Explore how to connect and visualize your Vimeo data in Databox Analytics
HOW TO
- Connect Vimeo to Databox
- Access pre-built Vimeo Templates
- Build a Databoard using Vimeo data
- Additional Information
How to connect Vimeo to Databox
IN THIS SECTION
- How to connect Vimeo to Databox
- What’s the maximum amount of historical data initially available when you use a new Vimeo Metric in Databox?
- What time zone does Vimeo data sync in?
- How often does Vimeo data sync?
How to connect Vimeo to Databox
To connect a Vimeo Account in Databox, go to Data Manager > + New connection. Type Vimeo in the search bar and click on the green Connect button. Next, click the green Connect now button.
This will open the Authorization window, which is where you will be prompted to enter your Vimeo login credentials and authorize the Databox app.
Pro Tip: Each Vimeo Account must be connected as a separate Data Source in Databox (1 Account = 1 Data Source). Learn more here.
What's the maximum amount of historical data initially available when you use a new Vimeo Data Source Metric in Databox?
Pro Tip: Once your Vimeo Data Source is connected and actively syncing data, we store the data that's collected in our own database. This allows us to accumulate more data over time as more data syncs are made so that you can report on more historical Vimeo data in your Databox reports. Learn more here.
In order to start syncing data for a Metric, you can add it to your Metrics screen, use it in a Scorecard, set a Goal around it, create an Alert for it, or add it to a Databoard. Learn more here.
What time zone does Vimeo data sync in?
Vimeo data is synced in the UTC time zone.
How often does Vimeo data sync?
All Vimeo Data Sources will sync every hour with Databox. Learn more here.
How to access pre-built Vimeo Templates
- Navigate to Databoards > Public Templates
- In the Data Source drop-down list, select Vimeo
- To view a preview of the Template populated with dummy data, click Preview
- To pull the Template into your Account and re-populate it with your own Vimeo data, click Use Template
- Select the appropriate Vimeo Data Source from the drop-down list to complete the process. The Databoard will be re-populated with data from the selected Vimeo Account and can be found on the Databoards page.
Pro Tip: Once the Databoard is available on the Databoards page, it is completely disconnected from the public Template. Therefore, you can further customize this Databoard to meet your specific needs using the Designer.
Popular Vimeo Template
| Vimeo Views & Likes |
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The Vimeo Basics dashboard gives you a high-level overview of video engagement across your account.
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How to build a Databoard using Vimeo data
IN THIS SECTION
Popular Vimeo Metrics
View a full list of Vimeo Metrics available in Databox here.
How to build a Databoard
- Navigate to Databoards > + New Databoard > Start Blank
- Go to the Datablock Library on the left-hand side of the Designer to find the Metric Library.
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Select the appropriate Vimeo from the Data Source drop-down list in the Metric Library.
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View the list of pre-built Vimeo Datablocks in the Metric Library. Click on the Metric or drag and drop your selected Datablock onto your Databoard.
- If a pre-built Datablock isn't available for your use case, navigate to the Visualization Types section above the Metric Library.
- View the list of Visualizations available in Databox. Click on the Visualization or drag and drop the selected Datablock to your Databoard.
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Click on the Datablock on the Databoard to open the corresponding Datablock Editor on the right-hand side of the Designer.
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In the Metrics drop-down, click Data Source to select the appropriate Data Source. This will filter out metrics from the specific Data Source.
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In the main Metrics drop-down, select the metric you'd like to display on the Datablock, using the Search bar if needed. This will update the Datablock, and it will populate with the corresponding data.
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Complete steps 4-9 until your Databoard is complete.
Additional Information
Granularity Restrictions
- Due to API limitations, hourly granularity is not supported. This may affect visualization options for Charts in Databox.
Learn more about Granularity here.