Connect Twitter Ads to Google Data Studio with Windsor.ai
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Google Analytics Twitter Ads integration is an excellent conversion tracking technique. It allows you to measure your ad spend by monitoring people’s actions after seeing or engaging with your Twitter ads.
This step-by-step guide will put you through the process of connecting Twitter Ads to Google Data Studio.
Let’s dive in!
Table of content
Get your data from Twitter ads
Twitter ads Connectors for Google Data studio
Create your Twitter ads Dashboard on Google Data Studio
Twitter Ads metrics & Dimensions
Twitter Ads Report insights
Twitter Ads additional hacks
Conclusion
Get your data from Twitter Ads
Getting access to Twitter ads requires a straightforward process. But first, you must ensure that your account complies with Twitter’s eligibility requirements. You’ll find information about eligibility on the Twitter Ads policies page.
Here are the required steps to getting data from Twitter ads:
Step 1: Create a Twitter Ads account and log in.
You can do this by visiting Twitter.com and logging in with the handle associated with your ads account. When using a multi-user login, make sure you log in with the handle from which you’re managing the ads account.
Step 2: Go to ads.twitter.com.
When using multiple Ads accounts, click on your account name and click “Switch accounts.”
Step 3: Choose the Ads account you want to view.
Now, the ads manager will open, and you can now view and manage your campaigns.
Using Google Sheets and Google data studio
Step 1: Get your data from Twitter
Navigate to Twitter Analytics and click on the ‘more’ button.
Select ‘Analytics’ from the menu that pops up.
In the Analytics Suite, you’ll find a menu with a “Tweets” button. Click on it.
Now, you can view your tweet activity. You’ll find two drop-down menus at the top right corner of your screen. Select the time frame to export and analyze.
Select Export data by day from the following drop-down menu. Remember that you can only export data one month at a time. Analyzing data from multiple months means downloading each month separately.
Step 2: Import your data to Google Sheets
Now, it’s time to make your Twitter data available on Google Data Studio. Google Sheets is an excellent way to do this.
Copy and paste your data on a new spreadsheet in Google Sheets. Combine multiple CSV files into one if you’re analyzing statistics from multiple months.
Step 3: Link Google Data Studio with Google Sheets
Open Google Data Studio and add your Google Sheet as a Data Source. You can do this by clicking the “Create” button.
Once the data source options open up, select Google Sheets.
All your Google Sheets spreadsheets will appear on your screen. Choose the one containing your Twitter data.
Click on the blue “Connect” button.
Step 4: Create a report
The next step is to add your new data source to a report, and you can do it by clicking the blue “Create Report” button. Alternatively, you can exit the current screen and use a template to create a new report.
The first option is your best bet if you don’t have any reports already created. In this case, you’ll have a graph that isn’t very helpful in analyzing data. You can change it by clicking the graph and assessing the “Metric” area on the right side.
Change “Record Count” to a more helpful metric like “impressions.” Add any other metrics you want to analyze.
Step 5: Format your report
Formatting your report makes for more readability, and you can do it by clicking “Chart” and “Table.” Find the “Time Series Chart” by hovering over each graph option and selecting it.
This graph is customizable. In the image above, impressions and engagement are on the same x-axis making engagements hard to view. But you can fix it.
Go to the chart options area and click the chart. Click on “Style” to open the styling options.
Your chart will now be super easy to read!
Twitter Ads connectors for Google Data Studio
Twitter Ads connectors allow you to connect Twitter Ads to Google Data Studio. The only free way to do this is by downloading a CSV, converting it to Google Sheets, and then connecting it to Google Data Studio. Windsor.ai enables seamless Twitter Ads Data Studio integration.
Introduction to Windsor.ai connector
Windsor.ai connector provides access to analytics and ad data from various advertising platforms. The connector exposes over a hundred Metrics and Dimensions. It also enables multi-touch data-driven attributed conversion and revenue data.
Users can easily log into the Windsor.ai connector and select the metrics and dimensions on which they want to create a report. Windsor.ai also gives you access to CRM data, allowing you to monitor offline cancellations or conversions and returns.
Steps to Connect
Step 1: Choose a data source
In this case, your data source will be Twitter Ads. Once selected, you need to Grant Access to Windsor.ai.
Step 2: Select Google Data Studio as your destination
Navigate to “Select Destination” and click Google Data Studio.
Step 3: Connect and authorize access to Twitter Ads
Click on the options on the right and then Google Data studio Destination. Once done, connect and authorize access to your data source.
Create your Twitter Ads Dashboard on Google Data Studio
Once on the Windsor.ai connector, use your Gmail account to sign up and create your Data Studio Dashboard. This way, you can create visualizations and analyze your Twitter ads data on Google Data Studio. Here’s how to go about it.
The first thing to do is connect your data. You’ll need a Twitter Ads connector like Windsor.ai. It offers a 30-day free trial with all features, which means you’ll have more than enough time to explore every possibility.
Winsor.ai comes with templates to help you get started. You can use, adapt, and rebrand these templates to create your Twitter Ads Dashboard. This connector makes integrating and extracting Twitter ads data easy.
Dashboard Overview
The dashboard is where you view your Twitter Ads and contains lots of metrics and information. It provides you with valuable insights into the performance of your content and paid campaigns. You choose what to add to your report on your dashboard and what you shouldn’t.
Your reports and dashboards serve your audience like other marketing initiatives. It helps to consider who you’re reporting to and the types of information that are relevant to them when creating a dashboard.
Steps to create your own charts
Twitter is an excellent social media for multi-purpose content. Insights from Twitter ads go a long way to help you improve engagement with your consumers.
Here are the steps to follow when creating your charts:
Step 1: Open Google Data Studio
The first thing to do is launch the Google Data Studio on edit mode.
Step 2: Add a chart
Navigate to the menu and click Add a Chart or Insert.
Step 3: Select a chart type
You can choose a chart type from many options, including bar charts, scorecards, tables, time series, pie charts, and more. Ensure that the chart is connected with Windsor.ai.
Step 4: Choose a combination of metrics and dimensions
Whatever you choose here will depend on the chart.
Most Important Twitter Ads metrics and their definition
Impressions
Impressions refer to how many times users have viewed your ads. It could be on search results or their feeds.
Clicks
Clicks refer to the number of times users clicked on your ads.
Link clicks
Link clicks refer to how often users clicked the links on your ads.
Click-through rate
The Click-through rate is the ratio of total clicks to total impressions. It reflects the quality of your ads. A high CTR means that your ads are relevant to your audience.
Conversions metrics
Conversions metrics refer to the actions users take after viewing your ads. With conversions, you can tell if your landing page works. The metrics may differ from what you see on Google Analytics.
However, you can get a more comprehensive analysis of your campaigns by comparing data from the conversion metrics and Google Analytics data to see what users do after viewing your ads.
Cost-per-acquisition (CPA)
CPA is the amount you’re paying for the conversions on your website. It provides valuable insights for optimizing your budget. Let’s say you discover a campaign that drives a lot of conversions at a low price. You can choose to spend more money on it or create similar campaigns.
Conversion rate
Conversion rate is the ratio of total conversions to total clicks.
Cost
Cost refers to the total amount you have spent.
Cost-per-click (CPC)
CPC is the amount you pay for each click on your ads. It is the ratio of total spending to total clicks.
Cost-per-impressions (Cost per 1k Impressions – Aka CPM)
CPM is the amount you pay for every thousand impressions. This metric is handy when running a brand awareness campaign.
Twitter Ads metrics and dimensions
Label | Description | Name | Type | Data Type | Tables |
Account Name | The name of the account. | configName | DIMENSION | STRING
|
|
Account ID | Unique identifier of an account | accountId | DIMENSION | STRING
| · Account · tweets · tweets_organic |
Account Status Favorite Count | Indicates approximately how many times Twitter users have liked this status. | status_favorite_count | METRIC | NUMBER
|
|
Account Status Text | The actual text of the status update. | status_text | DIMENSION | STRING |
|
Account Status Retweet Count | The number of times this status has been retweeted. | status_retweet_count | METRIC
| NUMBER |
|
Author ID | The integer representation of the unique identifier for this user. | author_id | DIMENSION | STRING
|
|
All Media | Represents media elements uploaded with the Tweet. | all_media | DIMENSION | STRING
|
|
Date | The dimension that determines how date-based data in a chart is handled. | date_actual | DIMENSION | STRING
|
|
Data Source | Data source title. | dataSource | DIMENSION | STRING
|
|
Data Freshness |
| dataFreshness | DIMENSION | STRING |
|
Date And Time | The dimension that determines how date-based data in a chart is handled (the time dimension). | date | DIMENSION | STRING
|
|
Day Of Week | The dimension that determines how date-based data in a chart is handled. | day_of_week | DIMENSION | STRING
|
|
Day Of Month | The dimension that determines how date-based data in a chart is handled. | day_of_month | DIMENSION | STRING
|
|
Friends Count | The number of users this account is following (AKA their “followings”). Under certain conditions of duress, this field will temporarily indicate 0. | friends_count | METRIC | NUMBER
|
|
Followers Count | The number of followers this account currently has. Under certain conditions of duress, this field will temporarily indicate 0. | followers_count | METRIC | NUMBER
|
|
Hour | The dimension that determines how date-based data in a chart is handled. | hour | DIMENSION | STRING
|
|
Listed Count | The number of public lists that this user is a member of. | listed_count | METRIC | NUMBER
| · account |
Month | The dimension that determines how date-based data in a chart is handled. | month_only | DIMENSION | STRING
|
|
Main Media URL | An http:// URL pointing directly to the uploaded media | file.main_media_url | DIMENSION | STRING | · tweets |
Month Day | The dimension that determines how date-based data in a chart is handled. | month_day | DIMENSION | STRING
|
· tweets_organic |
PMA Is Interpolated? | Used by Power My Analytics to indicate whether lifetime data might be interpolated | isInterpolated |
| BOOLEAN |
|
Name | The name of the user, as they’ve defined it. Not necessarily a person’s name. Typically capped at 50 characters but subject to change. | name | DIMENSION | STRING
|
|
PMA Maximum Cached Data Date | Used by Power My Analytics to indicate maximum cached data date. | MaxDate | DIMENSION | STRING
|
· tweets_organic |
PMA Payment URL | Used by Power My Analytics to provide a URL to activate your account or to see the billing information. | Payment |
| STRING
|
|
PMA Minimum Cached | Data DateUsed by Power My Analytics to indicate minimum cached data date. | MinDate | DIMENSION | STRING
|
|
PMA Trial Status | Used by Power My Analytics to show trial as Active, Expired, or the number of days remaining. | Trial |
| STRING
|
|
PMA Subscription ID | Used by Power My Analytics for billing and user-identification with our support staff. | Subscription |
| STRING
|
|
Statuses Count | The number of Tweets (including retweets) issued by the user. | statuses_count | METRIC | NUMBER |
|
Screen Name | The screen name, handle, or alias that this user identifies themselves with. screen_names are unique but subject to change. | screen_name | DIMENSION | STRING
|
|
Quarter | The dimension that determines how date-based data in a chart is handled. | quarter | DIMENSION | STRING |
|
Tweet ID | The integer representation of the unique identifier for this Tweet. | tweet_id | DIMENSION | STRING |
|
Tweet Retweet Count | The number of times this Tweet has been retweeted. | retweet_count | METRIC | NUMBER
|
|
Tweet Like Count | Indicates approximately how many times this Tweet has been liked by Twitter users. | favorite_count | METRIC | NUMBER
|
|
Tweet Text | The actual Tweet text. | text | DIMENSION | STRING
|
|
User Favourites Count | The number of Tweets this user has liked in the account’s lifetime. British spelling used in the field name for historical reasons. | favourites_count | METRIC | NUMBER
|
|
URL |
| url | DIMENSION | STRING |
|
Week | The dimension that determines how date-based data in a chart is handled. | week | DIMENSION | STRING
|
|
Year Month | The dimension that determines how date-based data in a chart is handled. | month | DIMENSION | STRING |
· tweets_organic |
Year | The dimension that determines how date-based data in a chart is handled. | year | DIMENSION | STRING
|
|
Year Quarter | The dimension that determines how date-based data in a chart is handled. | year_quarter | DIMENSION | STRING
|
|
Year Week | The dimension that determines how date-based data in a chart is handled. | year_week | DIMENSION | STRING
|
|
Twitter Ads report insights
Twitter ads report provides insights such as mentions, profile visits, top tweets, video content performance, conversion tracking, and follower growth. These insights help you improve your ad campaign and get better results.
Let’s elaborate!
Profile visits
You’ll find the number of Twitter profile visits on the top of your analytics dashboard. Your profile visits are measured over 28 days and updated every day. The report tells you how this number compares to the previous 28-day period.
A mini graph displays this data over time. With this data, you can tell if your visitors are increasing or decreasing on your profile. This way, you’ll plan and adjust your tweets as required.
Mentions
Like the profile visits metric, mentions also reflect data for 28 days and over time. This metric also displays your top mention each month, depending on the engagement. You’ll also have access to a link leading to the tweet for additional context.
Top Tweets
Top Tweet and top media Tweet depending on impressions are available each month on your main analytics dashboard. For a more detailed analysis, click on “View Tweet activity.” You’ll see the engagement broken down by profile clicks, link clicks, detail expands, and more.
Follower growth
Your dashboard has a follower section where you can monitor how many people follow you each day and how your following has changed in the last 30 days. Notice the days in which you gained or lost followers.
You can determine why you lost or gained followers on a particular day by checking what you tweeted that day.
Video content performance
If your content strategy involves videos, you can monitor your video views. You’ll also see how users are responding to the videos you post. The video content performance metric lets you know if people watch your videos to completion.
Conversion tracking
Followers can use their mobile phones to engage on your Twitter ads and then convert or buy a product with their laptops. When this happens, conversion tracking will correctly attribute it to your Twitter ad.
With this data, you can measure your return on ad spend. All you need to do is track what people do after viewing or engaging with your Twitter ads.
Twitter Ads report additional hacks
Keep the objectives in mind before providing insights. You want your campaigns to produce results that meet your expectations.
Otherwise, you must consider the segmentation, creatives, or bidding type. Discover any creative that is producing better results in terms of efficiency and/or cost.
Make sure your creative team is engaging with content.
Video metrics are handy when dealing with quartile analysis. Video View Rate (View-through rate) calculated by dividing video views by the Video Ads Impressions, video length, and completion rate are important metrics when running video ads.
To win on Twitter, you must engage your followers. If your engagement is low, you must reevaluate your call to action. Resources such as threads or polls can also help to increase the interaction.
Share your report
Google Data Studio enables seamless sharing of reports to your clients or colleagues. It only takes a few steps. Firstly, you’ll need to click the “Share” button at the top right of your screen.
Once done, add the email address of the person with whom you want to share your report.
Conclusion
Google Data Studio can automatically integrate with many different data sources online. By pulling analytics data from Twitter into Data Studio, you can create helpful social media reports for your business.
The steps to getting Twitter ads data in Google Data Studio are straightforward. You’ll need a powerful connector like Windsor.ai. Once you complete the setup, you’ll have access to helpful Twitter ads insights to improve your business.
Windsor.ai Connector allows seamless Google Data Studio Twitter Ads integration. You’ll track your ad spend and only pay when you achieve your marketing goals. What’s more? Windsor.ai offers a 30-day free trial period with all features, allowing you to explore all the possibilities.
FAQ
How do I add Twitter to my Google Studio?
Firstly, you must create a Windsor.ai account and sign in with your Twitter account. Then authorize Windsor.ai Connector to pull data from your account API and start reporting on Google Data Studio. Once done, you’ll need to choose the data sources to report and pull data.
Mark the options to pull your data and click the “Add” button. That’s all! You can now create scorecards and charts for your Twitter Ads campaigns on Google Data Studio.
How to show Twitter on Google Data Studio
Start by signing up with Google and Twitter Ads. Select the data sources to pull your data. Mark the options to pull your data and click the “Add” button.
You Might also Like to read:
Connect Your Data to Google Data Studio
Data Studio Twitter Ads Overview Report
7 Examples of Google Data Studio Marketing Dashboards for Paid Campaigns
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How do I add Twitter to my Google Studio?
Firstly, you must create a Windsor.ai account and sign in with your Twitter account. Then authorize Windsor.ai Connector to pull data from your account API and start reporting on Google Data Studio. Once done, you’ll need to choose the data sources to report and pull data.
Mark the options to pull your data and click the “Add” button. That’s all! You can now create scorecards and charts for your Twitter Ads campaigns on Google Data Studio.