In 2024, the engagement rate on YouTube content experienced***************** compared to the previous year. The average engagement rate on YouTube was of **** percent in the last examined period, down from the **** percent recorded in 2023.

In 2023, YouTube influencers with between 1,000 and ***** followers had an engagement rate, amounting to *** percent. The rate for influencers with more 1,000,000 followers was higher - *** percent.

YouTube Video Engagement and Metrics Dataset

This dataset contains detailed engagement metrics for YouTube videos over time. The data includes views, likes, comments, shares, and other key metrics for individual videos, allowing for analysis of video performance and audience interaction.

Columns:

• video_id: The unique identifier for each YouTube video.
• day: The date of the video engagement data (format: YYYY-MM-DD).
• views: The total number of views the video received on that day.
• redViews: The number of red views (e.g., views where users interacted with specific content).
• comments: The number of comments made on the video.
• likes: The number of likes received on the video.
• dislikes: The number of dislikes received on the video.
• videosAddedToPlaylists: The number of times the video was added to playlists.
• videosRemovedFromPlaylists: The number of times the video was removed from playlists.
• shares: The number of times the video was shared.
• estimatedMinutesWatched: The total estimated minutes of the video watched.
• estimatedRedMinutesWatched: The total estimated red minutes watched (similar to views but involving specific content interactions).
• averageViewDuration: The average duration of views for the video (in seconds).
• averageViewPercentage: The average percentage of the video watched.
• annotationClickThroughRate: The click-through rate for video annotations.
• annotationCloseRate: The close rate for video annotations.
• annotationImpressions: The number of times an annotation was shown to viewers.
• annotationClickableImpressions: The number of times a clickable annotation was shown.
• annotationClosableImpressions: The number of times a closable annotation was shown.
• annotationClicks: The number of clicks on the annotations.
• annotationCloses: The number of times the annotation was closed.
• cardClickRate: The click-through rate for cards in the video.
• cardTeaserClickRate: The click-through rate for teaser cards.
• cardImpressions: The number of times a card was shown in the video.
• cardTeaserImpressions: The number of times a teaser card was shown in the video.
• cardClicks: The number of times a card was clicked.
• cardTeaserClicks: The number of times a teaser card was clicked.
• subscribersGained: The number of subscribers gained on the day due to the video.
• subscribersLost: The number of subscribers lost on the day due to the video.

Example Data:

Use Cases:

• Video Performance Analysis: This dataset is ideal for analyzing how videos perform on YouTube based on views, engagement metrics, and audience interaction. It can help identify patterns in video popularity, like which videos generate the most views or engagement.
• Trend Prediction: With historical data on views, likes, shares, and subscriber changes, this dataset can be used to predict future trends and identify successful strategies for growing a YouTube channel.
• Audience Engagement Insights: The dataset provides detailed metrics on comments, likes, dislikes, and shares, allowing for a deeper understanding of how the audience interacts with videos and what drives user engagement.
• Marketing and Monetization: Brands and creators can use the dataset to track how their videos perform in terms of monetization-related metrics, such as subscriber gain and video shares.
• Content Strategy Optimization: By analyzing which videos have the highest views, average view duration, and engagement rates, content creators can optimize their video content strategy to increase viewership and audience retention.
• Platform Analytics: This dataset can be useful for platforms and companies analyzing YouTube video performance, to develop tools or reports for content creators to improve their engagement and audience reach.

Data Range:

• Start Date: 2019-09-06
• End Date: 2024-11-10

This dataset i...

Comprehensive YouTube channel statistics for EXTRA (A) NORMAL, featuring 411,000 subscribers and 79,644,625 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in BR. Track 2,012 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.

This dataset provides an in-depth look at YouTube video analytics, capturing key metrics related to video performance, audience engagement, revenue generation, and viewer behavior. Sourced from real video data, it highlights how variables like video duration, upload time, and ad impressions contribute to monetization and audience retention. This dataset is ideal for data analysts, content creators, and marketers aiming to uncover trends in viewer engagement, optimize content strategies, and maximize ad revenue. Inspired by the evolving landscape of digital content, it serves as a resource for understanding the impact of YouTube metrics on channel growth and content reach.

Video Details: Columns like Video Duration, Video Publish Time, Days Since Publish, Day of Week.

Revenue Metrics: Includes Revenue per 1000 Views (USD), Estimated Revenue (USD), Ad Impressions, and various ad revenue sources (e.g., AdSense, DoubleClick).

Engagement Metrics: Metrics such as Views, Likes, Dislikes, Shares, Comments, Average View Duration, Average View Percentage (%), and Video Thumbnail CTR (%).

Audience Data: Data on New Subscribers, Unsubscribes, Unique Viewers, Returning Viewers, and New Viewers.

Monetization & Transaction Metrics: Details on Monetized Playbacks, Playback-Based CPM, YouTube Premium Revenue, and transactions like Orders and Total Sales Volume (USD).

Comprehensive benchmarks for the Home industry across TikTok, Instagram, and YouTube, including metrics like average video views and engagement statistics.

Comprehensive YouTube channel statistics for Average Rob, featuring 678,000 subscribers and 77,647,707 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in BE. Track 138 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.

Context

This dataset represents real performance metrics of content on a YouTube channel. Each row seems to correspond to an individual video or campaign, with various KPIs (Key Performance Indicators) like views, watch time, reach, CTR, engagement, and earnings. The dataset can be used for YouTube performance analysis, influencer marketing evaluation, or content strategy optimization.

Name
Date : Date of video publishing or performance snapshot Video Title : Title or name of the video content Platform : Social platform, likely YouTube Influencer Name : Name of the content creator/influencer Subscribers : Total subscriber count at the time Views : Total video views Watch Time (Hours) : Total watch time in hours Average View Duration : Average watch duration per viewer Reach : Unique accounts reached Click Through Rate (%) : CTR for the video thumbnail Likes : Number of likes received Comments : Number of comments Shares : Number of shares Revenue : Revenue or earnings from video (AdSense or influencer payout)

Use Cases

Performance monitoring of YouTube content

ROI and ROAS analysis for influencer campaigns

A/B testing for video titles/thumbnails

Trend identification across different video types

YouTube Videos Dataset

Video titles, thumbnail links, country codes, views, added subs, etc.

About this dataset

This YouTube Analytics dataset contains a wealth of information that can be used to study how to engage viewers and keep them coming back for more. With columns like thumbnail link,, country codes, views, and user subscriptions added, this dataset provides valuable insights into how YouTube videos perform and what factors influence viewer engagement. Additionally, the average view percentage and watch time columns can be used to gauge the overall success of a video in terms of engagement

How to use the dataset

This dataset can be used to study how viewers engage with YouTube videos. The data includes information on likes, dislikes, comments, shares, and subscribers gained or lost. This data can be used to improve video content and keep viewers coming back for more

Research Ideas

• Study engagement strategies for YouTube videos
• Improve video content to keep viewers engaged
• Understand how viewers interact with YouTube videos

Acknowledgements

The YouTube Analytics dataset was collected by Nick Hass.

License

See the dataset description for more information.

Columns

File: Aggregated_Metrics_By_Country_And_Subscriber_Status.csv | Column name | Description | |:-------------------------------|:---------------------------------------------------------------------| | Thumbnail link | A link to the thumbnail image of the video. (String) | | Country Code | The country code of the viewer. (String) | | Is Subscribed | Whether or not the viewer is subscribed to the channel. (Boolean) | | Views | The number of views the video has. (Integer) | | User Subscriptions Added | The number of subscriptions the video has gained. (Integer) | | User Subscriptions Removed | The number of subscriptions the video has lost. (Integer) | | Average View Percentage | The average percentage of the video that viewers watch. (Float) | | Average Watch Time | The average amount of time viewers spend watching the video. (Float) |

File: Aggregated_Metrics_By_Video.csv | Column name | Description | |:-----------------------|:--------------------------------------------------------------| | Views | The number of views the video has. (Integer) | | Shares | The number of times the video was shared. (Integer) | | Likes | The number of likes the video has. (Integer) | | RPM (USD) | The revenue per thousand views the video has. (Float) | | CPM (USD) | The cost per thousand views the video has. (Float) | | Watch time (hours) | The total number of hours the video has been watched. (Float) |

File: All_Comments_Final.csv | Column name | Description | |:----------------|:-----------------------------------------------| | Comments | The number of comments on the video. (Integer) | | Reply_Count | The number of replies to the video. (Integer) | | Like_Count | The number of likes on the video. (Integer) | | Date | The date the video was published. (Date) |

File: Video_Performance_Over_Time.csv | Column name | Description | |:-------------------------------|:---------------------------------------------------------------------| | Date | The date the video was published. (Date) | | Thumbnail link | A link to the thumbnail image of the video. (String) | | Views | The number of views the video has. (Integer) | | User Subscriptions Added | The number of subscriptions the video has gained. (Integer) | | User Subscriptions Removed | The number of subscriptions the video has lost. (Integer) | | Average View Percentage | The average percentage of the video that viewers watch. (Float) | | Average Watch Time | The average amount of time viewers spend watching the video. (Float) |

This dataset contains 30,000 YouTube video analytics records, created to simulate realistic YouTube Studio performance data from the last 12 months. It provides per-video metrics such as impressions, click-through rate (CTR), average view duration, watch time, likes, comments, and traffic sources.

This dataset is useful for:

YouTube trend analysis Predictive modeling Engagement analysis Audience retention studies Recommender systems Machine learning and EDA Content performance optimization

All upload dates fall within the previous 365 days, making the dataset aligned with recent YouTube trends.

COLUMN DESCRIPTIONS

Post_ID – Unique video ID used to join with other tables. Upload_Date – Video upload date within the last 1 year. Video_Duration_Min – Total length of the video in minutes. Avg_View_Duration_Sec – Average watch time per viewer. Avg_View_Percentage – Percentage of the video that users watched. Subscribers_Gained – Number of subscribers gained from this video. Traffic_Source – How viewers discovered the video (Search, Suggested, Browse, External, etc.). CTR_Percentage – Click-through rate of the thumbnail impressions. Impressions – How many users saw the video thumbnail across YouTube surfaces. Likes – Total number of likes received. Comments – Number of comments posted. Shares – Number of times the video was shared. Total_Watch_Time_Hours – Total accumulated watch time in hours (critical YouTube ranking signal).

WHY THIS DATASET MATTERS

YouTube’s recommendation system prioritizes: high watch time high CTR strong audience retention strong engagement (likes, comments, shares)

This dataset includes all of these metrics, allowing deep analysis of: what makes videos perform well which traffic sources are strongest how video length affects watch time how engagement influences discoverability seasonal or monthly patterns in video performance

Comprehensive benchmarks for the Food and Beverage industry across TikTok, Instagram, and YouTube, including metrics like average video views and engagement statistics.

Comprehensive YouTube channel statistics for The Average Artist, featuring 106,000 subscribers and 8,947,173 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in GB. Track 396 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 benchmarks for the beauty industry across TikTok, Instagram, and YouTube, including metrics like average video views per post and engagement statistics.

Comprehensive YouTube channel statistics for Parto Normal, featuring 209,000 subscribers and 106,122,718 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in CA. Track 521 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.

As of April 2024, Bahrain was the country with the highest Instagram audience reach with 95.6 percent. Kazakhstan also had a high Instagram audience penetration rate, with 90.8 percent of the population using the social network. In the United Arab Emirates, Turkey, and Brunei, the photo-sharing platform was used by more than 85 percent of each country's population.

Comprehensive YouTube channel statistics for Not-So-Average-Fangirl, featuring 318,000 subscribers and 85,225,667 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Entertainment category and is based in US. Track 744 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 Under the Median, featuring 219,000 subscribers and 25,483,704 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Education category and is based in US. Track 565 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 Average Rob, featuring 679,000 subscribers and 77,949,003 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in BE. Track 139 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 Markiplier, featuring 37,900,000 subscribers and 22,996,855,694 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Gaming category and is based in US. Track 5,777 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 Mark Goldbridge, featuring 414,000 subscribers and 43,116,768 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. Track 383 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.