, movies, and events, allowing for passive measurement without requiring panelists to actively log in.

Furthermore, Nielsen is enhancing its approach to demographic data through its Household Demographic Assignment Model (HDAM). This machine-learning tool identifies household compositions using data from large providers. To better represent Spanish-speaking households, Nielsen is merging data from two surveys: the U.S. Census' American Community Survey and the National Hispanic Enumeration Survey.

The company is also aligning with the Automated Ratings Formulation (ARF)'s DASH Universe Estimates, which it incorporated into its system earlier this year. Nielsen intends to rectify survey data timing discrepancies and revise its universe estimates to reflect recent consumer behavior patterns. A year after launching its big data and panel measurement system, Nielsen will refine its weighting process to more effectively blend panel and big data sources.

Additionally, the company will adjust the data sources utilized by Automated Content Recognition (ACR) providers compared to those Nielsen measures in its panel, as well as the model it employs to aggregate its big data devices into individual households. Nielsen CEO Karthik Rao emphasized the company's ongoing commitment to delivering the most precise measurement for media and advertising clients, stating, "We've spent months collaborating closely with clients and industry experts to further refine Big Data + Panel."