![]() Modify the other properties and widget titles to customize the visualization. Modify the aggregation of the day field to show the data by date. Drag a spline chart to the design canvas and configure it by adding the day field to the columns section and the views field to the values section. Next, let’s configure a spline chart to show the total views by date. Similarly, configure the other card widgets with the required key metrics to be displayed. Modify the title and properties as required. Click the Widget Settings icon in the card and add the required metrics to the Actual Value column. Drag the cards to the design canvas and start building the dashboard. You can see the prepared data source in the data sources list.įirst, let’s configure the cards to show key metrics. Formatting the dataįinally, provide a name for your data source and click Save. Modify the day field to Date and other metrics to Integer. Since the response contains all the data in string format by default, modify the data type of the fields. Eventually, the data source designer will open and you can drag your table to the design canvas. In the preview pane, check your results and click Connect. Once authorized, add the URL in the connection wizard and choose your refresh time interval. Creating a new data sourceĬhoose Google Analytics from the list of connections and authenticate with your Google account. In the dashboard designer application, open the data connection wizard in the right panel and choose New Data Source. In your dashboard’s home page, click the New Dashboard menu and select the Blank Dashboard option. Let’s use this API and start building our dashboard. The final API query is built as follows: Since our dashboard is going to be built upon the time series, the ‘day’ dimension can be used. The Dimensions document contains definitions for all the dimensions. Optional parameters such as dimensions, filters, and currency can be added if you need to narrow down the report to a specific criterion.ĭimensions are comma-separated lists of YouTube Analytics dimensions, such as video, ageGroup, or gender. The value should be in YYYY-MM-DD format. The end date for fetching YouTube Analytics data. The start date for fetching YouTube Analytics data. Refer to this page on reporting for the complete list of metrics available.Ĭhoose the list of metrics required and add the parameters in the query. ![]() For a content owner, use ‘contentOwner=OWNER_NAME’, where OWNER_NAME is the content owner ID for the user.Ī comma-separated list of YouTube Analytics metrics, such as views, likes, or dislikes.For your own channel, use ‘channel=MINE’.Identifies the YouTube channel or content owner for which you are retrieving YouTube Analytics data. The following table explains how to include the mandatory parameters in the API query. Please refer to the previous link for the complete details of optional and required parameters. ![]() The API accepts several parameters that can be configured. The following API is used to fetch YouTube reports. Refer to this documentation to learn more about the report query. To start, let’s build the required query using the Reporting API. Custom YouTube Analytics dashboard Building the API Using the Analytics API, we are about to build a simple dashboard with key metrics, as shown in the following image. YouTube Data API connector Building the Dashboard The dedicated YouTube connection lets you connect to the Data API. Google Analytics Connector for YouTube Analytics This connection extracts only the essential information from the response and ignores the other metadata. To build dashboards from an analytics API, use the Google Analytics connection in the data connections wizard. The YouTube Data API helps you search for videos matching specific search terms, topics, locations, and publication dates.īold BI dashboards support both types of APIs for building your custom dashboards. The YouTube Reporting and Analytics APIs let you retrieve YouTube Analytics data to automate complex reporting tasks, build custom dashboards, and more. Google offers two different types of APIs that allow you to gather the essential information from your channel: Homepage view in Bold BI dashboards APIs overview ![]() If you are new to Bold BI dashboards, sign up for a free 15-day trial on our website. At the end of the registration process, you will reach the following page. Let’s see how to build a simple analytics dashboard to show the key metrics of your YouTube channel all in one place using Bold BI. Creating a custom analytics dashboard is often required to monitor your subscribers’ engagement with the content in your channel. YouTube is one of the most powerful social media marketing platforms used by businesses around the world to reach and engage customers.
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