Google Data Studio Tutorial 2023 with FREE PDF ebook – Looker Studio

My step-by-step blueprint for using Looker Studio (formerly Google Data Studio)

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Last Updated: January 3, 2023

Welcome to my Looker Studio (formerly Google Data Studio) Tutorial. 

I am very excited to teach you how to use Looker Studio to visualize and analyze data.  

What is Looker Studio?

Looker Studio (formerly Data Studio) is a tool used to visualize data. 

Google has renamed Data Studio to Looker Studio since Google acquired the Looker visualization tool. 

Google has unified their business intelligence product family under the Looker umbrella by merging the functionality of Data Studio, Looker and artificial intelligence together in Looker Studio. 

All the functionality from Data Studio will be the same in Looker Studio. 

Looker Studio is a cloud-based tool which means you can access it from any device/browser as long as you have access to a stable internet connection. 

Looker Studio is a free visualisation tool allowing you to build great dashboards and reports.

Google also provides Looker Studio Pro, which is the paid version of Looker Studio, where you get all the features of Looker Studio plus enhanced enterprise capabilities and technical support.

Note: Looker Studio is built on Google Drive. That means you need a Google Drive account before accessing it.

Why use Looker Studio?

When you have got a lot of data to analyze, you cannot spend days or weeks analyzing hundreds or thousands of rows of data in Excel spreadsheets …. to find hidden trends and insight.

You need a tool that allows you to quickly make sense of data and determine patterns and anomalies which are otherwise….. can be extremely hard to detect in a timely manner.

This is where data visualization tools like Looker Studio come in handy. Through this tool, you can greatly speed up your data analysis.

Data visualization is the presentation of data in a graphical format.

Data visualization helps in data interpretation and data retention. It helps to tell meaningful, emotional and engaging stories to key decision-makers.

If you wish to make your data reporting more meaningful and persuasive, then you need to learn the art of storytelling by visualizing your data. 

Looker Studio can make your data reporting much more meaningful and persuasive.

What are the benefits of using Looker Studio?

Looker Studio is a great visualization tool since it is versatile and easy to create, share and collaborate at zero cost.

Following are some of the main benefits of using Looker Studio as a visualization tool.

#1 Multiple data sources:

You can connect Looker Studio to multiple data sources and collect and combine data in one single report. 

This way, you can measure your marketing activities across platforms and channels and generate cross-platform and multi-channel insights.

#2 Unlimited customization:

You can fully customize the Looker Studio reports. 

You can use a blank canvas to design your own report from scratch, or you can use a Looker Studio template. 

This makes Looker Studio a very convenient and hassle-free way to design reports and dashboards for various data platforms like Google Analytics, Google Ads, YouTube ads, etc.

#3 Dynamic and real-time reporting:

Looker Studio reports are very dynamic in nature. That means you can apply any sort of filter on a data source and narrow down the data based on date range, time, users, device category, country, etc. 

Also, these reports can be made in real-time by pulling the data in real-time as it is available in the corresponding data source.

#4 Report sharing and collaboration:

Looker Studio reports can be shared in multiple formats by scheduling email delivery, creating a link for a report or downloading the report as a PDF. 

You can also add your peers to the report for editing and reading purposes, making collaboration painless across the team.

#5 Zero cost:

One of the big advantages of using Looker Studio is that it is completely free to use. 

Also, there is no limit to the number of users per Looker Studio account, which makes it more meaningful in a large organization.

How to access Looker Studio?

If you have never used Looker Studio before, then the best way to access it is by searching for the keyword ‘Looker Studio’ on google.com and then clicking on the first search engine listing:

google search

Alternatively, you can access Looker Studio by clicking on this link: https://datastudio.google.com/overview

Then click on the ‘USE IT FOR FREE’ button:

use it for free

Now log in using your Google email address and password. 

If you do not have a Google account, then click on the ‘create account‘ link:

create account

If you have never used Looker Studio before, then this is what the home page of Looker Studio will look like:

home page looker studio

Related Article: How to use Looker Studio in another language

Why should you pull data into Looker Studio via a spreadsheet or data warehouse?

A rookie mistake that most Looker Studio users make is pulling data directly from a data platform into Looker Studio and then trying to manipulate it there. 

pull data into Looker Studio

But Looker Studio is not meant for data manipulation. It is not a spreadsheet.

When you manipulate data in Looker Studio, it slows down your report. This is especially true for large data sets.

Manipulating data in a spreadsheet or data warehouse (like BigQuery) is much easier than manipulating data in Looker Studio.

When you choose to manipulate data in Looker Studio, you make it unnecessarily hard to use.

That is why we first pull the data from a data platform into a spreadsheet (like Google Sheets or Excel) and manipulate the data there, and only after that use that data in Looker Studio.

How to visualize data in Google Sheets via Looker Studio?

Step-1: Prepare your Google Sheet Data for Looker Studio.

Before you upload data from Google Sheets to Looker Studio, you need to make sure of two things:

  1. You pulled data correctly into Google Sheets. 
  2. The data you pulled into Google Sheets is in the correct format.

Because this is going to affect your data visualization and data analysis in Looker Studio. 

If you feed garbage to Looker Studio, then you are going to get garbage. 
Garbage in, Garbage out.

Following is an example of incorrectly formatted data:

incorrectly formatted data

The data is not formatted correctly because it has empty rows, columns, and totals.

The column headers are missing. The data is not using the correct data types.

So, for example, the field ‘order date’ is not of type ‘date’. 

The ‘Revenue’, ‘Tax’ and ‘Shipping’ fields are not of type currency.

Following is an example of correctly formatted data:

correctly formatted data

By correct format, I mean:

  • There are no empty rows or columns.
  • Each column has headers that are meaningful, unique and self-explanatory.
  • There should not be subtotals or grand totals in your data source.
  • You also need to ensure you are using the correct data types. So, for example, dates are of type ‘date’, texts are of type ‘text’, numbers are of type ‘number’, and the currency is of types ‘currency’.

Step-2: Navigate to https://datastudio.google.com/overview

Step-3: Click on the ‘USET IT FOR FREE’ button:

use it for free 1

Step-4: Sign in with your Google email and password. You should now see the home page of Looker Studio:

home page looker studio

Step-5: Click on the ‘Create’ button:

create

Step-6: Click on ‘Data Source’:

data source

Step-7: Scroll down, find the Google Sheet Connector and then click on it:

link google sheets

Step-8: Rename your data source by double-clicking on the ‘Untitled Data Source’ text:

rename data source

Step-9: Find and click on your Google Sheets which contains the data you want to visualize:

select google sheet

Step-10: Click on the blue ‘Connect’ button on the top right-hand side:

connect

You should now see a screen like the one below:

data source home

Step-11: Make sure each field is of the correct data type

For example, from the screenshot above, we can see that the ‘order date’ field is of type text. It should be of type ‘date’:

correct data type
correct data source date

Similarly, the ‘Transaction ID’ field is of type ‘date’. It should be of type ‘number’:

correct data type number

All the green fields represent dimensions, and all the blue fields represent metrics

At this point, you cannot change the order of various dimensions and metrics, but you can sort them based on name, type, and default aggregation using the arrow buttons:

sort

Step-12: Once everything looks all right then click on the ‘Create Report’ button on the top right-hand side of your screen:

create report

You should now see a dialog box like the one below:

add to report

Step-13: Click on the ‘Add to Report’ button.

You should now see the following similar screen with a table on the canvas:

table on canvas 1

Step-14: Name your report by double-clicking on the text ‘Untitled Report’:

rename report

That’s how you can create a report in Looker Studio and visualize the data from Google Sheets.

Step-15: In order to see this table in the ‘view mode’, click on the ‘view’ button on the top right-hand side:

view

That’s how your report will look in the view mode:

view mode

Step-16: If you want to edit this table again, then click on the ‘Edit’ button on the top right-hand side:

edit

That’s how you can use Looker Studio with Google Sheets.

Let’s now learn how to use Looker Studio with Google Analytics.

  1. How to format Google Sheets data for Looker Studio
  2. How to use Looker Studio with Google Sheets
  3. Working with timezones in Google Sheets and Looker Studio

How to visualize Google Analytics data via Looker Studio?

Follow the steps below:

Step-1: Navigate to the home page of your Looker Studio account: https://datastudio.google.com/navigation/reporting

Step-2: Click on the ‘Create’ button:

create

Step-3: Click on ‘Data Source’:

data source

Step-4: Scroll down and find the Google Analytics Connector, then click on it:

link google analytics

You should now see a screen like the one below:

google analytics connector

Step-5: Double-click on the text ‘Untitled Data Source’ and then rename it (say ‘Google Analytics Account’):

google analytics connector rename

Step-6: Find and click on the GA property which contains the data you want to visualize:

google analytics connector select property

Step-7: Click on the blue ‘Connect’ button on the top right-hand side:

google analytics connector connect

Here we are using the Google demo account.

Once you click on the ‘connect’ button, you should now see a screen like the one below:

google analytics connector home

Here, all green fields are Google Analytics dimensions, and blue fields are Google Analytics metrics.

Step-8: click on the ‘Create Report’ button on the top right-hand side of your screen:

google analytics connector create report

You should now see a dialogue box like the one below:

add to report google analytics connector

Step-9: Click on the ‘Add to Report’ button.

You should now see the following similar screen with a table on the canvas:

google analytics connector report canvas

Step-10: Name your report by double-clicking on the text ‘Untitled Report’.

That’s how you can visualize Google Analytics data in Looker Studio.

  1. How to extract data from Google Analytics into Google Sheets
  2. How to extract data from Google Ads into Google Sheets
  3. How to extract data from Facebook Ads into Google Sheets
  4. How to extract data from Google Search Console into Google Sheets
  5. How to extract data from Excel or CSV file into Google Sheets 

The building blocks of Looker Studio

The following are the building blocks of Looker Studio:

  1. Data platforms
  2. Connectors
  3. Data sources (aka Data Source Schemas)
  4. Data sets
  5. Data source schema fields
  6. Dimensions
  7. Metrics
  8. Data types
  9. Reports
  10.  Components (charts)

Understanding data platforms in Looker Studio

Before using Looker Studio and creating reports to visualize data, you need access to one or more data platforms.

Following are examples of data platforms:

In order to pull data from these data platforms into Looker Studio, you would need to use a connector(s).

What are connectors in Looker Studio?

A connector is a mechanism through which you can pull data from a specific data platform. 

Any data platform accessible via the internet can be connected with Looker Studio.

There are two broad categories of connectors:

  1. Ready-made connectors
  2. Custom made connectors

#1 Ready-made connectors in Looker Studio

These connectors are ready to use. They are free to use or require a monthly/annual subscription. 

Google connectors, partner connectors and open-source connectors are examples of ready-made connectors.

#2 Custom-made connectors in Looker Studio

These connectors are developed on demand and are used when ready-made connectors can’t be used to pull data from a specific data platform. 

You can create your own connector by using Google Apps Script.

If you are not a developer, you can hire someone to create a custom-made connector for you.

The Looker Studio Connector Gallery lists all the connectors supported by Looker Studio. 

connector gallery

Here you can see a list of all the currently available connectors. 

If you build your own connector, you can choose to publish and promote it in the connector gallery.

Here is the link to the Looker Studio Connector Gallery: https://datastudio.google.com/data

What are Google connectors in Looker Studio?

Google connectors are the connectors built and maintained by Google.

At present, Google provides 23 different types of connectors in Looker Studio:

google connectors

All of the Google connectors are free to use as long as you have access to the right Google product. 

For example, if you do not have access to GA 360, then the Display and Video 360 connector is of no use to you:

link display video

There are three categories of Google connectors:

  1. Google product connectors
  2. Google database platform connectors
  3. File upload connector

Google product connectors in Looker Studio

Through Google product connectors, you can pull data from Google products into Looker Studio.

Following are examples of Google product connectors:

1. Campaign Manager 360 – This connector connects your Looker Studio account to your Campaign Manager network and advertiser data.

link campaign manager

2. Display & Video 360 – use this connector to connect your Looker Studio account to your Display & Video 360 data.

link display video

3. Google Ad Manager – connect Looker Studio to Google Ad Manager 360

link google ads manager

4. Google Ads – connect Looker Studio to Google Ads.

link google ads

5. Google Analytics – connect Looker Studio to Google Analytics.

link google analytics

6. Google Cloud Storage – connect Looker Studio to Google Cloud Storage.

link google cloud storage

7. Google Sheets – connect Looker Studio to a Google Sheets worksheet or range.

link google sheets 1

8. Search Console – connect Looker Studio to Google Search Console.

link search console

9. YouTube Analytics – connect Looker Studio to YouTube Analytics.

link youtube analytics

10. Search Ads 360 connector – connect Looker Studio to Search Ads 360.

link search ads 360

11. Google Surveys – connect Looker Studio to Google Surveys

link google surveys

Google database platform connectors in Looker Studio

Through Google database platform connectors, you can pull data from Google database platforms into Looker Studio.

Following are examples of Google database platform connectors:

1. Google BigQuery – connect Looker Studio to BigQuery tables.

link big query

2. Google Cloud Spanner – connect Looker Studio to Cloud Spanner databases.

link cloud spanner

3. Google Cloud SQL for MySQL – connect Looker Studio to Google Cloud SQL databases.

link cloud sql for mysql

4. MySQL – connect Looker Studio to MySQL databases.

link mysql

5. PostgreSQL – connect Looker Studio to PostgreSQL-based databases.

link postgresql

6. Amazon Redshift – connect to the Amazon Redshift database

link amazon redshift

File upload connector

link file upload

Use the file uploader connector to upload data from any data source (via a CSV file) to Looker Studio that is not supported by a specific connector. 

Use this connector if you want to connect your Looker Studio account with Microsoft Excel spreadsheets. 

If you prefer using Excel with Looker Studio, you will use this connector a lot. 

I prefer to use Google sheets because it natively integrates with Looker Studio and other Google products like Google Analytics and Google Ads.

Extract data connector

link extract data

Extract data connector is used to pull only a subset of data from an existing data source (i.e. data source which is already available in your Looker Studio account).

The subset of data from an existing data source is called the ‘Extracted Data Source‘.

Thus by using the Extract data connector, you can create an extracted data source in Looker Studio.

The advantage of using the Extract data connector is that when you extract only a subset of data (instead of all of the data) from a data source (to create reports and explorations), it can make your Looker Studio reports and explorations load faster.

Not only that but your reports and explorations also become more responsive when applying filters and date ranges.

Note(1): Extracted data sources can contain up to 100MB of data.

Note(2): By default, the extracted data sources contain static data. If you want the extracted data source to update automatically, then you would need to turn on the ‘Auto Update’ feature while creating the data source:

auto update

What are partner connectors in Looker Studio?

Partner connectors are connectors built and maintained by third parties like Supermetrics, Funnel, etc.

At the time of writing, 661 different types of partner connectors are available in Looker Studio: https://datastudio.google.com/datasources/create

partner connectors

Note: Partner connectors are usually not free to use and would require a monthly/annual paid subscription.

Why do you need partner connectors in Looker Studio?

Google does not provide any connector for non-Google products.  

If you want to pull data from a non-Google data platform (like Facebook Ads, Adobe Analytics, Bing Ads, etc.), then you need to use/purchase a partner connector.

Partner connectors are required when you want to consolidate data from multiple data platforms and visualize them in Looker Studio. 

You can unite data from multiple marketing platforms into Looker Studio through partner connectors.

For example, you can report and compare Google Ads, Facebook, Instagram, Twitter, LinkedIn and Bing Ads campaigns in a single Looker Studio report.

Partner connectors make cross-platform reporting possible in Looker Studio.

Supermetrics partner connectors

Supermetrics is a great tool that you can use to get partner connectors.

They provide connectors for the following data platforms:

  • Facebook Ads
  • Hubspot
  • Microsoft Advertising
  • Twitter Ads
  • Instagram Insights
  • LinkedIn Ads
  • YouTube
  • Adobe Analytics
  • MailChimp, etc.

Supermetrics for Looker Studio is a Google Sheet add-on that lets you use several connectors for pulling data from multiple non-Google data platforms.

I also use and recommend Supermetrics for Google Sheets add-on. 

I use this add-on to pull data from Google Analytics into Google Sheets. 

Its free version is also available and is good enough if you only use Google Analytics as a data source.

  1. How to use Supermetrics for Google Sheets Add-on
  2. Guide to Supermetrics queries for Google Sheets

Difference between the Supermetrics for Google Sheets and Google Analytics Spreadsheet add-ons

Both are Google Sheet add-ons, and both are free to use. Both are used to pull Google Analytics data into a Google Sheet. 

The main difference is in the ease of use. 

The Google Analytics Spreadsheet Add-on (developed by Google) is not as easy to use as the Supermetrics for Google Sheets add-on, so I recommend using the Supermetrics for Google Sheets add-on.

Related Article: How to use Google Analytics API without any coding

GA4 Quota in Looker Studio

Looker Studio has a GA4 connector. This connector uses the GA4 data API to get its data.

Google enforces a quota on this API which could result in you seeing a data set configuration error message while using looker studio reports:

data set configuration error message looker studio

There are daily and hourly quotas.

The daily quotas are refreshed at midnight PST (Pacific Standard Time). Whereas the hourly quotas are refreshed hourly.

Following is the complete list of various GA4 quotas in Looker studio:

ga4 quotas

The two quotas that have the biggest negative impact on the use of Looker Studio reports are:

#1 Core tokens per project per property per hour (1250)

Every component (like a data table) in your looker studio report consumes a certain number of tokens.

The number of tokens consumed by each component depends on factors like data range, filters, amount of data processed, the frequency of report refreshes, frequency of edits etc.

The more users interact with your reports, the faster you will consume the hourly token quota.

#2 Core Concurrent requests per property (10).

The more people view your looker studio report simultaneously, the faster you will consume this quota.

The more components you use in your looker studio report, the faster you will consume this quota.

You can monitor the GA4 token (data) usage of your report or report component in Looker Studio.

To see the GA4 token usage of your report, right-click on the report canvas and then select ‘Google Analytics Token Usage’ from the drop-down menu:

google analytics token usage looker studio report
google analytics token usage looker studio report 2

To see the GA4 token usage of a report component (like a data table), right-click on the report component and then select ‘Google Analytics Token Usage’ from the drop-down menu:

google analytics token usage report component
google analytics token usage report component 2 1

You don’t have to worry about the tokens consumed if you do not directly pull the GA4 data into Looker Studio if you do not use the GA4 connector for Looker Studio.

Instead, do what I do and recommend.

Pull the GA4 data into Google Sheets/BigQuery, manipulate it there and then send it to Looker Studio.

What are the data sources in Looker Studio?

A data source is a Looker Studio file that defines how a connector should pull data from a specific data set and then send it to the report(s) in Looker Studio.

When you log in to Looker Studio, Google gives you the option to create a new data source or edit an existing data source:

data source schemas

But the name ‘data source’ (in the context of Looker Studio) is a misnomer. 

You are not creating a data source in Looker Studio. 

What you are actually creating is data source schema which defines how a connector should pull data from a specific data set and then send it to one or more reports.

The data set that you use is your actual data source. You create a data source schema for a specific data set.

So if you want to display data from a data set in your Looker Studio report, then you would need to create a data source schema for that data set and then add the data source schema to your report.

What are data source schema fields in Looker Studio?

A data source schema is made up of a set of fields called data source schema fields:

fields

A connector pulls these fields from the data source.

Only the fields provided by the connector are the ones available to use in your schema and reports.

  1. Guide to data sources in Looker Studio
  2. Guide to data source fields in Looker Studio
  3. How to create and configure a data source in Looker Studio
  4. How to share a data source with others in Looker Studio
  5. Data Source version history in Looker Studio
  6. Community visualization access in Looker Studio
  7. Understanding data freshness in Looker Studio
  8. Understanding data source credentials in Looker Studio
  9. Field editing in reports – Looker Studio
  10.  Refresh data source schema fields in Looker Studio
  11.  Filter by email in Looker Studio
  12. The ‘data set configuration error’ in Looker Studio
  13. Formula Rejection in Looker Studio
  14. Understanding functions in Looker Studio
  15. Guide to calculated fields in Looker Studio
  16.  Doing basic maths on numeric fields via calculated fields
  17.  How to edit a calculated field in Looker Studio
  18.  Why you should avoid using functions and calculated fields in Looker  Studio 

What are the dimensions in Looker Studio?

A dimension is the attribute of your website visitors. It is used to describe or categorize your data. 

Dimensions in your data source schema appear as green fields:

dimensions

What are the metrics in Looker Studio?

A metric is a number that is used to measure one of the characteristics of a dimension. 

Metrics in your data source schema appear as blue fields:

metrics

Note: In Google Analytics, a dimension cannot be used as a metric and vice versa. Whereas in Looker Studio, a dimension can be used as a metric and vice versa.

What are the parameters in Looker Studio?

A parameter is a data source schema field whose value is supplied by a report user. 

It is used in calculated fields and reports components, just like a dimension or a metric.

Through parameters, you can pass user-supplied data to calculated fields and connectors. 

So if you want your report to display results based on user input, then you use the parameter field.

While editing a data source schema, you get the option to add one or more parameter fields:

add parameter

To learn more about parameters in Looker Studio, read this article: How to create and use parameters in Looker Studio.

What are the data types in Looker Studio?

The data type of a data source schema field determines the kind of data to expect (in the connected data set) when processing the field.

For example, when the data type of a field is ‘Number’, it tells Looker Studio to expect a number when processing the field:

number data type

When the data type of a field is ‘Currency (US – Dollars) ’, it tells Looker Studio to expect currency data in US dollars when processing the field:

currency data type

The data type determines which operations are allowed or not on a data source schema field. 

For example, you can’t apply an arithmetic function to a ‘Text’ field or use a ‘Number’ field as the date range dimension in a report.

Looker Studio supports the following data types:

  1. Numeric
  2. Text
  3. Date and Time
  4. Boolean
  5. Geo
  6. Currency
  7. URL
  8. Image
  9. Image link
  1. Guide to data types in Looker Studio
  2. Understanding aggregation in Looker Studio
  3. Looker Studio number formats/data types
  4. Guide to date and time data types in Looker Studio
  5. How to work with text data type in Looker Studio
  6. How to work with boolean data type in Looker Studio
  7. Geo Data – Country, Region, Latitude, Longitude in Looker Studio
  8. Image data type in Looker Studio
  9. Image Link data type in Looker Studio
  10.  Image function in Looker Studio

Introduction to Looker Studio reports

Reports in Looker Studio are used to tell stories with data. Every report you create should have some purpose. 

The purpose can be to provide actionable insight, give recommendations or persuasion.

Following are some best practices for creating a report in Looker Studio:

  1. Understand who your report is meant for
  2. Keep it short and simple
  3. Use a report template whenever you can to create a new report.
  4. Avoid pulling data directly from a data platform into your reports.
  5. Avoid charting data for the current day in your reports.
  6. Avoid using functions and calculated fields in your reports.
  7. Distribute related charts across multiple pages

To learn more about reports in Looker Studio, check out this article: Looker Studio report tutorial

  1. Best practices for creating a report in Looker Studio
  2. How to share reports in Looker Studio
  3. Seven methods to create a new report in Looker Studio
  4. Understanding Report Editor in Looker Studio
  5. How to invite people to view or edit a report in Looker Studio
  6. How to share the link of your report in Looker Studio
  7. Schedule email delivery of a report in Looker Studio
  8. How to download Looker Studio report as PDF
  9. How to embed a Looker Studio report on a website
  10.  Working with pages in a Looker Studio report

What are chart components in Looker Studio?

A report in Looker Studio is made up of one or more chart components like:

  1. Table
  2. Scorecard
  3. Time Series
  4. Bar Chart
  5. Pie Chart
  6. Google Maps
  7. Geo Chart
  8. Line Chart
  9. Area Chart
  10. Scatter Chart
  11. Pivot Table
  12. Bullet Chart
  13.  Treemap

You can access these chart components by clicking on ‘Add a Chart’ drop-down menu in the report editor:

add chart

Let’s build a chart to show website performance.

Click on the ‘Add a Chart’ drop-down menu and then click on ‘Score Card’:

score card

On the right-hand side of your report editor, you should see the panel where you can select the metric for the scorecard.

Let’s select the ‘Sessions’ metric:

sessions metric

Note: You can also add filters or segments to the selected metric.

Let’s repeat this step to add a few more metrics to our report.

Once you are done, our report may look like the one below:

report

Now let’s add a trend chart for ‘Visits in Last Week’.

Click on the ‘Add to Chart’ drop-down menu and then select ‘Time Series’:

time series

Under the ‘Data’ tab on the right-hand side panel, select ‘Date’ as a dimension and ‘Sessions’ as a metric:

date dimension

Now our chart on the canvas may look like the one below:

chart on canvas

Since Looker Studio supports dynamic reporting, you can also add controls to your report to give your report users more freedom to slice and dice data by selecting a date range, device type, segment etc.

Frequently Asked Questions about Looker Studio Tutorial

What is Looker Studio?

Looker Studio (formerly known as Google Data Studio) is a completely free data visualization tool which allows you to build great dashboards and reports.  It is a cloud-based tool which means you can access it from any device/browser as long as you have access to a stable internet connection. 

Why use Looker Studio?

Looker Studio can greatly speed up your data analysis. It allows you to quickly make sense of data and determine patterns and anomalies which otherwise can be extremely hard to detect in a timely manner.  Data visualization helps in data interpretation and data retention. It helps to tell meaningful, emotional and engaging stories to key decision-makers.

What are the benefits of using Looker Studio?

Looker Studio is a great visualization tool since it is very versatile and easy to create, share and collaborate at zero cost.

– You can connect Looker Studio to multiple data sources and collect and combine data in one single report.

– You can fully customize the Looker Studio reports. You can use a blank canvas to design your own report from scratch, or you can use a Looker Studio template. 

– Looker Studio is a very convenient and hassle-free way to design reports and dashboards for various data platforms like Google Analytics, Google Ads, YouTube ads, etc.

-Looker Studio reports are very dynamic in nature. That means you can apply any sort of filter on a data source and narrow down the data based on date range, time, users, device category, country, etc. Also, these reports can be made in real-time by pulling the data in real-time as it is available in the corresponding data source.

Why should I pull data into Looker Studio via a spreadsheet?

A rookie mistake that most Looker Studio users make is pulling data directly from a data platform into Looker Studio and then trying to manipulate it there. But Looker Studio is not meant for data manipulation. It is not a spreadsheet. When you manipulate data in Looker Studio, it slows down your report. This is especially true for large data sets.

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​#7 How to learn and master digital analytics and conversion optimization in record time.



   

My best selling books on Digital Analytics and Conversion Optimization

Maths and Stats for Web Analytics and Conversion Optimization
This expert guide will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions, which can quickly improve the bottom-line of your online business.

Master the Essentials of Email Marketing Analytics
This book focuses solely on the ‘analytics’ that power your email marketing optimization program and will help you dramatically reduce your cost per acquisition and increase marketing ROI by tracking the performance of the various KPIs and metrics used for email marketing.

Attribution Modelling in Google Analytics and BeyondSECOND EDITION OUT NOW!
Attribution modelling is the process of determining the most effective marketing channels for investment. This book has been written to help you implement attribution modelling. It will teach you how to leverage the knowledge of attribution modelling in order to allocate marketing budget and understand buying behaviour.

Attribution Modelling in Google Ads and Facebook
This book has been written to help you implement attribution modelling in Google Ads (Google AdWords) and Facebook. It will teach you, how to leverage the knowledge of attribution modelling in order to understand the customer purchasing journey and determine the most effective marketing channels for investment.

About the Author

Himanshu Sharma

  • Founder, OptimizeSmart.com
  • Over 15 years of experience in digital analytics and marketing
  • Author of four best-selling books on digital analytics and conversion optimization
  • Nominated for Digital Analytics Association Awards for Excellence
  • Runs one of the most popular blogs in the world on digital analytics
  • Consultant to countless small and big businesses over the decade

Get the FREE ebook on Looker Studio (formerly Google Data Studio) (75 pages)

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