The Total Shares by Video metric measures the overall number of times a TikTok video has been shared by users to various platforms or through direct messages.
With Databox you can track all your metrics from various data sources in one place.
Used to show comparisons between values.
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 by Video 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 Playback Time by Video is a metric that measures the combined duration of all views for a particular video on TikTok. It indicates how long users have spent watching the video, which helps evaluate its overall engagement and popularity.
Total Average View Time measures the average duration that users watch a TikTok video, giving insights into audience engagement and the effectiveness of content in capturing attention.
Total Unique Viewers is a metric that measures the number of distinct individuals who have viewed a TikTok video, regardless of how many times they've watched it.
Profile Views is a TikTok metric that measures the number of times your profile is viewed by other users on the platform. It gives insights into the visibility and reach of your content, helping you gauge audience interest and engagement with your TikTok account.
The Video Views metric measures the total number of times a TikTok video has been viewed, indicating its popularity and reach among users.