The Video play time by Pin metric on Pinterest measures the total duration of time that users have spent watching videos within a specific pin. This metric provides insights into viewer engagement and helps creators understand which videos are resonating with their audience. By analyzing this data, content creators can optimize their video content to increase viewership and drive more engagement on the platform.
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 Video Play Time by Pin using Databox, follow these steps:
The Engagements metric on Pinterest measures the total interactions users have with your pins, including saves, clicks, close-ups, and comments. It gives insights into how users are actively engaging with your content, helping you understand what resonates with your audience and how successful your content is in driving interaction and interest.
Engagement rate is a metric that measures the level of interaction and involvement your Pinterest content receives from your audience. It is calculated by dividing the total number of engagements (likes, comments, shares) on a pin by the total number of impressions, then multiplied by 100 to get a percentage. A high engagement rate indicates that your content is resonating well with your audience and driving meaningful interactions. It is an important metric to track to gauge the effectiveness of your Pinterest marketing efforts.
Save rate is the percentage of times users save a Pin to their own boards. It gauges the popularity and relevance of content on Pinterest, helping creators understand their audience's preferences.
Save rate by Pin is a metric on Pinterest that indicates the number of times a specific pin has been saved by users. It measures the engagement and popularity of a pin, showing how many users found the content valuable enough to save and possibly share it. A high save rate indicates that the pin is resonating with the audience and driving interest and interaction. It helps marketers understand which pins are most effective at capturing attention and driving traffic to their content or website. Tracking save rate by pin can inform content strategy and help optimize future pinning efforts for maximum reach and engagement.
Total Pin count is a metric on Pinterest that represents the overall number of times a Pin has been saved to a user's Pinterest boards. It is an important engagement metric that indicates the popularity and reach of a Pin, showing how many users have shown interest in saving and potentially taking action on the content shared. A higher Total Pin count typically signifies greater engagement and interest from the Pinterest community.
The Average video play time by Pin metric on Pinterest measures the average duration that users watch a video on a specific Pin. This metric helps content creators and advertisers understand viewer engagement and preferences. It provides valuable insights into which videos are resonating with the audience and can inform strategies for creating more compelling and engaging video content. By tracking this metric, businesses can optimize their video marketing efforts to drive higher engagement and achieve their goals on the platform.
The Video played to 95% metric on Pinterest measures the percentage of a video that users watch until the very end. It indicates high engagement and interest from viewers, showing that the content is resonating well with the audience and has the potential to drive valuable actions such as clicks, saves, and purchases. High completion rates are indicative of successful video content on the platform.
The Number of video starts metric measures the total count of times a video has been initiated or played by users. It provides insight into the level of engagement and interest generated by the video content, helping assess its effectiveness and popularity. Monitoring this metric helps in understanding viewer behavior and optimizing video strategies for higher watch rates and audience retention.