VTV measures viewership ratings using big data.

VTV's new solution is expected to provide up-to-date and accurate audience data, instead of the random estimates used previously.

VTVRatings uses big data to calculate television viewership ratings.

Viewership ratings are an important indicator reflecting user interest in television programs. However, in Vietnam, there is currently no formal, reliable measurement solution for this need.

On the morning of March 20th, Vietnam Television (VTV) introduced VTVRatings, a tool for measuring audience across multiple platforms, tracking viewer behavior, and utilizing big data technology.

The advantages of the new solution lie in its real-time updates, high policy accuracy, and transparency.

The system utilizes viewer data from television and digital platforms. Information is collected from multiple sources, including traditional channels, Smart TVs, OTT platforms, and internet devices. Through this large input, VTVRatings accurately records the needs and viewing habits of domestic audiences.

The VTVRatings website interface requires an account to view the content.

Previously, the common measurement method was based on panels. A representative group of households was randomly selected and fitted with a People Meter tracking device. This device collected viewing habits from a small sample audience, calculating estimates to reflect the entire market. The technological weakness lay in the slow update time and the probability of inaccuracies.

The advantages of big data technology include automatic data collection and the ability to filter out duplicate and erroneous information. It also automatically synchronizes with other sources to ensure consistency. Based on AI, VTVRatings can identify common viewing behavior.

New viewership rating technology helps broadcasters assess the appeal of each program, providing a foundation for production decisions. It also supports and enhances the effectiveness of advertising campaigns.