Twitter Ads to Data Studio (formerly Looker Studio) Integration

Streamline your reporting by automating the Twitter Ads to Data Studio integration with Coupler.io. Send your data to Data Studio and automate data refresh on a schedule to populate your report with the most recent data. Get the latest insights into your ad campaigns with the three simple steps provided below.

Step 1: Collect Twitter Ads data
After having created the importer with the Twitter Ads as a source, set up the corresponding parameters in the form. Select the report type and period for extracting crucial data about your ad performance. Select engagement, billing, video, and other metric groups to include in your report.



Make sure that all the source settings are in place, and proceed to the Transformation tab.

Step 2: Organize & transform data
At this point, Coupler.io displays the extracted data for preview. It is the right time and opportunity to elaborate on your datasets before you export Twitter Ads to Data Studio. Coupler.io offers a number of built-in options for elaborating on data.

• Data filtering
• Data sorting
• Column hiding
• Column rearrangement
• Creation of new columns with custom metric
• Application of mathematical formulas
• Blending data from various sources

Use these functions to ensure the best quality for data before analysis.

Step 3: Load and schedule refresh
To import data from Twitter Ads to Data Studio, authorize the connector and generate a data source by following the in-app instructions. Once you connect your data source, click on the Create Report button.



Go back to Coupler.io to set up an automated data refresh. Have a look at the settings once again, and save the importer. You can run it right away or schedule the execution for later.

Optimize your reporting workflow with automated data collection and export on schedule. Supply your Data Studio dashboards and report with the fresh data regularly. All you have to do is activate the Automatic data refresh option in the Coupler.io importer and select the preferred interval. Thanks to this feature you can bring down the manual effort to zero. Schedule updates for every 15 minutes, 30 minutes, 1 hour, one week, or one month. Set specific days of the week and exact times for the data updates to take place. Such automation boosts the accuracy of your reports and increases the overall efficiency of analysis.