Curated statistics highlighting why online presence is essential in 2025: search dependence, Google dominance, local/mobile behavior, AI/zero-click, content/video performance, and technical UX.

1) Data Introduction • The YouTube Clickbait Classification dataset consists of video titles and statistics aimed at classifying videos as clickbait or not clickbait. This dataset includes attributes such as video ID, title, views, likes, dislikes, and favorites, providing a basis for binary classification tasks to identify misleading content.

2) Data Utilization (1) YouTube Clickbait data has characteristics that: • It includes detailed statistics for each video, such as views, likes, dislikes, and favorites, alongside the video titles. This information helps in understanding the engagement metrics and identifying patterns associated with clickbait content. (2) YouTube Clickbait data can be used to: • Content Analysis: Assists in developing models to classify videos as clickbait or not, helping in curating quality content and improving user experience on video platforms. • Marketing and SEO: Supports the development of strategies to enhance video reach and engagement while avoiding deceptive practices, aiding in ethical content marketing and search engine optimization.

According to Google search data, from July 2024 and June 2025 the most frequently searched queries in India were “video” and “WhatsApp". These popular searches highlight key content consumption patterns in the country. The strong interest in video-related queries aligns with the fact that video-sharing platforms account for the largest share of monthly social network users in this country. Optimization of video streaming Not surprisingly, video content is witnessing exponential growth in recent years. It is evident in the fact that video streaming accounts for a major share of online mobile traffic across the nation. Recent trends suggest an increase in consumption of video over graphic or text content. Hence, a sound implementation of SEO in videos has become a necessity for a successful content creating channel. One of the major optimization strategies is to cater to the demographic of the nation, which incorporates efficient description, headline, and tag implementation. Keyword search trends Searches related to local preferences are gaining momentum, rendering local SEO invaluable to promoting visibility of the content. Phrases like “near me” and “close to me” have witnessed a significant increase in their frequency of appearances in queries. Since the coronavirus (COVID-19) outbreak, the latter part of 2020 has seen a significant rise in the usage of queries related to the pandemic. This is testament to the influence of recent events on keywords and optimized phrases for improved channel visibility.

Comprehensive YouTube channel statistics for 정서주 JUNG SEO JOO, featuring 249,000 subscribers and 98,357,826 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Music category and is based in KR. Track 113 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Comprehensive YouTube channel statistics for Gaming Raja777, featuring 161,000 subscribers and 4,813,727 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Sports category and is based in IN. Track 111 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.