Google Data Studio is an excellent service that allows you to get data visualization and regular reports, avoiding the limits of 12 widgets in Google Analytics Dashboards. Among other benefits of using Data Studio we can mention: It’s free.
What is Google data studio and how does it work?
Google Data Studio offers a free online solution for connecting multiple data sources to create interactive dashboards and stylized professional reports leveraging a variety of visualizations including graphs and pie charts.
This of course begs the question “What is data studio and how does it work?”
Data Studio is a relative newcomer in the world of data visualization and reporting tools. It was created by Google in 2016. And it has been gaining a lot of traction ever since, especially among marketers and data analysts. Data Studio is completely free. There’s no paid version of it.
Is Google data studio easy to use?
Google Data Studio is a powerful data visualization and reporting tool that allows you to create beautiful dashboards with just a few clicks. The best part? It’s very easy to use! But learning it can be challenging if you’re just starting out.
Google Data Studio does not offer a free trial. See additional pricing details below. Here are some products we think might be a good fit based on what people like you viewed. Learn more about pricing Google Data Studio is available for free. Features are displayed in alphabetical order.
Google Data Studio is available for free. Features are displayed in alphabetical order. Best For: Our clients are diverse and include all sizes, industries, and geographies. The one thing they share is their commitment to excellence and valuable insights from their data.
Google data studio whats new?
That’s why we decided to liberate a fairly new feature of Google data studio, community visualizations and components, which is right now in developer preview mode to create a simple component that allows us to choose any Google font. And style it however we want using inline CSS. This is Ahmad from measureschool.
Planning is essential to everything. Before you create a dashboard in Google Data Studio, you should prepare your dataset and the dashboard layout. This includes deciding which metrics are important for your report or dashboard so that they can be displayed as columns, rows, or charts.
So, what’s new in data studio for Google Analytics?
One article claimed that You can now use Google Analytics 4 (GA4) to gain insights about your Data Studio reports. With Google Analytics 4 you can get automated insights and utilize Analytics’ flexible Explorations feature to dig deeper into your data., and learn more. We’ve added a Country subdivsion (2nd level) field to the available Geo data types.
What’s new in Data Studio. Request new features or upvote existing feature requests here. You can now visualize up to 100 dimensions and 100 metrics for tables based on “flexible schema” data sources, such as Sheets or Big, and query.
You can now use Data Studio to see your Google Surveys performance. The Surveys connector lets you visualize your survey questions and responses, filter by demographics such as Age, Gender, and Country, and include response weight metrics.
Can I use Google data studio instead of Google Analytics?
So instead of using the slopping reporting function inside Google Analytics, you can make use of the power offered by Google Data Studio. It can make simple, but sophisticated table-based data using columns (or calculated columns), to present your data in many ways.
Well, when it comes to the Google data sources, Sheets, Analytics, Ads etc, Data Studio doesn’t store any of the source data by default. The data sources are queried where they are via their APIs. The only data that Data Studio does store are the results of queries.
How can I use Google data studio to measure marketing performance?
Since you’re able to connect a variety of data sources to Google Data Studio, you can also use it to measure marketing performance in Google Ads, Facebook Ads, or any platform you use for online advertising.