Setting up the YouTube Analytics Dashboard: A Comprehensive Guide


YouTube Analytics Dashboard - Featured Image

Do you use YouTube as a video sharing platform? Are you trying to load data from Youtube Analytics? If yes, then you are in the right place. YouTube is a premium platform for video sharing. It is widely used by the organisations to create a channel and upload videos of different kinds. YouTube also provides analytics service to keep a track of crucial metrics and statistics. In this blog, you will learn about the available tools and basics of creating a YouTube Analytics Dashboard. 

Table of Contents

  1. What is a Dashboard? 
  2. Method 1: YouTube Analytics Dashboard Using Google Data Studio
  3. Method 2: Youtube Analytics Dashboard Using Google Analytics Studio
  4. Conclusion

What is a Dashboard?

Dashboards are a collection of widgets that give you a bird’s eye view of what’s happening in your BI (Business Intelligence) and analytics process. It shows you reports and metrics on a single screen and lets you monitor and dig deeper into many metrics at once. Dashboards must be easy to create, customize, export and share. A good Dashboard must highlight key trends to aid decision making and should be simple enough to let non-technical users participate easily.

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Hevo is a No-code Data Pipeline. It supports pre-built data integrations from 100+ data sources, including YouTube Analytics( free source among 30+ sources). Hevo offers a fully managed solution for your data migration process to the data warehouse. It will automate your data flow in minutes without writing any line of code. Its fault-tolerant architecture makes sure that your data is secure and consistent. Hevo provides you with a truly efficient and fully automated solution to manage data in real-time and always have analysis-ready data at your destination. Hevo will consolidate your YouTube Analytics data in a data warehouse and provide better insights from it.

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Method 1: YouTube Analytics Dashboard Using Google Data Studio 

As Google owns YouTube, the Google Data studio has inbuilt features to create the Analytics Dashboard(s) using your Youtube data. So, why build anything from scratch if there are existing tools available. 

Let’s see what are the steps to create YouTube Analytics Dashboard using Google Data Studio:

Step 1: Go to Google Data Studio and from existing templates (Templates Gallery) select the “Youtube Channel Report”. Click on the “USE TEMPLATE” to use the default template. 

YouTube Analytics Dashboard: Templates

Step 2: Click on “Add Data” on the top menu. In the available sources that appear on the screen, add your YouTube data via “YouTube Analytics” data connector. If required, allow Data studio to access your YouTube data.

YouTube Analytics Dashboard: YouTube Analytics

By clicking on the YouTube Analytics connector, it will show your channel(s). On selecting your channel, it shows all the available fields that hold your channel data. 

YouTube Analytics Dashboard: YouTube Analytics

Within a few seconds, your selected template will load with data from one of your Channels.

YouTube Analytics Dashboard: Selected Template

The above image is from one of my channels, there is not much data here, but it would suffice for our demo purpose. 

YouTube Analytics Dashboard: Demo

The default template shows your Views/Avg Watch Time/Shares on the top part and data about Likes/Subscriptions/Comments in the middle part. The bottom part shows some maps depicting the geographies (countries/states) from where your traffic primarily originates.

YouTube Analytics Dashboard: Add Chart

From the top menu, you can add a chart of your choice from “Add a Chart”. On the right-side panel, you can change properties, and customize your template. Many elements like Likes/Subscriptions/Comments can be customized. 

YouTube Analytics Dashboard: Add a Chart Drop down

Many new controls, data elements (dropdowns/sliders/date ranges/fields/metrics/data source/filters) and style elements (font/annotations/chart types/colors/layout) can be changed. You can add new pages to this report. Adding a new page allows you to add the data that will be used, the operations to apply, the graphs to display the analytical results. It just takes a few minutes to get your first YouTube Analytics data Dashboard in Google Data studio. 

Method 2: Youtube Analytics Dashboard Using Google Analytics Studio

While the default dashboard is good for beginners and small projects, often you will feel the need to create a dashboard for your specific needs. The real power of a Dashboard is its ability to customize and delve deeper into facts. In this section, you will set up a new dashboard with the help of available tools in Google Analytics Studio. 

You can track the traffic that’s coming to your YouTube channel on Google Analytics. If you have a lot of traffic on your YouTube channel, Google Analytics can show you some useful insights like from where your YouTube traffic is coming from, traffic tracking e.g. if someone is using your video, visiting your website or clicking an ad. 

Word of caution – Google Analytics will not tell you which particular video a user watched unless you add a UTM tag. 

Let’s see what are the steps to create YouTube Analytics Dashboard using Google Analytics:

Step 1: Inside Google Analytics Studio – click “Create” and specify an Account name.

Step 2: In the next screen, specify a “property name”.

YouTube Analytics Dashboard: Google Analytics

The property represents your business web and/or app data, in this case, “YouTube Data”. You can add up to 4 properties. Also, specify your Industry, Business size, Time Zone and Currency, etc.

YouTube Analytics Dashboard: Select your industry size

Google will assign a unique Tracking ID to this property, copy and save it somewhere. 

Step 3: Accept the licensing terms that follow.

Step 4: Create a filter that allows YouTube data only to your newly created view.

YouTube Analytics Dashboard: Click only YouTube Data

Copy your unique Tracking ID.

Step 5: Next, you can add Views and Property.

YouTube Analytics Dashboard: Add Views and Property

Step 6: Next, you will need to connect this with our YouTube data. 
Inside your YouTube settings, go to “View Additional Features”, then click on “Channel –> Advanced” and scroll down. Specify your “Google Analytics Tracking ID”.

YouTube Analytics Dashboard: Google Analytics Property Tracking ID

 Now, your YouTube data will migrate into Google Analytics. This data will be based on your channels (individual video stats will not be shown). It gives you an eagle-eye view of your YouTube activity. 

Step 7: Go back to your recently created property/filter in Google Analytics, and there you will see a minimal Dashboard.

YouTube Analytics Dashboard: Dashboard

Step 8: By clicking “Acquisition” in the left menu bar, you will know how users find your channel. It is useful when you try to find new ways to attract visitors and consolidate existing ones. 
“Behaviour –> Site Content –> All Pages”, shows you unified statistics, like Pageviews/Time on page/Bounce rate, etc. about all your channels. 

Here you can know your popular channels and how they are helping you achieve your goals. 


To conclude, you have learned about two ways to analyse your Youtube traffic, create YouTube Analytics dashboards and get useful insights for enhancing the effectiveness and fitness of your channel of use. But, if you want to consolidate your data in a data warehouse before creating a YouTube Analytics Dashboard, then try Hevo.

Visit our Website to Explore Hevo

Hevo is a No-code Data Pipeline. It supports pre-built integration from YouTube(among 40+ free sources ) or 100+ data sources at a reasonable price. Hevo will completely automate your data flow from YouTube Analytics in real-time.

Want to Take Hevo for a ride? Sign Up for a 14-day free trial and simplify your Data Integration process.

Share your experience of working with the YouTube Analytics dashboard in the comment section below.

Pratik Dwivedi
Freelance Technical Content Writer, Hevo Data

Pratik writes about various topics related to data industry who loves creating engaging content on topics like data analytics, machine learning, AI, big data, and business intelligence.

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