Studies

YouTube Viewing Behavior of Taiwan’s Netflix Users: Music and Current Affairs Take the Lead

2025/11/07

YouTube Viewing Behavior

This report, conducted by Z.com Engagement Lab, is based on an analysis from the ShareParty Insight behavioral database. It examines YouTube viewing patterns among Taiwan Netflix users, highlighting the top-ranked channels and their content preferences.

According to July 2025 data, the channel with the highest average viewing time among Taiwan’s Netflix users is 滾石唱片 (ROCK RECORDS), with 1.35 hours of monthly viewing per user. This indicates that music content continues to hold strong appeal among streaming audiences.
 Next in the ranking is 關鍵時刻 (Key Moments) (1.25 hours), which focuses on current events and commentary, reflecting this group’s strong interest in news and social issues.

In third place is 志祺七七 x 圖文不符 (1.07 hours), known for its analytical and knowledge-based content that resonates particularly well with younger viewers.
 Following that are 相信音樂 BINMUSIC (0.84 hours) and 三立LIVE新聞 (SET LIVE News) (0.81 hours), suggesting that beyond entertainment, users remain engaged with Mandarin music and up-to-date information.

At sixth place is NOWnews (0.71 hours), which mainly offers short-form news videos — demonstrating the rising influence of concise, fast-paced content on YouTube.

YouTube Channel Rank.png

 

Overall, the ranking reveals a clear dual-axis preference among Taiwan’s Netflix users: “Music” and “News/Knowledge.”
 Music channels such as 滾石唱片 (ROCK RECORDS) and 相信音樂 BINMUSIC maintain strong user loyalty, while current affairs and analytical channels like 關鍵時刻 (Key Moments) and 志祺七七 x 圖文不符 (ChiChi & Graphic Not Fit) fulfill audiences’ informational needs beyond entertainment.

Z.com Engagement Lab will continue to monitor the viewing behaviors of different streaming audiences on YouTube, updating data regularly to provide insights into evolving content preferences, viewing trends, and media consumption habits.

 

 Survey Specifications

Research by|Z. com Engagement Lab powered by GMO Research & AI
Survey Date|2025-07-01 to 2025-07-31
Methodology|Digital behavior tracking
Target Group|Internet users in Taiwan
Sample Size|186
Editor|Z.com Engagement Lab / ShareParty Insights
Review by|Tatt Chen

 * Contents in this report were drafted with input from generative.ai

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