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YouTube GenZ Mobile Viewing Dataset

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Snowflake2026-03-17 更新2026-03-18 收录
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The "YouTube GenZ Mobile Viewing Dataset" captures real-time viewing behavior from Gen Z users watching YouTube on their mobile devices. This dataset includes comprehensive video metadata, engagement metrics, channel information, geographic distribution, and viewing timestamps. Updated in real-time, this dataset provides an unparalleled window into what content resonates with the Gen Z demographic—the most influential consumer generation shaping digital trends today. **Key Features:** - Real-time updates capturing live viewing behavior - Complete video metadata: titles, descriptions, tags, duration, and thumbnails - Engagement metrics: view counts, like counts, and comment counts - Channel and category information for content classification - Geographic distribution of viewers (country, region, city) without personal identifiers - Mobile-first data reflecting authentic Gen Z consumption patterns **Popular Use Cases:** - **Trend Detection:** Identify emerging content trends and viral videos before they peak by tracking real-time Gen Z viewing patterns. - **Content Strategy:** Understand what video formats, durations, and topics drive engagement with Gen Z audiences. - **Geographic Insights:** Analyze regional content preferences and discover location-based viewing trends. - **Creator & Brand Analysis:** Track channel performance and identify rising creators popular with Gen Z viewers. - **Market Research:** Gain insights into Gen Z interests, preferences, and cultural moments as they happen. - **Advertising Intelligence:** Optimize ad placements by understanding which content categories and channels capture Gen Z attention. **Related Subsets:** - **Videos with 1M+ Views:** Analyze highly popular content to understand what drives mass Gen Z engagement. - **Trending by Region:** Explore geographic variations in content preferences across different markets. - **Short-Form vs Long-Form:** Compare engagement patterns between different video durations. **Update Frequency:** Real-time **Privacy:** This dataset excludes all personal identifiers (user IDs, IP addresses, tracking URLs). Geographic data is included at the city/region level for aggregate analysis only.
提供机构:
Verb AI
创建时间:
2026-01-18
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