Supermetrics Google Ads connector moves Google Ads data into reporting tools like Sheets, Excel, BI platforms, and cloud storage—no coding needed.
Vendor
Supermetrics
Company Website

The Supermetrics Google Ads connector is a SaaS solution that enables users to extract, transform, and load Google Ads data into a wide range of analytics and reporting destinations such as Google Sheets, Excel, Looker Studio, Power BI, cloud data warehouses, and storage platforms. It streamlines the process of gathering marketing performance metrics, allowing for automated, customizable, and code-free reporting.
Key Features
Comprehensive Data Extraction Connects directly to Google Ads and pulls over 150 metrics and 612 dimensions.
- Access to granular marketing data like ad spend, impressions, clicks, and more
- Supports deep-dive analysis and broad reporting needs
Multiple Destinations Supported Transfers Google Ads data to various platforms.
- Compatible with Google Sheets, Excel, Looker Studio, Power BI, BigQuery, Snowflake, Amazon S3, and more
- Enables flexible data workflows and storage options
Custom Fields Creation Allows users to define calculated fields without coding.
- Tailor reports to specific business needs
- Simplifies complex calculations and custom metrics
Ready-Made Templates Provides templates for rapid report setup.
- Quick onboarding for new users
- Reduces manual setup time
Automated Data Refresh Supports scheduled data pulls for up-to-date reporting.
- Ensures reports always reflect the latest campaign data
- Minimizes manual intervention
Benefits
Streamlined Reporting Automates the movement of Google Ads data into preferred tools.
- Saves time on manual data exports and imports
- Reduces errors and increases data reliability
Enhanced Marketing Insights Enables comprehensive, customizable reporting.
- Facilitates deeper analysis of campaign performance
- Supports data-driven decision making
Scalable for All Business Sizes Used by thousands of companies globally.
- Serves small teams to large enterprises
- Handles high query volumes efficiently