Annotation CTR is a metric in YouTube analytics that measures the percentage of viewers who interacted with annotations on your videos, indicating their engagement level.
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Used to show a simple Metric or to draw attention to one key number.
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To track Annotation CTR using Databox, follow these steps:
Annotation close rate is the percentage of viewers who choose to close a video annotation instead of clicking on it. A low close rate indicates high engagement.
Average View Duration measures the average length of time viewers watched a video before leaving. It helps creators determine the level of audience engagement with their content.
The Average Percentage Viewed metric is a measure of the average percentage of a video that a viewer watches before clicking out or stopping. It can help creators understand audience engagement and optimize video content.
Watch Time by Device Type is a metric that measures the total amount of time viewers spend watching YouTube videos on various devices such as mobile, desktop, and TV. It helps creators and advertisers understand how viewers engage with their content across different platforms.
Watch Time by Traffic Source is a YouTube metric that measures the total amount of time viewers spent watching your videos from different sources such as YouTube search, suggested videos, and external links. It helps you understand which traffic sources are driving the most engagement and views to your channel.
The Likes metric on YouTube measures the number of users who have positively expressed their appreciation for a video by clicking the thumbs up icon. This metric indicates the level of audience engagement and sentiment towards the video and can influence its visibility in search results and recommendations.
Subscribers gained is a metric that measures the number of new subscribers a YouTube channel has acquired over a specific period of time, such as a day, week, or month.
The Subscribers Lost metric measures the total number of subscribers who have unsubscribed from a channel during a specific time period. It indicates the decrease in the audience size and can be used to analyze the reasons for the loss of subscribers.