Powerful Looker Studio Connectors for All Your Data
Your most valuable marketing data is scattered across dozens of platforms, from social ads to your CRM. Our suite of Looker Studio connectors eliminates the need for manual CSV exports and unreliable data streams. In just a few clicks, you can pipe all your performance metrics into a single, automated dashboard and finally get a complete picture of your ROI.
Frequently Ask Questions
What is a Looker Studio Connector?
A Looker Studio connector is a bridge that links your external data sources, like Facebook Ads, Shopify, or HubSpot, directly to your Looker Studio reports. Official documentation defines a connector as the component that links Looker Studio to your underlying data, creating what is known as a “data source” within the tool. This technology automates the process of pulling data, allowing you to visualize metrics from non-Google platforms without any programming or manual data entry.
Why do I need a third-party connector if Google offers free ones?
While Google’s native connectors are excellent for its own ecosystem (e.g., Google Analytics 4, Google Ads, Google Sheets), they do not support the vast majority of marketing platforms where you spend your time and budget. Our premium connectors unlock data from the full marketing landscape, including social media, e-commerce, SEO, and CRM tools. Furthermore, they are engineered to provide more reliable, real-time, and unsampled data compared to the potential delays and data sampling found in some free options, ensuring your decisions are based on the most accurate information possible.
How easy is it to set up and use these connectors?
Our connectors are designed for marketing managers, not developers. The setup process is a simple, authenticated, point-and-click experience that typically takes under three minutes. You do not need to understand APIs or write any code. Once connected, your data will automatically refresh in your reports according to the schedule you set, saving you hours of manual work every week. The goal is to make data integration effortless so you can focus on analysis, not data collection.