A Guide To Google Data Studio For Better Reporting? (TOP 5 Tips)

How to Use Google Data Studio to Improve Your Data

  1. Choose a Google Data Studio Report Template.
  2. Add Data Sources to Google Data Studio.
  3. Customize the Report Visualization.
  4. Share Your Google Data Studio Report.
  5. Create a Custom Template.
  6. Schedule a Report to Send.
  7. Modify the Date Range.
  8. Add Different Filters.

How can I improve my Google Data Studio performance?

How to Speed Up Google Data Studio Reports

  1. Reduce the Number of Charts on Each Page. Data Studio works by querying the data source you’re using.
  2. Tweak Data Freshness.
  3. Keep Data Processing Outside of Data Studio.
  4. Clear Your Clipboard.
  5. Minimise the use of Segments.

What is the best way to use Data Studio?

Exploring Google Data Studio best practices

  1. Set your goals and identify your target audience.
  2. Using templates in Google Data Studio reports.
  3. Connecting to multiple sources in Google Data Studio.
  4. Selecting date ranges for Google Data Studio reports.
  5. Adding data control to Google Data Studio dashboards.

How do I create a report in Data Studio Google?

Create a new blank report

  1. Sign in to Data Studio.
  2. In the top left, click. Create, then select Report.
  3. You’ll see the report editor tool, with the Add data to report panel open.
  4. A table appears with fields from that data source.
  5. In the top left, name your report by clicking Untitled Report.

Is Google Data Studio easy?

Data Studio is a free tool that turns your data into informative, easy to read, easy to share, and fully customizable dashboards and reports.

Why is my Google Data Studio so slow?

Slow load times are typically a symptom of Data Studio fetching a large volume of data directly from the original data source. Google’s Extract Data connector lets you extract and store data from the source before using your reports so you get the freshest data without slow load times.

Why is Data Studio slow?

Cardinality – viewing your data by Date, Traffic Source, Market and Campaign compared to say Traffic Source and Market only will mean both Funnel and Data Studio will have to process a lot more data. So, basically removing dimensions that aren’t absolutely crucial can have good impacts on performance.

Is Google Data Studio any good?

Overall Google Data Studio is a fantastic tool for anyone who wants to get started in BI or who simply wants to go beyond excel and produce automated interactive reports. The interface is very easy to navigate around and the workflow is kept as simple as possible.

How do you create a data report?

How to Write a Data Report

  1. Define The Type Of Your Data Report.
  2. Know Your Target Audience.
  3. Have A Detailed Plan And Select Your KPIs.
  4. Be Objective, When Possible.
  5. Be Visually Stunning.
  6. Have Content Sharply Written.
  7. Make Sure the Report Is Actionable.
  8. Keep It Simple And Don’t Be Misleading.

Is Google Data Studio part of G suite?

Google’s Data Studio in G-Suite helps to make information more broadly available, so everyone in your enterprise can understand what’s happening to your business, and where it’s headed.

Is Datastudio free?

At the moment, Google Data Studio is offered completely free by Google as part of their Google Cloud Platform offering.

How do you create a dashboard report?

How to design and build a great dashboard

  1. Be clear about what you’re trying to achieve.
  2. Include only the most important content.
  3. Use size and position to show hierarchy.
  4. Give your numbers context.
  5. Group your related metrics.
  6. Be consistent.
  7. Use clear labels your audience will understand.
  8. Round your numbers.

How do you create a chart in a data studio?

Learn more about bar charts.

  1. Following the steps in How to add a chart above, add a Bar Chart to the report.
  2. Select the DATA tab.
  3. Click the Source dimension to display the Dimension Picker, then change the dimension to Browser.
  4. Click the return arrow:
  5. Click the Sessions metric and change it to Users.

What language does Google Data Studio use?

What is Google Data Studio? Google Data Studio (GDS) [1] is a free, easy-to-use platform for describing your data visually. It has many advantages and benefits over writing Python code directly or exercising your Tableau license.

Is Data Studio secure?

Data Studio uses Google’s authentication protocol and data security. It isn’t possible to restrict the data based on the row and column level security at the moment as OBIEE/ Tableau does its job in robust way. Google Data Studio has responsive design and adjusts automatically.

Quick start guide – Data Studio Help

Learn the foundations of using Data Studio and how to get started. This article outlines six essential steps that will assist you in getting started with Data Studio as fast as possible. Glossary links are located throughout this Help Center and give further information on chosen terms. Hover your cursor over the link to see a brief overview, or click the link to see the whole definition. At the conclusion of this article, you’ll find a table that summarizes the terminology that have been used.

The procedure provided here is only a rudimentary illustration.

Start with a report

Data visualization, insight generation, and sharing are all made possible through reports and dashboards.


You’ll see the home page of Data Studio with the Reports option chosen as soon as you sign into the program. All of the reports to which you have access are shown in the centre of the display screen. The addition buttons allow you to build a new blank report or start with a pre-built report template by selecting them from the drop-down menu.

Create a report

You’ll see the home page of Data Studio with the Reports option chosen as soon as you sign into the software. Everything that you have access to is shown in the centre of your screen. The addition buttons allow you to build a new blank report or start with a pre-built report template by selecting one of the options on the right.

Add data to the report

Managing connections to your data and configuring the fields you may utilize in your report are both made easier using data sources. As soon as you begin working on a new report, theAdd data to reportpanel will appear. This allows you to eitherA) add an existing data source orB) establish a new data source in the database.

A) Connect to sample Analytics data

  1. In the Add data to reportpanel, select My data sources from the drop-down menu. Choose the Google Analytics Datadata source from the drop-down menu. Add is located in the bottom right of the screen. The data source has been included in your report. In that case, a table with fields from the data source is shown. The properties panel on the right may be used to modify the data and appearance of the table. To rename your report, go to the top left and choose Untitled Report, then type in a new title.

B) Connect to your data

  1. Select My data sources from the Add data to reportpanel
  2. Choose the Google Analytics Datasource from the drop-down menu. Select Add from the drop-down menu in the bottom right. Your report now includes the data source
  3. A table with fields from that data source is shown on the screen. The properties panel on the right may be used to adjust the data and design of the table. Untitled Reportcan be renamed by selecting it in the upper left of the screen and typing in a new name

Add charts and controls to the report

Components may be added to the report canvas using the menus and toolbar. The data and style choices for the chosen items may be configured in theproperties panelon the right side of the screen.


  1. Insert a chart by clicking on it in the toolbar at the top of the editor, or choose one from the toolbar at the bottom. Select one of the available charts from the drop-down menu. You can move and resize the chart as you see fit. Dimensions and metrics can be added or changed by selecting the appropriate fields in the properties panel, or by dragging and dropping them from the Available Fields panel (which appears to the right of the properties panel).

View your report

Examine your report from the perspective of other viewers.


View mode allows users to see all of the data and engage with any interactive controls that have been added to the report, but they are unable to modify the structure of the report.

Switch between view and edit modes

  1. VIEW may be found in the upper right corner. You have now entered the viewing mode. To return to edit mode, select EDIT from the drop-down menu.

Share the report

Reports can be shared with other viewers. Collaborate with other editors on your project.


Editors must be logged into Google in order to make changes to the report, but readers do not need to be logged in.

Share a report

  1. Specify the individuals and/or groups with whom you wish to share your report by clicking in the top right corner. Individual addresses can have their access to the report restricted or restricted using the advanced settings.

Sharing a report does not imply sharing the report’s data source. The data source credentials determine whether or not a reader will be able to see the data contained in your report. The fields from that data source may still be used in charts if you share the report with others and provide them edit access to the report. This is true even if the data source itself has not been shared with them.

Share the data source

Provide your data source so that others can construct their own reports based on it.


If you merely want other individuals to be able to read or update your reports, there is no need to share a data source with them.

For a data source to be made available for sharing, you must first access it directly from the DATA SOURCES home page (not via the report). To access or update a data source, you must be logged into your Google account.

Share a data source

  1. Return to the Data Studio HOME page by selecting the Data Studio logo in the upper left corner of your report
  2. On the left-hand side, choose DATA SOURCES. Discover where you may find the data source you selected in step 2
  3. More may be seen on the right-hand side of the screen. ClickShare
  4. Specify the individuals and/or groups with whom you would like to share your data source information. Individual addressees can access the data source in a variety of ways if you use the advanced settings.

When sharing a data source with edit access, proceed with caution. In spite of the fact that sharing does not allow access to the data itself, altering a data source may lead it to become incompatible with current charts which rely on that data source. People can write reports without having the ability to modify the structure of a data source when it is shared with view access.

Key concepts

A quick review of the words and topics discussed in this article and across the Help Center is provided below.

Concept What it does
Report A Data Studio file that contains a collection ofcomponentswhose purpose is to present to viewers information and insights derived from your data.Learn moreabout reports.
Component A widget you add to a report to display your data, such ascharts,tables, and interactivedate range controlsandfilter controls. Data components get their information from adata source.You can also annotate your report withtext,shape,image, andembedded contentcomponents.
Connector / Data source Connecting to your data involves two components that work together:
  • Connectors are used to link Data Studio to the underlying data. When you connect to your data, a data source is created in Data Studio. Connectors are represented by data sources, which may be anything from a connection to a single Google Analytics property or view to a MySQL database and Google Sheet to name a few examples. Data sources allow you to customize the fields and parameters that are offered by the connector that was used to construct the connection instance that you are working with. As an added benefit, the data source provides a safe and secure mechanism to communicate information and insights with report readers who may not be able to gain direct access to the underlying data.
Learn more aboutconnecting to your data.
Field A column of data.There are 2 basic kinds of fields in Data Studio:
  • Objects you wish to measure or things that function as categories for your data are referred to as dimensions. Metrics are numerical representations of the objects included inside dimensions
Learn more aboutfields in reports.
Credentials The mechanism by which a data source determines who can see the data it provides. There are 2 credential options:
  • Owner’s credentials are used to approve access to the underlying data by utilizing the credentials of the data source owner. When this option is selected, viewers will be able to see the data from this data source without needing their own personal access to the data
  • It is required that anybody seeking to read the information supplied by this data source has access to the information themselves
  • Otherwise, the data will not be displayed.
Learn more aboutdata source credentials.
View mode / Edit mode
  • Edit mode enables you to make changes to the report’s structure, as well as to add, delete, and relocate data sources, as well as to use interactive controls.
  • Editors are those who have the ability to make changes to a report or data source.
  • View mode enables you to see all of the data that you have been granted access to, as well as to interact with it. View mode does not enable you to make any changes to the report’s layout.
  • Individuals who have merely the ability to examine a report or data source are referred to as viewers.
Sharing and file access When you share reports and data sources, you determine how other people can access the file:
  • Can editaccess allows anyone to make changes to the file (thus creating themeditors)
  • Can viewaccess allows individuals to see a file but not edit it (hence allowing them to be referred to as watchers)
The advanced sharing options let you control other aspects of file access, such as the ability to download the data or print the report.The link sharing options let you share your files more broadly around the internet.Learn moreabout sharing.

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The Beginner’s Guide to Google Data Studio

Reporting never appears to be a simple or straightforward activity. In fact, most marketers wince even at the notion of having to deal with it. As the number of clients continues to expand, the sophistication of their reporting requirements grows as well. If you’re anything like me, you’re probably bored of spending several hours each month updating the same spreadsheets over and over again. It is possible that more effort is spent creating a report than is spent generating genuine insights. When this occurs, we are doing a disservice to our customer by devoting more time to “doing” and less time to evaluating the situation.

This is where Google Data Studio reporting comes in.

What Is Google Data Studio?

Google Data Studio is a free data visualization tool that was first released in beta in the middle of 2016. Google Data Studio consolidates all of your data sources into a single reporting environment. Create useful and visually appealing dashboards that are simple to comprehend, share, and adjust is made possible with this tool. Since 2018, Google Data Studio has been released from beta, allowing anybody to take advantage of its immersive features. Advertisement Continue reading farther down this page.

Top Benefits of Google Data Studio

The following are some of the most significant advantages of the Google Data Studio platform:

  • It is completely free to use. (I mean, how can you compete with that?)
  • Connect to (nearly) any data source with this tool. (Consider Google, Bing, Facebook, LinkedIn, and other such sites.)
  • When linking properties outside of Google, there is a caveat that necessitates the use of a third-party connector. Typically, there are monthly expenses associated with these (but well worth the cost). As a point of comparison, we use Supermetrics to draw in data from various platforms.
  • Fully customisable – the flexibility to tailor reports to meet the specific requirements of each customer
  • Consistent and true to the brand
  • Real-time data integration is essential. Each month, you save time by not having to pull reports, allowing you to spend more time on actionable insights.

Have I persuaded you to give Google Data Studio a go right now? Great! Let’s get down to business with the basics.

Getting Started With Google Data Studio

There are a few critical things to consider in order to guarantee that your first Google Data Studio report is a complete success. These are some examples:

  • Choosing a template
  • Connecting data sources
  • Determining which metrics are important
  • And Providing reports to one another


The first step is to select a template for your project. Advertisement Continue reading farther down this page. When you first start using Google Data Studio, you may choose from a selection of themes. If you are new to Data Studio, it is critical that you select a template that is appropriate for the type of data being shown. Any template gives you the opportunity to alter elements and typefaces in order to generate a more uniform report. The beauty of these reports is that they may have several pages added to them.

I prefer to begin with a completely blank report.

Every customer has a particular set of requirements, and their reporting should reflect this.

As an agency, we’ve discovered that creating templates that are particular to SEO, PPC, and paid social is the most effective method. With them as a starting point, we can readily customize them to meet the specific demands of each customer.

Adding Data Sources

The ability to connect data sources is essential for a successful report development! In Google Data Studio, there are a plethora of connections to choose from. By utilizing connections, it eliminates the need for manual operations and automatically syncs all data! Advertisement Read on for more information. Below You have the option of including data sources at the start of your report construction or later in the process. Clicking on “Add Data” on the toolbar will bring up a list with them.

The only disadvantages of third-party connections that I’ve discovered are as follows:

  • An additional fee
  • The ability to slow down reporting
  • Due to the fact that metrics might become out of date at any time, it is critical to remain on top of any changes to your report and rebuild metrics as needed.

Choosing Metrics That Matter

When it comes to metrics, they are important. Advertisement Continue reading farther down this page. If we’re being honest, the worst scenario is when clients view reports and are presented with a total data dump. While Google Data Studio allows for total customization, this does not imply that we should display all of the metrics accessible to us. Is it important to your client to have a positive return on investment? Consider include KPIs such as expenditure and income. Is there any information on general brand awareness?

By communicating the appropriate measurements and insights based on goals, you demonstrate to the customer that you are paying attention to their needs.

Sharing Reports

When you’re ready to share reports with clients, make sure to double-check your configurations. The following alternatives are available for distributing information:

  • Users must have a Google account connected with their email address in order to be invited.

An additional great feature that Google implemented once the platform was no longer in beta was the ability to restrict sharing in the following areas: Advertisement Continue reading farther down this page.

  • Editors should be prevented from modifying access and adding new users. Viewers’ ability to download, print, and copy will be disabled.

As an advertising firm, we usually click those options. In this way, we can keep control over the report settings while also ensuring the integrity of any modifications to reports.

How to BuildEdit a Report

Having studied the fundamentals, it’s time to put your knowledge to use and create your first report! When creating a dashboard, you have the option to specify the time frame for each dashboard either individually or at the report level. We’ll go into more detail about this later. Advertisement Continue reading farther down this page.

Choosing Proper Visuals

In order to begin, you must first choose whatever data visualizations you wish to employ. By selecting “Insert” from the toolbar, you will be able to pick from a large number of options. These include, but are not limited to, the following: Let us have a look at this Google Ads template. I’ve categorized the four parts below so that you can understand what they are and how to utilize them more clearly. The scorecard is the first step. Each row of this data depicts one single statistic extracted from a data source.

Advertisement Read on for more information. Below Depending on the source, you will have a variety of alternatives to pick from. In this particular instance, the template displays three separate scorecard measures, including:

The scorecard measures listed above also contain comparative changes, which you may choose to include or remove. Once again, customisation is key! 2. Time SeriesThis graphic depicts the change in the number of clicks and click-through rates over a specified period of time.3. TableThis is a standard representation that is used in reporting dashboards. Tables allow you to drill down to campaigns, ad groups, and other relevant data, as well as adjust the metrics that are displayed inside the table.4.

With all of these capabilities, you have the opportunity to personalize the overall look and feel of the report.

Editing Data Formats

It is a game changer for customers to have the opportunity to customize the appearance and feel of a report. It helps to create a feeling of uniformity throughout a company. To make changes to the format and appearance of a visualization, first choose the chart (or scorecard, table, or other visualization type). The Google Data Studio editing window is located on the right side of the screen. In this example, I’ve picked the “Avg. CPC” scoring from the available options. On the right, the “Style” option has been selected.

Here are a few examples of how you may customize this scorecard:

  • Font and background color are also included. Changing the color of the comparative metric
  • Text padding can be used to align text to the left, center, or right.

Pro tip: If you want to make changes to all of your scorecards at the same time, pick them all at the same time. The adjustments in style will be applied to all of the options. Another time-saving feature!

Adding Report Filters

Adding report and page filters to several visualizations is a simple and effective method to organize them together. In order to have all tables and charts alter when the date range is changed, you might add a Date Range icon and set its value to “Report Level.” This implies that if the report is divided into numerous pages, every time the date range is changed, all graphic data changes simultaneously. For those interested in the performance of Device Types, there is a filter available for that!

What about categorizing data by network type, such as search, display, or YouTube, for example?

You’re right — there’s a filter for that as well.

Example Use Cases

You’ve now seen the platform in action, as well as how to customize each visualization to meet the demands of the report. Let’s have a look at a few examples of typical dashboard applications.

Website Traffic Overview

A Traffic Overview page is a standard dashboard that clients use to keep track of their traffic. Whatever you do with them, whether you just operate in the PPC or SEO arena, it’s critical to maintain a high-level perspective of website health.

The ability to monitor website traffic at a high level might reveal new information that you may not have previously seen or considered. The dashboard in the following example was designed using a variety of graphic components. This aids in the communication of the following points:

  • The overall volume of traffic has increased or decreased. Conversions are growing upward
  • User behavior is moving downward (time spent on site, etc.)
  • Traffic and conversions are broken down by device type.

When it comes to narrative, simple images may go a long way. Advertisement Continue reading farther down this page.

PPC Campaign Performance

At a high level, this Google Ads template effectively shows the most important aspects of the client’s business.

Search Terms Report

When working with clients, we like delving deep into their user behavior. A search term report can be displayed to them as a means of sharing this information with them. It has been beneficial for clients to learn how a user searches in order to activate advertisements. Advertisement Continue reading farther down this page. It may also aid in the identification of any possible gaps in message, product promotion, and other areas. Creating a customized report is a time-consuming endeavor. Although the initial set-up might be time-consuming, the ultimate product is definitely worth the time and trouble.

Get Started with Google Data Studio Now

Hopefully, this introduction to Google Data Studio has given you more confidence in your ability to create customized reports for your clients and businesses. Advertisement Continue reading below for more information.

  • 12 Data Studio Visualizations for Paid Search Marketers That You Should Know
  • Instructions on how to create Google Data Studio speed dashboards. Using Google Data Studio, learn how to take your Search Console to the next level.

Credits for the image All images were taken by the author in August 2020.

Beginner’s Guide to Google Data Studio – Conversion Lift

There’s an unspoken reality about marketing that no one really truly talks you about until after you’ve gotten your hands on it. It is the fact that spreadsheets, dashboards, and reports will be used extensively in many of the day-to-day duties. If you want to be more specific – and this is especially true if you work for a small firm or an agency – you will really be spending a significant amount of your time creating these documents. You name it: Excel spreadsheets, PowerPoint presentations, and so on.

  • In a nutshell, it is time-consuming.
  • And if you’re reading this, it’s likely that you’re already aware of this.
  • Google Data Studio is the solution to this problem.
  • Let’s get this party started.

What is Google Data Studio?

It is simple to connect and retrieve data from many data sources using Google Data Studio, which allows you to create reports and dashboards that are both visually appealing and easy to comprehend. Because of its simple drag-and-drop interface, you can create reports in a matter of minutes without requiring any technical expertise. The following are a few of the reasons why you, as a marketer or business owner, should be utilizing Google Data Studio. Reporting on several channels: Data may be pulled from a variety of sources, including Google Analytics, Google Sheets, Facebook Ads, and others.

The reports are interactive, allowing users to interact with them and edit information in real time, allowing for a more accurate visualization of data.

What’s the finest part about it all? It’s completely free! For the most part, this is true. The following tutorial will show you how to quickly and simply construct your own Google Data Studio report for your PPC ads in less than a minute.

How Does it Work?

In order for Google Data Studio to function, your report must be connected to various data sources, which will then allow you to show data in interactive dashboards. The process of connecting to your data is comprised of two distinct components that work in tandem.

  • Connectors: A connector is the link that connects Google Data Studio to the platforms that you use. Google then generates a data source in Data Studio after the connection has been established
  • Databases: A database is the outcome of a connection between two servers. Consider the example of a link to a Facebook Ads account. Data sources allow you to access the dimensions and metrics associated with that account that have been made available by the connection.

A connector is a link that connects goods or platforms to data sources and vice versa. In other words, connectors allow Google to acquire data from a variety of products and platforms and convert it into data sources that Data Studio can then use to populate the dashboard with relevant information. Now that we have a better understanding of how Data Studio works, let’s get to work on creating our first Google Data Studio report.

Creating Your Report

Following your initial login to Google Data Studio, you will have the option of beginning from scratch or using one of Google’s pre-built templates. If you haven’t worked with Google Data Studio before, we recommend starting with a template so that you can get a feel for how it works before you start creating your own. We’re utilizing the Acme Marketing template in this post Once you’ve decided on a template, click on ‘Use Template’ and then on ‘Copy Report’ to begin creating your report. You now have access to the data that will form the basis of your Google Data Studio interface.

With Google Data Studio, you can create automated reports that pull data from a variety of different platforms/channels – even if those platforms/channels are not owned by Google.

You will need to build a data source and link it to Data Studio in order to accomplish this.

Creating Your Data Sources

It is the first stage in creating a Data Studio report that is most difficult to do for free – and this is where things may get a little complicated. Given that Google Data Studio is a Google product, connecting it to a Google Ads account will not result in any additional fees. You will, however, require a different sort of connection if you want to link Data Studio to a Facebook Ads account, as explained here. There are three distinct types of connections available on the market.

  • Data from Google Analytics, Google Ads, Google Sheets, and other Google products may be accessed using Google Connectors, which are designed by the search engine giant and are available for free. All of these connections are completely free. Developed by Data Studio developer partners, partner connectors allow you to access data held on non-Google platforms such as Facebook, Twitter, Reddit, and other social media sites. Some (or the most) of these are compensated. Community Connectors: These are structures that are constructed by members of the general public — you can even construct your own. We will not go into depth about them in this piece.

Utilize one of these connections to establish a data source, and then link Data Studio to the account that you want to use it with. Here’s how you can go about doing that. Once you’ve reached the dashboard section, select “Resources” from the drop-down menu and then “Manage additional data sources.” Choose your data sources carefully. Then select “Add a Data Source” from the drop-down menu. Include a data source. Finally, select the connection of your choice and follow the on-screen instructions that are offered.

It shouldn’t take more than a few minutes to complete the task.

Dimensions and measurements will be discussed in greater detail later. Simply select “completed” from the drop-down menu. All dimensions (in green) and metrics (in blue) should be reviewed before clicking “Finish.”

Partner Connectors

“What if I want to connect my dashboard to a Facebook Ads account instead?” you might think before reading any further in this article. Using the Google Connector, we were able to construct a data source from Google Analytics in the previous example. If you wanted to link your dashboard to a Facebook Ads account, you would need to utilize a partner connector, which is not available by default. SuperMetrics is our top recommendation since it is the most powerful connector available and contains interfaces with practically every platform you could possibly require.

SuperMetrics is a premium connector that allows you to construct data sources from the vast majority of advertising networks currently accessible on the market.

Choose the connection that you want to use.

Navigating Google Data Studio

Google Data Studio makes it extremely simple to create interactive dashboards that provide real-time information on business performance. Having built your data source, you can pick from a variety of various methods for structuring and presenting the information you’ve collected.

  • Create interactive maps to provide information about certain nations or areas
  • Build time-series charts to depict growth over a period of time
  • Scorecards are used to track and report on individual metrics. Including text sections allows you to write remarks and offer more information to clients or team members about the data.

Creating Charts, Tables, MapsMore

Select ‘Insert’ from the top menu bar to begin creating a chart or any other type of visualization element. Once the drop-down menu appears, you may choose from a diverse selection of charts, tables, maps, and other visual representations. Choose the type of chart you want to use and the location in which you want it to appear. This is an example of a time series chart. To make changes to the data in the chart, simply click on the chart and the console will appear on the right-hand side of the display.

As you’ve probably guessed by now, you’ll pick the data source that was mentioned at the beginning of this piece in the data source area at the top.

DimensionsMetrics in Your Data Source

Before you can use dimensions and metrics to present the information you want in a report, you must first understand how they function. Measurements “describe or categorize your data,” according to the search engine giant. Country, campaign name, and date are all examples of what is meant by “dimensions.” Metrics, on the other hand, are used to measure your dimensions. “Countries” would be your dimensions, and “Sessions” would be your metric if you wanted to display the number of sessions that were recorded in the United States of America.

Depending on the chart you choose, you may be able to include more than one measure per dimension.

Customizing DimensionsMetrics

One of the most powerful aspects of Google Data Studio is the ability to edit and personalize the data that you extract from various data sources and save in your account.

As marketers, this is particularly important when we need to report on metrics like as conversion rates, client acquisition expenses, or the average purchase value, among other things. This is a really simple process.

  1. Click on ‘Add Metric’
  2. Then click on ‘New Field’
  3. Then click on ‘Save’. Enter the formula for your metric and click ‘Apply.’

You may design whatever measure you desire by using simple calculation methods.

FiltersDate Range Controls

It has already been demonstrated that Google Data Studio can be used to build extremely comprehensive data visualizations. However, in addition to all of this, Google Data Studio provides users with the ability to manage the data and pick particular subsets of data. For example, you might provide a filter feature that allows users to see only the statistics for a given nation while viewing the data. To construct a filter, select ‘Insert’ from the top menu once more, and then select ‘Filter Control’ from the bottom menu.

These criteria have an impact on the whole report.

We won’t go into great detail about filters because there’s so much to say about them that it’s likely they’ll get their own post dedicated to them.

Sharing Your Report

Everything is about completed with the report! The document may always be enhanced by the addition of more tables, charts, and other features in order to make it more informative and comprehensive. That is all up to you. Once you’ve completed writing the report, you’ll need to distribute it to. well, anybody you want to distribute it to! To do so, simply click on the ‘Share’ button in the top right corner of the screen and select your preferred method of distribution. Distribute your report to the rest of your team.

Closing Thoughts

For us, Google Data Studio is one of the most useful tools in our toolbox, and it should be for the majority of marketers out there as well. It goes without saying that there are several dashboard and reporting systems available – some designed for more complex requirements, others with additional benefits for agencies, and some designed specifically for small firms. However, because to its simplicity of use, low cost, and intuitive features, Google Data Studio is our preferred choice for the majority of our requirements.

The good news is that there are some – in fact, lots – more complex capabilities available that will allow you to unleash its full potential and create amazing dashboards that will impress your clients, employer, or anyone else who happens to view them.

Let us know what you think in the comments section below and let’s speak!

Google Data Studio Complete Guide 2021

We have already started the process of digital transformation. Keeping abreast of new technologies and technological breakthroughs is critical for the success of any firm and may aid in the identification of new issues. Furthermore, obtaining data from reliable sources that is valuable and can assist you in making sound business decisions is essential. However, sifting through a slew of information in black and white may be tedious and frustrating in the long run. This is the moment at which you begin to wonder whether there is any way you might make the entire data set in front of you a bit more appealing and fascinating.

Not only that, but it is also critical to apply the appropriate analytics tools in order to gain the most comprehensive knowledge of the datasets, which can then be applied to enhance a company’s operations when necessary.

This is precisely where Google Data Studio comes in and takes care of the work for you.

What is Google Data Studio?

Google data studio assists you in transforming your tedious data into useful, readable, and shareable reports, and you have total control over the appearance and functionality of your reports and dashboards. In addition, you may make them more interactive by employing a variety of tools, such as data range controls and viewer filters, to enhance their interactivity. Source:Medium Known as Google Data Studio, it is a free data visualization tool made available to consumers by Google. A service that allows consumers to make reports that are both interactive and aesthetically appealing is provided by this company.

You can quickly import all of the data from multiple sources, including third-party connections, and show it in the form of tables, charts, and diagrams.

Gogle Data Studio Pricing Plans

Data Studio is available in two versions: a premium version and a free version. You may quickly share the reports that you make with a variety of individuals while using the free version. And they may only make adjustments if they have been given authorization to do so. Additionally, you will be able to notice the changes as they occur. Furthermore, you may duplicate a full report and then edit it to include the necessary information. There is also a gallery where you may access ready-made templates of the reports, and you can use any of the templates that are available to you.

However, the majority of the services listed above are completely free to use, and they include simple sharing and reporting.

The capabilities of Data Studio may be used by the user to track key performance indicators (KPIs), analyze trends, and evaluate performance over a specified period of time.

Benefits of using Google Data Studio

There are several advantages to working with Google Data Studio. If we pay attention to the free features, we will discover that they may also assist us in obtaining a slew of advantages and are compelling enough to persuade us to purchase the premium version of the application.

Import Data from different data sources

Google data studio has several notable advantages, the most notable of which is the fact that you can access over 200 data sources, including Bigquery, a data warehouse that is hosted in the cloud, and import your data with relative ease. There would be very few tools like this available, and the ones that are available would expect you to do a wide range of tasks. The purchase of various packages as well as subscriptions to various software and tools for data importation are examples of such measures to take.

As far as Google Data Studio is concerned, this is definitely not the case. In contrast to solutions such as BigQuery, you may also utilize third-party connectors to incorporate data from other sources, which may incur additional expenses.

It has a live data connection

This eliminates the need for you to arrange ongoing data updates for your reports by connecting to over 200 sources in real time. Live data connection removes the restriction of being able to go back in time just to a specific date range. It gives you the freedom to go back as far as you want and to see a specific set of values that are important for making business decisions.

Complete customization control

Google data studio gives you complete control over the customisation of your material, allowing you to incorporate a variety of beneficial features into your content. This may involve the addition of more pages, charts such as a bar chart, and even tables. You may also personalize the dashboard in any manner you like, which includes changing the colors of the dashboard. In addition to the pre-existing themes that are available, you may also develop your own custom-based theme that includes anything you like.

More customization options include the ability to alter layouts, page widths, and alignment, amongst other things.

In addition, there are choices for conditional formatting, which allows you to quickly display the targets and goals that have been met and attained by the organization.

It provides dynamic controls

Google data Studio users consider this to be one of the most vital and well-liked features of the program. The dynamic controls allow you to slice and dice through the data without having to reload the report on your computer. Because of the inclusion of dynamic controls, users will have an easier time navigating through the full material using date range pickers. You can also add and remove stuff from the page, and you may do it as many times as you like without having to erase and re-enter all of the information.

Optional Metrics

Optional metrics are features that the user may utilize to simply personalize the report without having to change the original content of the report.

Custom Bookmarks

It’s possible that you’ll be utilizing the report frequently and will want to preserve your modifications. This is where the custom bookmark feature comes in helpful, allowing you to accomplish your goals without encountering any difficulties.

It has the option of advanced formulas

This advantage of Google Data Studio distinguishes it from all other data visualization tools available on the market at the moment. When you transform your databases into interactive dashboards, you can more effectively contact your customers and build a fruitful relationship with them by responding to their requests and demands on time. Calculated fields are included in advanced formulae. Formulas, metrics, and dimensions may be created in Google Data Studio utilizing existing data acquired from a data source by using calculated fields, which can be adjusted to your needs.

The usage of computed fields in case statements is a famous example of how they may be put to use.

CASE statements are most commonly used to construct new data groups, and they also allow you to build new fields by applying conditional logic in your programming.

There may be a variety of data visualization tools available, but not all of them are free and do not provide such astonishing techniques even in the lite edition of the software.

Situations where one can use Google Data Studio

Assuming you now understand what Google Data Studio is all about and how it can be used for creating interactive dashboards for clients, keeping track of the insights received from a particular data source, and finding better solutions to improve business metrics, let’s take a look at some of the different situations in which Google Data Studio can be put to use in the future.

Have a look at the website traffic.

It is typical to use Data Studio to monitor website traffic, and this is one of the most popular reports that may be generated. Every business must ensure that their professional website receives the highest possible volume of visitors at all times in order to be successful. The website traffic may be utilized to boost conversion rates, as well as to identify current trends and the preferences of your target audience, allowing you to make more informed decisions about your business. The website traffic summary can be beneficial to marketers that are attempting to generate traffic using SEO tactics, Google Ads, or Pay per click campaigns, among other methods.

The device being used, the conversion rates, and even the behavior of the users are all taken into consideration.

If this does not work, they will look for fresh and proven strategies to increase the amount of traffic to the website.

Digital marketing

A variety of Google tools are available to assist with digital marketing. Whether we’re talking about Google Ads, Google Analytics, Google Search Console, or any other service, Google is continually looking for ways to make its users’ lives easier through its services. The addition of Google Data Studio to the list can only be considered a positive addition to the list. Digital marketing encompasses a wide range of activities, including social media platforms such as Facebook and Twitter, as well as advertisements.

It also comprises web construction and maintenance, as well as the placement of Google advertisements, to guarantee that the brand’s message is received by the client.

Using Google Data Studio to gain a better understanding of how a company operates should be a regular activity for all employees.

It may also assist in better understanding the clients’ media in order to execute a more successful advertising campaign.

Pay per click campaigns performance

The Google Data Studio is capable of comprehending the data received from multiple data sources and determining how it might be interpreted in order to better organize future project activities.

Super Metrics is the source of this information. helping the clients recognize which products need to be emphasized even more

Creating Search Terms Report

It is necessary to employ analytics to better understand the behavior of users and to observe the changes that have occurred in various areas. The search term report is the most efficient method of accomplishing this. There are several advantages to using the search phrase report. It assists a client in understanding the behavior of individuals in response to advertisements, as well as identifying and addressing any gaps that may exist. Although creating a search term report takes a significant amount of work, the results are worthwhile and instructive.

Creating a custom report might assist you in customizing your dashboard and adding an additional page to it.

SEO reporting

This tool is convenient, and it may also be used to get more information and insights. Using a template that has already been created, you may save time by analyzing the situations where each solution might be used at a different level. Providing this type of information is useful. Increased Visibility is the source of this information. You may also split down the Google search console questions into brand and nonbrand searches and closely monitor the brand’s working with your teams as a result of your efforts.

  • Furthermore, you can utilize this tool to swiftly assess the numerous data channels in a matter of seconds with no additional effort.
  • Also, pay close attention to the web design to guarantee that it is up to date, as well as SEO strategies, to ensure that it is successful.
  • You can obtain information from any of your preferred platforms.
  • However, because supermetrics is a connection, it will undoubtedly charge you for the privilege of using it.

Steps to create a Report

Once we’ve established a common understanding of what Data Studio is and the advantages of utilizing analytics Google Ads, let’s go on to learning how it can be utilized to build a report.

Login In and Selecting a Template

The first step is to connect into your Google account and choose a template that is appropriate for your situation. There are several built-in templates available, but you may also develop your own for your specific datasets. Remember to log in using the same username and password that you’ve been using for analytics and other cloud services in the past. If you use any other email address, you will be required to use that email address on all of the other platforms in order to ensure that you can quickly access all of the data available.

It looks like this when you first connect into your account: Data driven Labs is the source of this information.

No matter whatever template you choose, you have complete control over how the different components of the template are customized.

It consists of the typefaces as well as the other report parts. Because each organization has a unique set of requirements, each company’s reporting must be tailored to meet those requirements. You may also construct reports that are unique to analytics, PPC, and social media.

Adding your Data Sources

It is necessary to integrate your data source into the program before you can begin to use it effectively. Alternatively, you may use more than one data source to consolidate all of your data on one platform, such as with BigQuery, which is a cloud-based data warehouse that is accessible from anywhere in the world. You may pick and choose which connections to use, and all of your data will be synchronized in one location for you. If you want to insert all of the data, you can select the “add data” option.

You may also make use of the supermetrics add-on to assist you in this area.

The best aspect is that the Supermetrics add-on may now be utilized in Data Studio as well as in other applications.

Data-Driven labs are the source of this information.

Adding the necessary elements

After you have finished importing the data from BigQuery or any other source, the following step is to add the appropriate and necessary features that will assist you in creating interactive and helpful dashboards for your users. It is important to remember to include all of the parts that are essential and necessary for the report. Include the ad groupings that are under consideration and are currently being discussed in the media. Adding outdated data and selecting metrics that are not necessary can be ineffective and waste a significant amount of time.

Each of the components has its own symbol to distinguish it from the others.

Data-Driven Labs is the source of this information.

Add a Date range Filter

You should now include a date range filter. Go to the top of the page and click on the data range icon. Then click on the date range filter option. In essence, the elements that are present are in “auto” mode. You must alter the date since you wish to study the analytics data for the sake of comprehension. Changing the date can assist you in looking at a more specific collection of data and in making comparisons between data sets. The data range filter indicator appears as a mini calendar on the top bar, and you may select whatever dates you wish from it by clicking on it.

Also available is the ability to compare items over a specified period of time and use the results to inform future decisions. Data-Driven Labs is the source of this information.

Add Images and Text Headers

Moving ahead, you will include appropriate photos to ensure that they are able to visually portray the data, as well as word headers, in your document. Adding titles to the analytics data might help it appear more ordered and well-put-together. After you’ve selected the proper headers, click on the “image” icon to insert the photos where you want them to appear. Data-Driven labs are the source of this information. Your report will now appear more visually attractive and dynamic than it did previously.

Styling the Dashboard

The style of the pieces that have been introduced is the second and last phase in this process. You have imported your data from many sources, such as BigQuery and many more, and your web analytics data has been organized and prepared for analysis and reporting. You’ve also included all of the necessary pieces; the only thing left to do is to apply some “styling.” As soon as you are through with your work, go to the “Layout and Theme” sidebar, which contains many different choices for you to select from.

Data-Driven Labs is the source of this information.

Share the final report

The final, but not the least, step is to distribute the report that you have generated to your colleagues. Even when it comes to distributing the reports, there are a plethora of alternatives available to you. You have the ability to adjust the report settings and either restrict editing permissions to yourself or provide editing powers to others. After making the necessary modifications, you may share the report link with others. However, keep in mind that other people will only be able to access it up to the specific limit that you have set for them to view it.

Key Takeaway

It is critical that you comprehend and learn everything you can. It is a common misperception that technology and the cloud are solely for technologists. New technologies such as these are being launched to provide a platform for teams to collaborate while also providing quick analytics on a dashboard. The rising usage of cloud data services such as Supermetrics, BigQuery, and Data Studio has simplified the job of a team working on projects such as these. If you are unable to comprehend how to utilize Google Data Studio, you can refer to Google Analytics for assistance.

It enables you to import data from a data source such as BigQuery, construct one or several dashboards, apply a ready-made template, and work with spreadsheets and other documents.

This may easily lead to stories of how a single tool can inspire meaningful activities that have a good influence on society.

Google Data Studio: Ultimate Guide To Visualizing Data In A Valuable Way

Google Data Studio assists you in getting more value from your statistics. Once you’ve determined that you have a correct setup and that your data has been reviewed to ensure that it is reliable, you must mobilize your data. You must ensure that it is useful and accessible to all stakeholders. When it comes to getting things done, how you convey your data stories may make all the difference. When it comes to creating reports in Google Analytics, there are numerous options available, but Google Data Studio is my favorite and (in my view) the most straightforward.

It shouldn’t take you more than a few hours of tinkering with the interface to create a report that is both visually appealing and interactive.

Why Use Google Data Studio Anyway?

Data Studio is essentially Google’s version of Tableau, which is available for free. Google’s Data Studio represents a new kind of technological innovation. Rather than bringing data into an external application such as Microsoft Excel, we can simply construct a dashboard online and engage and communicate in the same manner that we can do with other Google cloud services such as Google Sheets, which is a huge time saver. As the data in your Data Studio dashboard refreshes in real time, it becomes extremely simple to iterate on your design, and it becomes quite simple to share these dashboards with any stakeholders.

One of the most significant advantages of utilizing Data Studio is the simplicity with which it can access and merge a large number of various data sources.

And, of course, the tool is completely free, which is an added bonus.

Google Data Studio Basics: Getting Your Feet Wet

Okay, let’s go right onto the platform and get things going. Following your registration, you should be presented by an interface that looks somewhat like this. When you first log into Data Studio, you will get the typical welcome screen. On the top bar, you have the choice of creating a new report from scratch or using a pre-made template to get started. When you are just getting started, I recommend utilizing a template (if only to become inspired and see the possibilities). Later on, when you’ve gained some familiarity with the platform, creating reports from scratch is a simple and beneficial process that you can master.

  1. This one is titled “Acme Marketing,” and as you can see underneath the title, it is a report that was created using Google Analytics information.
  2. Previewing the “Acme Marketing” template from Data Studio’s pre-built library You’ll be prompted to pick a data source once you click Use Template on the previous screen.
  3. Make a decision on the data source for your example report.
  4. Make changes to your items by clicking on them or by deleting them.
  5. A Data Studio report is far more difficult to mess up than a Google Analytics setup (provided you have the appropriate permissions).
  6. While reading articles and watching tutorials are excellent ways to master this tool, playing about with it and noodling with it is the most effective approach to get proficiency.
  7. Another item to consider is the built-in onboarding modules that are included with Data Studio.
  8. Take a look at it, and you’ll receive a great report with comments that will help you understand what is available with the tool.
  9. Even though it is only the first step (interact with a report), there is a whole interactive tutorial to guide you through the process of troubleshooting problems, adding data sources, and creating charts.

To get started, simply navigate to the “Copy and Edit a Report” area of the website. Make a copy of your report and make changes to it.

Connecting Data Sources in Google Data Studio

A data source must be connected to each and every report that you create. As in a pipeline, a “data source” in Google Data Studio is a source of information that is fed into your Data Studio report or dashboard. It is responsible for transferring raw data into the platform, which allows you to create visually appealing charts and graphs. Fortunately, Data Studio includes a plethora of really simple connectors, so you won’t have to work too hard to get everything set up. After arriving at the welcome page, navigate to the Data Sources section on the left-hand side of the screen, which should lead you to a screen displaying existing connections (if you’ve already added any).

You may then add new connectors to your system from there.

Data Studio comes with a slew of pre-installed connections.

Some of the pre-built connections are as follows:.

  • Advertisers, Attribution 360, BigQuery, MySQL, Google Sheets, Google Analytics, YouTube Analytics, and Search Console are all examples of tools that may be used to collect data.

.as well as many others. Taking everything into consideration, it becomes clear that Data Studio is much more than just an extension of Google Analytics. It is possible to combine and blend various data sources in order to create truly intriguing data tales.

Inspiring Report Examples

Using Data Studio, I was able to visualize the descent of M Night. As previously said, you have a great deal of options when it comes to linking data sources. Consider the “upload a file” option, which allows you to include data from any file you’ve ever worked with in Excel.

Excel to Google Sheets

However, I would want to share one piece of advice about Excel docs: if you intend on connecting an Excel file, consider switching it to Google Sheets instead. When combined with the Data Studio connection, it provides a significant reduction in effort and complexity, which is especially useful when working with frequently changing information.

Add Google Analytics as a data source

All right, moving on, let’s include Google Analytics as a data source. Those who are unfamiliar with Google’s demo account, which is a real Google Analytics account for their retail store, should know that they may have access to one for free. Click Google Analytics on the left-hand side of the screen, and then go through the account hierarchy to find the data view you’d like to link to it. Creating a connection with Google’s demonstration analytics account As a result, you will be directed to a rather baffling website where you may change your connection with a dizzying array of choices.

  1. It’s possible to provide field, type, and aggregate, which all serve to inform Data Studio about the sort of data they’ll be working with.
  2. In contrast, if you’re connecting a file or Google Sheets, or something else that allows for greater customization, you should double-check that all of the data types are correct.
  3. Last but not least, there are links.
  4. You have the option of selecting either the Owner’s or the Viewer’s credential.
  5. Select either the Owner’s or the Viewer’s Credentials.
  6. If you get the data integration perfect, creating the visualizations is a piece of cake (though not easy – design and visualization is very difficult to get right).
  7. There are an infinite number of methods to construct and shape your reports, which is the first thing to understand about data studio.
  8. If you’re new to Data Studio, it’s best to start with a template.
  9. Take, for example, the screenshot below, which shows how a time series chart, a geo map, a bar chart, and various “score cards” may all be used effectively in the same situation.
  10. After some investigation, though, you’ll most likely want to construct your own custom-tailored report.
  11. The following charts are represented by icons in the top horizontal bar beneath the menu, and you can also access these choices from the “Insert” menu: Data Studio simplifies the process of creating charts, as well as adding text and decoration.

The following are the most fundamental sorts of charts you’ll be able to access:

  • Time series, bar chart, combo chart, pie chart, table, geo map, scorecard, scatter chart, bullet chart, and area chart are all examples of graphs.

Additionally, you may incorporate design components like as text, photos, and forms. Finally, you have the option of including data ranges and filter options that visitors who have access to the report may use to interact with it (e.g. they could see what sales and traffic data was for the month of May or April and with X filter on the data). There are so many possible configurations for a Data Studio report that I won’t go into detail on how to put them up. However, to demonstrate a fast example, I’ll take a time series and graph Sessions by User Type.

  1. Essentially, you select all of your inputs from the form on the right-hand side of the screen.
  2. You may also include style in your shopping basket.
  3. A score card is another typical feature that you’ll most likely see when working with Data Studio.
  4. Key performance indicators and critical high-level metrics like as sales, traffic, and daily active users are the most frequently visualized with these types of charts.
  5. Once again, the possibilities are unlimited.
  6. Just have fun with it.
  7. Simply experiment and see what you can come up with in terms of charts and visualization.
  8. You should think about what business questions you want to answer, what metrics and charts will help you make choices, and what information is important to your stakeholders, among other things.

Data Visualization Best Practices in Google Data Studio

First and foremost, I would like to state that I am not a designer. I’m not trying to blow you away with any intricate design advice here, and if you truly want to enhance your analytics reports, you should probably collaborate with a professional designer. Although this is the case, there are a few best practices and recommendations that might be useful when you’re just starting started with Google Data Studio.


When you’re creating your report and include a chart, you’ll see that there is an option under Style that you may click on. This allows you to change the look of components in your report to suit your preferences. The following chart design example is not intended to be taken as a “good” example; I simply chose some random colors and other elements to demonstrate that you can customize everything from the background color of the chart to which side the axis is on and whether you use lines or bars to visualize the data.

Unintentionally humorous graphic demonstrating how easily looks can be changed.


Finally, I’d like to share my first best practice: instead of modifying individual stylistic variables, you should generally just edit the theme settings. When it comes to professional designers, this suggestion may seem a little naive—but if you’re just starting out, stay with theme design. It will save you time and money. The Theme design menu may be accessed by simply clicking on a vacant area on your report’s layout. It will be on the right-hand side of the street. The majority of your effort should be spent customizing the design of your site using the Theme section.

  • Make use of the grid lines to ensure that pieces are aligned with one another and are spaced appropriately
  • Recognize and design for your target audience. Communication and clarity take precedence above wit and beauty, respectively. Clearly identify and explain everything where it is needed. Simplify! Make it as simple as possible to skim and grasp what you’re reading
  • Don’t use visualization techniques to deceive or mislead others. Don’t use conventional axis charts (such as the one I used in the example above)
  • Keep an eye out for the small details (do your pie charts total up to 100 percent?).

Please keep in mind that I am not a designer or a data visualization professional. I just follow a simple heuristic: your data visualization should not cause users to ask themselves, “WTF?” People shouldn’t be confused or embarrassed by your data visualizations if you want them to trust you. -the source of the image

Beyond basics

A helpful, clear, powerful, and entertaining tool for analyzing, sharing, and interacting with data, Google Data Studio is a great place to start. Given that it’s a new product (it’s still in beta, to be exact), I’m certain that much of the interface will change over time, and that they’ll continue to enhance its user interface and capabilities. Furthermore, this essay is only an introduction on the subject. It’s sufficient to get you started, but there are a range of advanced-level workarounds and methods available to you within the application (for instance,this article shows you how to build funnels in Data Studio).

Hopefully, this tutorial has assisted you in getting started; nevertheless, it is now up to you to explore and develop in order to create some stunning dashboards.

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