ETL Google Ads data with Cloud Dataprep

CATEGORY: Marketing      STATUS: Available


Google Ads is Google's online advertising program.

ETL Google Ads data to your Google BigQuery data warehouse and combine it with business-critical application data such as Salesforce, HubSpot, etc., in seconds. With Google Cloud Dataprep by Trifacta, you can transform, automate, and monitor your Google Ads data pipeline in real-time. No code required.


Join Google Ads data with any data source

Combine datasets from any data source with your Google Ads data. Connect to any Google service - Cloud Dataprep natively integrates with the Google Cloud ecosystem and adheres to the same consumption, invoicing and security principles of Google Cloud. Whether it's joining Google Ads data with your Salesforce CRM data, an Excel or CSV file, or a JSON file, Cloud Dataprep’s visual workflow lets you interactively access, preview, and standardize joined data to the Google Ads schema with ease.

Google Ads Screenshot

Google Ads to your data warehouse in minutes

ETL your Google Ads data to the destination of your choice.


No-code automation for your Google Ads data pipeline

Cloud Dataprep democratizes the ETL process and empowers everyone to easily build data engineering pipelines at scale. With a few simple clicks, automate your data pipeline - Google Ads ETL/ELT with ease. No more tedious manual uploads, resource-intensive transformations, and waiting for scheduled tasks. Deploy and manage your self-service Google Ads data pipeline in minutes not months.

Ensure quality data every time.

No matter how you need to combine and transform Google Ads data, ensure that the end result is high-quality data, every time. Cloud Dataprep automatically surfaces outliers, missing data, and errors and its predictive transformation approach allows you to make the best possible transformations to your data.

Schedule, automate, repeat.

Automate your Google Ads data pipelines with job scheduling so that the right Google Ads data is enriched or structured and in your BigQuery data warehouse when you need it. When new data updates in Google Ads, let your scheduled data pipelines do the work of preparing it for you—no manual intervention required.

Google Ads Screenshot

Maximize the value of your Google Ads data.

Strengthen the insights you get from Google Ads by centralizing your Google Ads data in your Google BigQuery data warehouse, which allows you to enrich it with all sorts of company-wide data. No longer will data generated from Google Ads be isolated from the rest of your company’s critical and interconnected activities; instead, you’ll discover new, unforeseen insights and connect the dots across your company like never before.


"Designer Cloud allows us to quickly view and understand new datasets, and its flexibility supports our data transformation needs. The GUI is nicely designed, so the learning curve is minimal. Our initial data preparation work is now completed in minutes, not hours or days."


Use cases for the Google Ads data connector

  • Sales: Enrich Google Ads data with product data in order to more accurately determine which ad campaigns are driving the most product usage.

  • Finance: Combine Google Ads data with finance data to determine which campaigns have the highest ROI.

  • Marketing: Enrich Google Ads data with additional marketing data to determine the relative success of marketing campaigns.

  • ETL Google Ads data to Amazon Redshift

  • ETL Google Ads data to Google BigQuery

  • ETL Google Ads data to Snowflake

  • ETL Google Ads data to Microsoft SQL Server

  • ETL Google Ads data to MySQL

  • Join Google Ads data with Google Sheets data

  • Prepare Google Ads data for BI tools and data visualization in Tableau

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