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.
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Used to show a simple Metric or to draw attention to one key number.
Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.
To track Annotation Close Rate using Databox, follow these steps:
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.
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.
Dislikes are a metric on YouTube that represents the number of viewers who have given a thumb down to a particular video. This metric is used to measure the level of audience engagement and can influence the algorithm's recommendation of the video to other users.
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.
Shares is a metric that measures how many times a YouTube video has been shared across different social media platforms, indicating its virality and potential reach beyond the YouTube platform.
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 views by playback location metric in YouTube analytics shows the different sources from where your videos were viewed such as YouTube watch page, suggested videos, embedded players, and mobile devices.
Views by Traffic Source metric shows the number of views generated by each source such as YouTube search, suggested videos, external websites, etc. It helps to understand which traffic sources are driving more views to your videos.