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.
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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:
- A valid Twitter account. (Visit our privacy policy and terms of use)
- Google account for Twitter Analytics to Google Data Studio integration.
- A Windsor account. Start your free trial now.
How to connect Twitter Analytics to Google Data Studio?
Step 1: Select Twitter Analytics as a Data Source and grant access to Windsor.ai.
Step 2: Go to “Select Destination” and select Looker Studio as a data destination.
Step 3: Select the fields on the right, and click on Looker Studio destination.
Step 4: Select the connect and authorize access to your data source.
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
| Name | Type | Description |
|---|---|---|
| Author ID | TEXT | Unique identifier of this user. This is returned as a string in order to avoid complications with languages and tools that cannot handle large integers. |
| Clicks | NUMERIC | Number of times a user clicks on a URL link or URL preview card in a Tweet organically. |
| Conversation ID | TEXT | The Tweet ID of the original Tweet of the conversation (which includes direct replies, replies of replies). |
| Created at | TIMESTAMP | Creation time of the Tweet. |
| Date | DATE | The Date |
| Impression count | NUMERIC | Number of times the Tweet has been viewed organically (not in Ad placement). |
| In reply to user id | TEXT | If 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. |
| Lang | TEXT | Language of the Tweet, if detected by Twitter. Returned as a BCP47 language tag. |
| Like count | NUMERIC | Number of likes the Tweet has received organically. |
| Tweet media key | TEXT | Tweet media key |
| Tweet media key | TEXT | Tweet media key |
| Quartile video views 0 | NUMERIC | The 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 100 | NUMERIC | The 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 25 | NUMERIC | The 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 50 | NUMERIC | The 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 75 | NUMERIC | The 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 count | NUMERIC | Number of replies the Tweet has received organically. |
| Reply settings | TEXT | Shows who can reply to this Tweet. Fields returned are `everyone`, `mentionedUsers`, and `following`. |
| Retweet count | NUMERIC | Number of times the Tweet has been Retweeted organically. |
| Source | TEXT | The name of the app the user Tweeted from. |
| Text | TEXT | The content of the Tweet. |
| Tweet ID | TEXT | Unique identifier of this Tweet. This is returned as a string in order to avoid complications with languages and tools that cannot handle large integers. |
| Url link clicks | NUMERIC | Number of times a user clicks on a URL link or URL preview card in a Tweet organically. |
| User profile clicks | NUMERIC | Number of times a user clicks the following portions of a Tweet organically - display name, user name, profile picture. |
| Video views | NUMERIC | A count of how many times the video included in the Tweet has been viewed from organic contexts. |