The Total Shares metric on TikTok indicates the overall number of times a video has been shared by users to their followers or other platforms.
With Databox you can track all your metrics from various data sources in one place.
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 Total Shares using Databox, follow these steps:
The Posted Videos metric measures the total number of videos uploaded to a TikTok account. It helps track content creation and frequency, indicating the account's level of activity and engagement potential.
The Total Comments by Video metric measures the overall number of comments received on a TikTok video, reflecting user engagement and interaction with the content.
Total Playback Time is a metric that measures the combined duration of all videos watched by users on TikTok. It reflects the overall engagement and viewing habits of the TikTok community.
Total full video watched rate by video is a metric that measures the percentage of viewers who watch a TikTok video in its entirety without skipping or exiting before it ends. It provides insights into the level of engagement and interest among users for a particular video.
Total Average View Time by video is a metric that measures the average duration of time users spend watching a video, providing insights into video engagement and audience interest.
The Likes metric on TikTok measures the number of users who have shown appreciation for a video by tapping the heart icon. It indicates the popularity and engagement level of a video, helping creators gauge audience reception and content performance.
The Shares metric on TikTok measures the number of times a video has been shared by users, indicating its popularity and potential virality within the platform.
The Video Views metric measures the total number of times a TikTok video has been viewed, indicating its popularity and reach among users.