Luckily, Supermetrics integrates with a handful of cloud storage and data warehouse platforms such as Snowflake, Amazon S3, Google Cloud Storage, and Redshift. Furthermore, collecting your data on the cloud platforms helps you take control of all the historical data. Also, you can use cloud computing resources to analyze your data.

In this post, I will guide you step-by-step on how to use the popular data warehouses and cloud storage integrations that Supermetrics has to offer.

Snowflake

Snowflake is a cloud computing data warehousing company. It helps organizations mobilize data with nearly unlimited power, performance, and concurrency. Let’s look at how to use Snowflake with Supermetrics. Before starting, make sure that you have signed up for both platforms.

Step 1: Create a destination on the Supermetrics website

Follow these steps to create a destination.

• Login to your dashboard.
• Navigate to the transfer data section.
• Click on destinations >> create destination (click new if you have an existing destination).

• Select Snowflake from the menu and click next.

• Configure the destination (Get the configuration details from your Snowflake Dashboard).

• Click on the test to confirm the connection.
• Click save if the test is successful.

Step 2: Create a data transfer

Creating a transfer helps you migrate data from a data source to the destination you have just created. You can also schedule automatic transfers to your destination at this step. You can run daily, weekly, or monthly data transfers. Note a single transfer has a maximum processing time of 6 hours.

After creating a destination, it’s time to initiate data transfer into the warehouse.

• Login to your Supermetrics dashboard.
• Click on transfers which are located on the left navigation panel.

• Click on create new.

• Select the source.
• Configure the transfer and click save.

Step 3: Run a backfill

After setting up the destination and transfer, you need to add historical data to your destination by using a data backfill.

• Login into your dashboard.
• Click transfers which are located on the left navigation menu.
• Launch the action menu on your preferred transfer and click Backfill.
• Set the start and end dates and click Ok.

Amazon S3

Amazon S3 is a simple cloud data storage platform that stores data as objects. This platform uses the same infrastructure as Amazon.com for scalability. It can host different data types such as applications, data archives, backup and recovery, hybrid cloud storage, and Data Lake for analytics. This is how to use Supermetrics with Amazon S3 cloud storage.

Amazon S3 Prerequisites

Before you begin configuring the Amazon S3 destination, you need to ensure you meet the following prerequisite. Otherwise, the connection will not work successfully.

Amazon S3 Bucket

The bucket will host data from Supermetrics.

Permissions

The Amazon S3 subfolder used as the destination needs the putObject permission. This permission is not mandatory, but it is useful. Furthermore, you can grant the deleteObject permission to automatically remove the empty setup file generated during testing.

IP Allowlisting

If you have set up an IAM policy that allows only certain IPS, IP allowlisting is required. Make sure to add the following IP addresses to your AWS IAM policy. Supermetrics will use these addresses to transfer data to your Amazon S3 account.

• 54.217.129.200
• 54.220.179.34
• 54.155.253.26
• Remember to add your IP address!

Step 1: Create a destination

Whenever you wish to transfer data to a data warehouse data lake or cloud storage, you have to create a destination in the super metrics dashboard.

• Login to your dashboard.
• Navigate to integrations >>Destinations.
• Create a destination or a new destination if you have existing destinations.
• Choose Amazon S3 Bucket as the destination type and click next.

• Fill in the required details.
• Test if the connection is successful and save. If the connection is not successful, go through your details and submit them again.

Step 2: Configure the destination

The process of creating a destination is similar INvarious data lakes, data warehouses, and cloud storage platforms. However, the destination configuration is unique as each platform has a different infrastructure. Take a look at the steps on how to configure Amazon S3 storage.

Fill in the fields with accurate Information, including:

Display Name: Enter a unique name that will help you distinguish this destination from other destinations in the super metrics dashboard.

Bucket name: Choose the Amazon S3 bucket you wish to use as your destination. Amazon s3 uses buckets as storage containers. You can store any type of data in a bucket. Each Amazon S3 account has a limit of 100 buckets. If you are not sure of the bucket, launch the Amazon S3 dashboard and check the name under Services>S3.

Upload Path: Select a folder structure inside your AmazonS3 destination bucket. If the path you specify exists, Supermetrics will transfer data to that folder; otherwise, it will be forced to create a new folder based on the path you provide.

Output format: You can select your preferred output format of the data you transfer to the Amazon S3 bucket.

Access Key: This is to verify ownership of the Amazon S3 account. You can get the access key In the AWS dashboard >> my security credentials.

Access secret: This is the secret access key for your access key ID. A corresponding secret access key is generated for every access key you generate.

Step 3: Backfill your data

Supermetrics comes with a Backfill feature that allows you to add historical data to the destination.

Google Cloud Storage

Google Cloud Storage allows users to store data as objects. This means you can store data in any format you like. Most people use Google-related products, and Google Cloud is not an exception. Luckily, Supermetrics allows users to connect and transfer data to Google Cloud Storage. Here are the steps to use Supermetrics with Google Cloud Storage.

Prerequisites

You need to meet the following prerequisite for successful configuration. The following data can be obtained from the Google Cloud dashboard.

Display name

Choose any name you wish to help you distinguish this transfer from others.

Bucket name

Just like in Amazon S3, Google also uses Buckets to store data. Look for your preferred bucket name in the dashboard under Cloud storage > Browser.

Output format

This feature provides you with options to choose your preferred output format.

Upload path

It refers to the location/folder inside the google storage bucket you wish to store the data. If you choose an existing folder, Supermetrics will transfer all the data inside that folder. However, if the folder does not exist, Supermetrics will create a new folder under the name specified.

Auth Key

You need to enter an Auth Key in Supermetrics for a successful data transfer to your Google Cloud account. The auth key is located at IAM &Admin>>service Accounts. It should look like JSON code. Make sure to copy and paste the entire code to the configuration field.

Step 1: Create a destination

Login to your Supermetrics dashboard and create a destination. Remember to choose Google Cloud Storage as your destination.

Step 2: Configure storage destination

It is important to configure the destination using accurate Information from your Google Cloud storage.

The Google Cloud platform has another product that integrates seamlessly with Supermetrics called Google BigQuery. If you want to learn more about it, you can take a look at “The Beginner’s Guide to Using BigQuery with Google Data Studio” that we released a while back.

Redshift

Redshift is a service by Amazon that offers a petabyte-scale warehouse. It allows users to store huge data from gigabytes to petabytes and more. After uploading the data sets, you can use SQL-based tools to perform queries and data analysis. You can link Supermetrics to Redshift by following these steps.

Prerequisites

You will need to fill out the following data in the configuration steps. All these prerequisites have to be met to use Redshift as a Supermetrics destination. They ensure that a connection between these two platforms can be established.

Database and Schema

Before creating a redshift destination, you need to ensure that you have a Redshift cluster, Schema, and database.        

Managing Schema changes

Supermetrics can make schema changes in Redshift. You or someone in your team can initiate such a change using the query manager. However, you need to ensure that Redshift has all it needs to perform the changes. Follow these guidelines:

Use views with NO SCHEMA BINDING

Redshift enables Schema binding for views by default. So the tables referenced by the views cannot undergo schema changes or be dropped. For this reason, users need to use views with no schema binding, especially the ones that reference super metrics tables.

Remove Key constraints

Key constraints can hinder schema changes sometimes. That’s why users are encouragednot to use them while dealing with Supermetrics. 

Permissions

If you are a Redshift team member, you need to have CREATE and USAGE permissions. Otherwise, you need to have user credentials with these permissions. Only Redshift cluster admins can grant users the required permissions.

IP Allowlisting

If your organization allows selected networks only, you will have to allow the IP addresses from Supermetrics. Add the following IP addresses, including your own, to not be locked out.

• 54.155.253.26
• 54.217.129.200
• 23.20.234.176
• 54.220.179.34
• Your IP/Organizations IP

The settings are located under Network and Security settings>Listed VPC security>group>Edit Inbound Rules.

Step 1: Open the Supermetrics dashboard and configure a destination

Use the prerequisites that we have discussed above to configure the destination.

Step 2: Initiate a transfer

• Login to the Supermetrics dashboard.
• Click transfers>>create new in the top right corner.

• Select Redshift and click ok.
• Now choose your data source.
• Configure the transfer.
• Click save.

Step 3: Run a backfill

A backfill helps users add historical data to Redshift and other preferred storage. Before using this feature, you need to ensure that you have created a destination and data transfer. Here are the steps to run a backfill to Redshift.

• Login to your Team Site on Supermetrics.
• Click on Transfers on the left.
• Open the action menu>>Backfill for the Redshift transfer.
• Set the dates for your historical data and click ok.

Note that there are limitations to using the backfill feature. Some data sources limit the amount the range of historical data that you can fetch. Backfilling data can take several weeks or months. So if you are using a trial version, data will be backfilled for 14 days only.

Azure Storage

Azure is a cloud storage platform powered by Microsoft. It allows users to store various data objects on its highly reliable, durable, scalable, and secure storage. Just like other cloud storage platforms we have mentioned above, you can use Microsoft Azure Storage with Supermetrics following these steps:

Prerequisites

The following prerequisites have to be met to use Supermetrics with Microsoft Azure storage.

Permissions

A minimum role of Reader and Data access is needed for Supermetrics to have enough permissions to complete the transfer. The permissions should be applied in the destination container of Azure Storage.

Access Key

Supermetrics requires an access key to authenticate transfers.

IP Allowlisting

Make sure the following IP addresses can access your Microsoft Azure storage.Note that you need to meet a minimum role of storage account contributor to modify firewall settings in Azure Storage. If you do not meet this role, you need to ask the admin to add these Supermetrics IP addresses. Of course, don’t forget to include your IP address.

• Your IP address
• 54.155.253.26
• 54.217.129.200
• 54.220.179.34

Similar to the steps described in the previous platforms, you need to create a destination. Then initiate a transfer and backfill the data that you are planning to connect.

Final Thoughts

It’s always important to store your data in cloud storage, data lakes, and warehouses. But using the manual way can be time-consuming and tiresome. This is where Supermetrics comes in!

You can add various data sources and automate the process saving you hours of manual labor. Supermetrics works with all the popular cloud storage platforms. All you need is to get permissions and the necessary details to configure a connection for data transfer.

I hope this was helpful! If you have any questions on advanced data blending, feel free to subscribe to my newsletter or take a look at one of our courses.

Introduction to Supermetrics for Data Automation – 2022

If you want to learn how to automate your reporting process and dashboards with Supermetrics for Data Studio, Excel and Google Sheets and BigQuery, take a look at my full course on Udemy.

The post Supermetrics for Data Warehouses and Cloud Storage Platforms appeared first on Data Studio.

How does Supermetrics for Azure Storage Work? (in short)

1. Login to your Supermetrics portal.
2. Click on “Integrations” and choose Supermetrics for Azure Storage.
3. Choose the container from your Azure portal where you want to move data.
4. Set up the transfer by choosing the data source, schema, and account. That’s about it, data will start flowing to your storage as configured.

Before you begin creating your destination storage you need to configure the Azure container environment. Let us look at the prerequisites.

Prerequisites

• The Azure destination should support containers such as Storage, StorageV2, or Blob Storage.
• You will need an Access key/Connection string for authentication in the Supermetrics portal.
• Make sure you have sufficient permissions. For example, you need to have a Reader and Data Access role. If you are the owner or a storage account contributor then you already have all the permissions and you can proceed to the next step.
• IP whitelisting: If the storage account allows access only from selected networks then you need to whitelist your IP address by clicking firewalls and virtual networks. Add the following Supermetrics addresses and your own IP address.
  • 54.155.253.26
  • 54.217.129.200
  • 54.220.179.34
  • Your IP Address

Detailed Step-by-Step Guide on Supermetrics for Azure Storage

How to remove a destination from the Supermetrics portal?

This might not be necessary, but in case you want to remove a destination from your Supermetrics account, you can do the following:

1. Click on the destinations tab under Integrations -> Destinations.

2. Find the destination you want to get rid of and click on the bin Icon.

3. Click okay to confirm the removal. If you experience an error because there is a running transfer, open the transfer tab then click the 3 vertical buttons and delete from there.

If you want to change the destination path or container you can click on the edit icon and input new values.

Frequently Asked Questions

1. Is Supermetrics for Azure Storage free?

You can get full access for 14 days for free without using your credit card. Once the 14 days are over then you will be charged according to the cost of the integration product. You can inquire and find out more about the pricing on the Supermetrics website.

2. How safe is Supermetrics?

All the connections in Supermetrics are handled and are encrypted by an SSL by default. Any attempt to connect via HTPP is automatically redirected to HTTPS.  Users can revoke the access tokens for Supermetrics at any time. It is also compliant with both CCPA and GDPR policies.

Final Thoughts on Supermetrics for Azure Storage

Azure Cloud Storage is a great avenue for data analysts and marketers to store their marketing data. As usual, Supermetrics acts as the bridge between all your marketing platforms and Azure Cloud Storage. You can store your data in this central location with just a few clicks. Gone are the days where businesses had to write complex scripts for transferring data or doing manual transfers.

I hope this was helpful! If you have any questions, feel free to comment or check out some of the other Supermetrics articles that I have. Also, you get a 20% discount from a Supermetrics subscription via a special promo code (this applies to first-time purchases made from the website ONLY)!

Last but not least, if you are more of a video person, you can also see Supermetrics’ video walkthrough on the topic!

The post Supermetrics for Azure Storage: Step-by-Step Guide appeared first on Data Studio.

In this video tutorial, we are going to explore the Supermetrics Google Analytics 4 connector and see how it can help you deliver better results for your business. Often, web analytics tools such as Google Analytics can provide us with great insights on how our website is performing. However, they can also be overwhelming and confusing due to the abundance of data points available.

This is why, it’s important to curate your insights in an effective way. All exercises in this tutorial are going to use a Google Analytics 4 Data Studio template created by Supermetrics themselves. So you will be able to get a first-hand experience in how to spot a good insight!

That being said, if you are a “how-to guide” type of a person, I have put together a written alternative! For those of you who are going to be watching, this is a link to the Google Analytics 4 template.

How do you setup the Supermetrics Google Analytics 4 in Data Studio?

I hope this was helpful! If you have any questions, feel free to DM me on LinkedIn or subscribe to my newsletter. In case you are curious, you can find more information about Supermetrics in an earlier piece I wrote. Check out “Top 8 Most Useful and Powerful Supermetrics Connectors” for my top connector picks.

Introduction to Supermetrics for Data Studio and BigQuery

If you want to learn more about Supermetrics, you can also complete my introductory course! In this quick crash course, you are going to learn how to automate data reporting by using the Supermetrics connectors.

By the end of the course, you will be able to:

• Pull data directly into your Data Studio report from multiple sources, including Facebook Ads, LinkedIn Company pages and etc.
• Eliminate hours of manual work by scheduling data transfers and automating your marketing reporting.
• Plug into all your BigQuery tables with one data source instance and pulls all that data neatly into Data Studio.
• Get access to 20+ dashboard customizable templates for SEM, paid & organic social media, programmatic advertising, SEO, web analytics, and more.

Plus, once you complete the course, you get a 20% discount from a Supermetrics subscription via a special promo code (this applies to first-time purchases made from the website ONLY)!

The post How To Use The Supermetrics Google Analytics 4 Connector Effectively? appeared first on Data Studio.

In this post, I will be reviewing the Top 8 most useful and powerful Supermetrics connectors and in what way you can use them to generate insights.

Supermetrics Connectors

A bit more about the Supermetrics connectors. They are also referred to as Supermetrics integrations. These connectors integrate with the most popular platforms out there. There are 60+ connectors available trusted by more than 500K marketers around the world. Supermetrics is a powerful tool because it helps marketers organize data in a better way, create visually captivating reports and save time. It comes with many customizable templates tailored to each data source connector.  You can choose any of the following destination platforms just to name a few:

• Supermetrics for Google Data Studio
• Supermetrics for Google Sheets
• Supermetrics for Excel
• Supermetrics API
• Supermetrics for Azure Storage
• Supermetrics for Amazon S3
• Supermetrics for Google Cloud Storage
• Supermetrics Uploader
• Supermetrics Snowflake
• Supermetrics for Google BigQuery (I also have a BigQuery guide for beginners)

Top 8 Supermetrics Data Source Connectors

Now, let’s dive into the top connectors (in my opinion) out there and why that is the case!

1. Supermetrics Facebook

Facebook is probably the most widely used social media platform out there. The reason being, it has all kinds of active audiences. With Supermetrics, marketers can extract the most valuable data from Facebook Ads, Facebook Insights, Facebook Audience Network, and Facebook Public Data. This platform comes with nice templates to store your most valuable data and then connect it to your preferred cloud storage or data visualization tool.

Supermetrics makes extracting Facebook ads data very simple. Also, it helps you sort the data that you need to remain with the relevant and most useful data. Once you get all the metrics that you need, you can move it to any destination of your choices, such as Google Sheets, Tableau, Snowflake, Data Studio, and more.

You can extract any metrics from Facebook Insights using Supermetrics as well. For example, you can extract Page Likes, Reach, Engagement, Post Actions, Reactions, Content Impressions, and much more. Another super useful configuration setting is the fact that you can play with the attribution window when important data and tweak it based on what your company is using. This is huge for marketers!

2. Supermetrics Instagram

If you are a marketer targeting Instagram, then Supermetrics will be very helpful. You can use it to gather both Instagram Insights and Instagram Public Data. This tool grants marketers access to all the Instagram Insight metrics and allows them to create custom reports.

The best thing about using Supermetrics for Instagram is that you can pull data from multiple accounts. Multiple account reporting helps marketers save time rather than pulling data from one account at a time. You can also move the insights to your favorite destination with a click of a button— no more copy and pasting.

This tool also offers the easiest way to organize Instagram’s public data.  You can follow the trending topics, monitor industry performance, and benchmark competition. Besides, you can create cross-channel reports. For example, you can analyze your marketing performance by combining paid and public data from Instagram with Twitter and Facebook.

3. Supermetrics Pinterest

Supermetrics offers marketers the easiest way to move their Pinterest Ads Data, Organic Data, and Public Data (I even have a live demo of this in my course). This tool comes with hundreds of templates to choose from according to your needs. Once you choose the most suitable template, you can now gather your most relevant data from Pinterest.

After gathering the data, you can easily move it to your preferred storage location or reporting tool. Supermetrics provides reliable data reports. It does not mess with the names or number of fields, yet it provides you with an already-to-use format.

This tool is great because it provides a complete performance overview. You can combine both web Analytics and the Pinterest Ads data. You can explore the Pinterest Ads Report Template for Google Data Studio further as well. 

4. Supermetrics LinkedIn

If you want to move your LinkedIn Pages Data or LinkedIn Ads Data, then Supermetrics is probably the tool to do it. It will help you organize and pull all the metrics that you are searching for into one template. The tool will also allows you to use any data ranges, sorting, segments, and filters. Supermetrics also provides access to a complete overview of the LinkedIn Ads data. You can visualize promoted update statistics, audience, and ads at the same time.

5. Supermetrics Twitter

This connector can pull data from Twitter Ads, Twitter Public Data, and Twitter Premium. No matter what Twitter Ad metrics you are looking for, Supermetrics provides a great overview. For instance, you can get an overview of promoted tweet statistics, audience, and other Twitter Ad Performance metrics.

6. Supermetrics YouTube

If you are in the creator space or simply manage a company channel, with Supermetrics, you can create reports for multiple YouTube channels. Once again, you can use any date ranges, filters, sorting, and segments. The best part is that you can analyze your marketing performance by combining advertising data, web analytics, and data from YouTube. The YouTube field reference offered by Supermetrics includes 34 metrics and 35 dimensions.

7. Supermetrics TikTok

This is a new one, as Supermetrics introduced the TikTok connector recently. Now you can move all your TikTok ads data to your preferred visualization tool or storage platform with ease. Although you get to use the early access version, it comes with great features and templates for marketers. You can get important insights such as gender, age, location, and language. Another useful insight that you can generate using this connector is the clicks by the hour. This metric is not even available on TikTok’s reporting UI. Besides, you can combine conversion data with performance metrics in either page events or in-app to understand the customer journey.

8. Supermetrics Shopify

One needs to use the best integration tools to be successful on Shopify. Supermetrics allows you to get cross-channel reports that combine web analytics data with Shopify sales data. This connector also allows you to arrange the Shopify metrics in your preferred way. Once you do this, comparing trends across different categories, products and campaigns becomes easier.

Supermetrics for Shopify allows marketers to set up automatic alerts to identify the categories or products performing well. The information will be useful, especially for feeding your email and ad campaigns.

Honorable Mentions of Other Supermetrics Connectors

Supermetrics SEO

Supermetrics connects with some of the best SEO platforms seamlessly as well. For example, you can connect to MOZ, Ahrefs, Semrush, and Google Search Console. After doing your research, you can use this tool to transfer data to any storage or data visualization tool.

Supermetrics for SEO makes the work easy for marketers to keep track of their internal links, referring domains, backlink profiles by connecting to their favorite platform. Besides, you can also use Supermetrics to analyze your competitor’s links profile.

Apart from getting data from individual SEO platforms, this tool allows you to connect with other sources such as Google Search Console and Google Analytics to analyze your data.

Supermetrics Email

You can use this connector to transfer your Mailchimp data to any storage location or simply visualize it. For example, you can move data to Google Data Studio, Tableau, Power BI or Google Sheets, and more with only a click of a button. This connector provides a complete Mailchimp performance overview by reporting feed statistics.

Apart from Mail chimp, Supermetrics has connectors tailored for other email marketing platforms such as Hubspot and Klaviyo.  If you use a different email platform, you can use Custom JSON/CSV/XML to connect to Data Studio or Google Sheets.

Supermetrics Web Analytics

Supermetrics has a huge collection of connectors for web analytics. You can choose one of your favorite web analytics platforms or choose multiple to produce one report. The data source connectors related to web analytics that you can choose from include:

• Google Analytics
• Adobe Analytics
• Bing Eebmaster tools
• Google My Business
• Google Search Console
• Hubspot
• Moz
• Optimizely
• Semrush analytics
• Yandex.Metrica

You can analyze paid conversions with Supermetrics. For instance, you can combine data from your paid channels and Google Analytics data to identify the campaigns driving conversions. Besides, you can easily move your data to google data studio for visualization. It helps you build dashboards with the exact data that you need. This tool also allows you to get un-sampled data from Google Analytics to ensure that your reports are reliable. You can start with the free dashboard to test your paid channel report on Google Data Studio.

Supermetrics Custom JSON/CSV/XML

If you are working with a platform that is not listed on the Supermetrics data source connectors, you can use custom JSON/CSV/XML. This connector allows marketers to move data from any platform to Google Data Studio or Google Sheets.

Supermetrics allows you to make adjustments based on market trends, holidays, local weather conditions, and other available public data. If you are knowledgable with Data Studio or Google Sheets, then using Supermetrics custom connector won’t be any problem.

Final Thoughts

Marketing automation is complex, there are no two ways about it. However, tools like Supermetrics can provide excellent goal monitoring capabilities. They let you save time with automatic updates since you don’t need to manually upload files. Plus, you can get a holistic view of your marketing activities and obtain a conversion rate per channel, which is not possible solely in platforms like Adobe Analytics. As a marketer, this can save you hundreds of hours or even more when reporting time comes.

New members get a free 14 day trial on every connector of their choice, so you can always take Supermetrics for a spin. Also, if you enroll in my Supermetrics course (in the “Courses” menu), you get a 20% discount from a Supermetrics subscription via a special promo code (this applies to first-time purchases made from the website ONLY)! If you are not ready to get a premium subscription yet, you can always join my introductory course as a starter!

Introduction to Supermetrics for Data Studio and BigQuery

The post Top 8 Most Useful and Powerful Supermetrics Connectors appeared first on Data Studio.

You are a marketing agency that buys media from a variety of vendors whose buying and reporting systems are different. In some cases, you might even have to receive manual reports via e-mail on a weekly basis, which impacts your reporting cadence and creates extra work for your team. Of course, Data Studio has some incredible native connectors available for free, but they don’t necessarily cover all platforms.

This has been the combined feedback from a lot of people that I have talked to in the industry. Even though there are other automation tools out there, I find Supermetrics to be super (no pun intended) easy to use and affordable, especially for smaller agencies. If you are new to the marketing automation world, here is some addition information about my Introduction to Supermetrics course.

What is Supermetrics?

Supermetrics is a data automation tools, connectors automatically fetch data from multiple platforms (e.g. Twitter Ads, Facebook Ads, Google Analytics and etc.) and pull it into any destination (Google BigQuery, Data Studio, Google Sheets and Excel). It also allows you to set up automatic data refreshes and scheduled emails. This eliminates the need to copy-paste marketing data into a reporting or data visualization platforms.

By the end of the course, you will be able to:

• Pull data directly into your Data Studio report from multiple sources, including Facebook Ads, LinkedIn Company pages and etc.
• Eliminate hours of manual work by scheduling data transfers and automating your marketing reporting.
• Plug into all your BigQuery tables with one data source instance and pulls all that data neatly into Data Studio.
• Get access to 20+ dashboard customizable templates for SEM, paid & organic social media, programmatic advertising, SEO, web analytics, and more.
• Use the Twitter Public Data connector to fetch metrics and dimensions for any public twitter account.

Plus, two quick hands-on projects:

• Project 1: Use the Twitter Public Data connector to fetch metrics and dimensions for any public twitter account and analyze it in Data Studio.
• Project 2: Use the Pinterest Public Connector to fetch data for any account and use a Data Studio parameter to search and add new accounts dynamically.

You can also find the course on Skillshare!

For those of you who the corporate or individual subscription, the course is also available on Skillshare!

BONUS: Once you complete the course, you get a 20% discount from a Supermetrics subscription via a special promo code (this applies to first-time purchases made from the website ONLY)!

If you are new and experimenting with the tool, feel free to message me on LinkedIn. I hope this was helpful, in case you have any questions, feel free to comment or subscribe to my newsletter.

The post Introduction to Supermetrics for Data Studio and BigQuery – Course appeared first on Data Studio.