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.
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.
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."
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.
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