Track all of your key business metrics from one screen
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Matomo is a web analytics platform that offers an open-source alternative to Google Analytics. It provides comprehensive insights into website traffic, user behavior, and conversions, while prioritizing data privacy and ownership.
The Plays metric in Wistia measures the total number of times a video has been played by viewers on a website or platform. It is a key indicator of engagement and can be used to track the popularity of a video over time.
Total Plays is a metric in Wistia that measures the total number of times a video has been played across all channels and devices. It helps gauge the overall popularity and reach of a video.
Loads measure the total number of times a video has started playback, including repeats by the same viewer, across all devices and platforms.
Total Plays by Projects is a metric that measures the total number of plays your videos received within a certain project on Wistia. It helps you track engagement and popularity of your video content.
Total Plays by Videos is a metric that measures the number of times all your videos have been played across all channels in a given time frame. It's a key performance indicator that helps evaluate the overall impact of your video content.
Hours Watched is a Wistia metric that shows the total number of hours that viewers have spent watching a video or a collection of videos. It's a valuable insight into engagement and audience interest.
The Average Engagement metric shows the average level of viewer engagement with a video on Wistia, based on how much of the video was watched and how many interactions were made.
Play Rate is the percentage of pageviews that resulted in the video being played. It helps measure the effectiveness of video content in attracting and engaging viewers.
Hours Watched by Projects is a Wistia metric that measures the total amount of time viewers have spent watching videos in a particular project or group.
Play Rate by Projects is the percentage of times that a video is played relative to the number of times it was loaded within a given project in Wistia. It measures engagement with specific videos within a project.
The Average Engagement by Videos metric measures the level of engagement of viewers with a specific video, based on the percentage of the video viewed and any interactions made.
Total Actions in Wistia represents the number of times a viewer has interacted with your video, including play, pause, seek, and more.
The Total Videos metric in Wistia refers to the total number of videos uploaded and hosted on a specific Wistia account.
Play Rate by Videos is a metric that measures the percentage of times a video is played relative to the number of times it was loaded on a webpage or viewed in an email. It shows the effectiveness of the video's thumbnail and title in encouraging viewers to click play.
The Total Loads by Projects metric tracks the number of times videos are viewed across all projects in a Wistia account, providing insights into overall view engagement and campaign performance.
Hours Watched by Videos is a Wistia metric that tracks the total duration of video content watched by viewers. It helps measure engagement and assess the success of your video marketing efforts.
Total Actions by Videos is a Wistia metric that measures the total number of actions taken by viewers while engaging with a video, such as play, pause, rewind, or share.
Video Uploads is a metric that measures the number of videos that have been uploaded to a Wistia account. It provides insights into content production and quantity of media available for use.
Plays by Videos is a metric that measures the total number of times a video has been played across all pages and players on your Wistia account.
The Identified Users metric in Wistia measures the number of unique viewers who have logged in or provided their contact information to access your video content. It helps you understand and track engagement among your known audience.
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Get a detailed overview on the performance of your projects and indivusual videos.
This template is perfect for clients who want a general overview of their social media performance without getting into too much detail. This will summarize how their brand is doing within the social community.
Matomo data is synced in UTC. If Matomo account has any other time zones selected for websites, they will not be listed during the connection process in Databox. It is therefore recommended to select UTC time zone in Matomo account, so the data can properly sync with Databox.
When filters are used in creating Custom metrics in Databox (combination of multiple filters or conditions in Matomo Metric Builder), Matomo Custom metrics might show data discrepancy in Databox. This is because some segments would require to have the same setup in Databox as in Matomo Segment User Interface. However, those kinds of setups result in an error on Databox side, with a status object displayed describing this behavior.
For example, filtering for Event Category of A or B at the same time will not give the expected result, which is a sum of category A and category B values. Instead, Databox will show fewer values, or even a 0. So the logic behind filtering differs between Matomo and Databox.
Because of this, it is recommended to duplicate the setup in Matomo and compare it to the values Databox is showing in order to confirm that the values Databox is showing are indeed what Matomo is displaying on segment level.
Due to an API limitation, Databox can retrieve up to (top) 100 custom dimensions. Learn more about this in Matomo official documentation here.
Dimensions that do not have any values associated with them (values equal to 0) are not in the top 100 based on unique page views, therefore those dimensions are not retrieved via API. As a workaround, it can be checked with Matomo Support team if there is any option to export such data into .CSV or Excel files.
Data sets exported into a .CSV file can then be imported into a Google Sheets file and then this file can be connected to Databox account and used for Custom metric creation.
Matomo offers many different modules from which Databox can pull data, but Custom Dimensions is not one of them. The custom dimensions are therefore not supported in Matomo Metric Builder.
Request for Matomo custom dimensions can be upvoted on the public Databox Roadmap page here:
Whether your Matomo account is self-hosted or cloud-based, it runs on a server where you can adjust settings, including security and privacy configurations.
Check for any installed plugins that might be blocking requests from cloud providers, as this could cause Databox connections to fail.
Some plugins automatically block IP addresses from cloud providers such as AWS, Azure, Google Cloud, or Oracle Cloud. If such plugins or built-in security features are enabled in your Matomo account, try disabling them temporarily to allow the connection.
In order to connect Matomo Data Source successfully, an actual domain of Matomo (website) account must be entered instead of the Matomo website domain.
Domain of Matomo (website) account can be found by following these steps: