Connect Twitter Analytics to Google Data Studio with Windsor.ai

Directly connect Twitter Analytics to Google Data Studio, in minutes, and in an easy-to-use format.

data integration

All your marketing data in one place, just in a few clicks.

In just a few clicks, Windsor.ai integrates all of your marketing data. Simply select and authenticate the connectors you want to use. You don’t even need to write a single line of code to connect your data. You can blend and visualize your marketing data in your preferred reporting platform after a few minutes of setup.

Automate and save time.

No more using CSV dumps and spreadsheets to bring together data from different platforms. Windsor.ai automates collecting all marketing data and minimizes time spent on preparing and formatting, saving you a lot of time and boosting the quality of your reports.
Spend less time on manual data loading and spreadsheets. Focus on what matters: Growing your business!
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Use all your data where and when you need it.

We make sure that all the data we integrate is fresh and accessible to marketers, whenever they want. You can push your data from Windsor.ai to a variety of data destinations, including cloud storage services (Google BigQuery, Amazon S3, Azure, Snowflake), data visualization tools (Google Data Studio, Power BI, Tableau), and spreadsheets (Excel, Google Sheets).

About Twitter Analytics

Twitter Analytics is a tool provided by the social media giant Twitter that helps you monitor and analyze the performance of your tweets and Twitter account. This free service provides metrics like tweet impressions, engagement rate, and audience demographics which gives you information like how many people saw your tweets, how much engagement they got, and who your followers are. Twitter Analytics can help you measure the effectiveness of your Twitter marketing efforts by understanding which content is resonating with your audience and help you improve your content marketing.

 

Learn more about Twitter Analytics

About Google Data Studio

Looker Studio or formerly known as Google Data Studio is a data visualization platform that helps businesses convert data into customizable informative reports and dashboards. It provides a simple and intuitive interface for users to create interactive reports and visualizations with their data. Data analysis using Google Data Studio provides businesses with valuable information that they can use to make informed decisions about their operations.

 

Learn more about Google Data Studio

Why integrate Twitter Analytics with Google Data Studio?

  • By connecting Twitter Analytics to Google Data Studio, you can easily create and customize reports and dashboards that display key metrics such as tweet impressions, engagement rate, and audience demographics.

 

  • Google Data Studio can help you merge data from other social media platforms, such as Instagram Insights or TikTok Analytics, to gain a holistic view of your social media marketing efforts. This will allow you to better understand your target audience and improve your decision-making about your social media strategy, and content creation.

 

  • The advanced visualization capabilities of Google Data Studio enable you to extract more insights from your Twitter Analytics data and make changes to your strategy to maximize your return on investment on social media.

 

  • Integrating Twitter Analytics with Google Data Studio eliminates the need to manually collect data and update the reports which shorten the time required for data collection and allow you to spend more time on data analysis.

 

  • The ability to share Google Data Studio dashboards with team members, stakeholders, or clients can help improve collaboration and decision-making within your organization.

About the Twitter Analytics Google Data Studio Connector

The Twitter Analytics Google Data Studio connector pulls metrics and dimensions from Twitter Analytics. The insights are retrieved at the tweet and account levels.

Once the user successfully logs into the connector it’s possible to choose the metrics and dimensions to create a report.

Prerequisites

To set up the connector, the user should have:

How to connect Twitter Analytics to Google Data Studio?

Select the fields on the right to later use in your data source. For example, you can include metrics such as Video Views, Retweet Counts, or User Profile Clicks.

select fields on the right

Go to “Select Destination” and choose Google Data Studio.

Once done, select “connect” and authorize access to your data source.

Windsor.ai Twitter Analytics Google Data Studio connector

Windsor.ai: All your marketing data in one place

Power up your marketing performance with result-driven marketing solutions

  • Connect all your marketing, CRM, and analytics data from 50+ platforms and stream it to any spreadsheet tool, BI platform, or data warehouse.
  • The setup is done in minutes. No coding is required.
  • Currently, we support more than 3000 dimensions and metrics.
  • See the value and return on every marketing touchpoint.
  • Our marketing attribution software platform provides marketers with a 15-44% increase in marketing ROI.

Google Data Studio Templates for Twitter Analytics

Do you plan to connect and visualize Twitter Analytics in Google Data Studio?

These free and customizable Google Data Studio Studio Twitter Analytics templates will assist you in visualizing your data for easy reporting and analysis.

Google Data Studio Tutorials for Twitter Analytics

Would you like to take your Google Data Studio Twitter Analytics dashboards to the next level?

Here are some of our favorite tutorials to help you:

Available Twitter Analytics Metrics and Dimensions

NameTypeDescription
Author IDTEXTUnique identifier of this user. This is returned as a string in order to avoid complications with languages and tools that cannot handle large integers.
ClicksNUMERICNumber of times a user clicks on a URL link or URL preview card in a Tweet organically.
Conversation IDTEXTThe Tweet ID of the original Tweet of the conversation (which includes direct replies, replies of replies).
Created atDATECreation time of the Tweet.
DateDATEThe Date
Impression countNUMERICNumber of times the Tweet has been viewed organically (not in Ad placement).
In reply to user idTEXTIf this Tweet is a Reply, indicates the user ID of the parent Tweet's author. This is returned as a string in order to avoid complications with languages and tools that cannot handle large integers.
LangTEXTLanguage of the Tweet, if detected by Twitter. Returned as a BCP47 language tag.
Like countNUMERICNumber of likes the Tweet has received organically.
Tweet media keyTEXTTweet media key
Tweet media keyTEXTTweet media key
Quartile video views 0NUMERICThe number of users who played through to less than the first quartile in a video from organic contexts. This reflects the number of quartile views across all Tweets in which the given video has been posted.
Quartile video views 100NUMERICThe number of users who played through to fourth quartile in a video from organic contexts. This reflects the number of quartile views across all Tweets in which the given video has been posted.
Quartile video views 25NUMERICThe number of users who played through to first quartile in a video from organic contexts. This reflects the number of quartile views across all Tweets in which the given video has been posted.
Quartile video views 50NUMERICThe number of users who played through to second quartile in a video from organic contexts. This reflects the number of quartile views across all Tweets in which the given video has been posted.
Quartile video views 75NUMERICThe number of users who played through to third quartile in a video from organic contexts. This reflects the number of quartile views across all Tweets in which the given video has been posted.
Reply countNUMERICNumber of replies the Tweet has received organically.
Reply settingsTEXTShows who can reply to this Tweet. Fields returned are `everyone`, `mentionedUsers`, and `following`.
Retweet countNUMERICNumber of times the Tweet has been Retweeted organically.
SourceTEXTThe name of the app the user Tweeted from.
TextTEXTThe content of the Tweet.
Tweet IDTEXTUnique identifier of this Tweet. This is returned as a string in order to avoid complications with languages and tools that cannot handle large integers.
NUMERICNumber of times a user clicks on a URL link or URL preview card in a Tweet organically.
User profile clicksNUMERICNumber of times a user clicks the following portions of a Tweet organically - display name, user name, profile picture.
Video viewsNUMERICA count of how many times the video included in the Tweet has been viewed from organic contexts.