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.
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 Save Rate 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.
The Outbound clicks metric on Pinterest measures the number of times users click on a Pin to visit an external website or landing page. This is important for analyzing user engagement and the effectiveness of your Pins in driving traffic to your website or other online destinations. It helps track the performance of your content and understand user behavior beyond just interactions within the Pinterest platform.
Pin clicks is a key metric on Pinterest that tracks how many times users click on a Pin to view more information or visit the linked website. It measures the level of engagement and interest in a Pin, indicating if users are actively seeking more details or taking action based on the content they see. Monitoring Pin clicks can help businesses understand the effectiveness of their Pins and optimize their strategy to drive more traffic and conversions.
Video play time is a metric that measures the total amount of time viewers spend watching a video content. It provides insights into viewer engagement and interest by showing how long users are engaged with the video. Analyzing video play time helps content creators and marketers understand which videos are performing well and can help optimize future video content to increase watch time and audience retention.
Videos played to 95% by Pin metric tracks the percentage of your video that viewers watched until the end. This metric helps understand the engagement level and effectiveness of your video content on Pinterest. Higher percentages indicate strong interest and can lead to higher conversion rates and increased brand awareness.
Video views by Pin is a metric on Pinterest that indicates the total number of times a video Pin has been viewed. This metric is useful for measuring the reach and engagement of video content on the platform. It helps content creators and marketers understand the performance of their video Pins and identify which videos are resonating with their audience. By tracking video views by Pin, users can optimize their video content strategy to drive more views, engagement, and conversions.
The Video 10-second plays by Pin metric on Pinterest measures the number of times a video has been played for at least 10 seconds. This engagement metric is important for assessing viewer interest and content performance. By tracking this metric, creators and businesses can gain insights into which videos resonate with their audience and optimize their video content strategy for maximum impact.
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.