How to Use Looker Studio with Google Analytics

Using Looker Studio with Google Analytics is an excellent way to create customized, interactive dashboards that allow you to visualize and explore your website or app’s data. From my experience, integrating Looker Studio with Google Analytics helps you go beyond the built-in reports, providing more flexibility in data visualization and deeper insights into your digital performance.

Step-by-Step Guide to Using Looker Studio with Google Analytics #

  1. Ensure You Have Access to Google Analytics
    Before you start, make sure you have access to your Google Analytics account. If you don’t already have an account set up, visit Google Analytics and create one. You’ll need to have a property and view set up to pull data into Looker Studio.

  2. Open Looker Studio and Create a New Report
    After logging into Looker Studio, create a new report:

    • Click + Create in the upper-left corner of the main screen.
    • Select Report from the dropdown to start a new report.
  3. Connect Google Analytics to Looker Studio
    To pull data from Google Analytics into Looker Studio, follow these steps:

    • Click Add Data in the toolbar of your report.
    • In the list of connectors, select Google Analytics. If it’s your first time connecting Google Analytics to Looker Studio, you’ll need to authorize access.
    • Sign in with the Google account associated with your Analytics property and allow Looker Studio to access your Google Analytics data.
  4. Select the Correct Analytics Property and View
    After authorization:

    • Choose the correct Google Analytics account and property (e.g., website or app) that you want to analyze.
    • Select the appropriate view (this could be All Website Data or another view you’ve created in Google Analytics for specific segments or filtered data).
  5. Choose Metrics and Dimensions
    Once the connection is established, Looker Studio will present a list of available metrics (e.g., users, sessions, bounce rate) and dimensions (e.g., date, page, traffic source) from your Google Analytics property.

    • Select the dimensions and metrics you want to include in your report. For example, you can choose sessions as a metric and source/medium as a dimension to visualize how much traffic comes from different channels.
    • You can also add calculated fields if you need to perform custom calculations on your data.
  6. Create Visualizations
    With your Google Analytics data connected, you can start creating visualizations:

    • Click Insert in the toolbar and choose the type of chart or table you want to display (e.g., time series, pie chart, bar chart, table).
    • Drag and drop the chart onto the report canvas. The chart will automatically populate with the selected Google Analytics data.
    • Use the Data panel to configure which metrics and dimensions are displayed in each chart. For example, you can create a time series chart to track user sessions over time or a table to list the top-performing pages by traffic.
  7. Customize Your Report Design
    Once your visualizations are in place, you can customize the look and feel of your dashboard:

    • Use the Style panel on the right to change the color, font, borders, and other design aspects of your visualizations.
    • Add text boxes, shapes, or images to enhance the presentation of your report, such as adding a title or branding elements to your dashboard.
    • Arrange the layout to group related visualizations, keeping the dashboard clear and user-friendly.
  8. Add Filters and Controls for Interactivity
    To make your dashboard more interactive, add filter and date range controls:

    • Click Insert and choose Date Range Control to allow users to select the date range for the data they want to view.
    • Add Filter Controls to let users filter the data by dimensions such as traffic source, device type, or location. This interactivity enables users to explore the data in real-time and customize their view without needing to edit the report.
  9. Set Up Automatic Data Refresh
    Looker Studio automatically refreshes Google Analytics data every 12 hours. If you need more frequent updates, you can configure data refresh settings in Looker Studio to pull new data at a frequency that meets your needs. This ensures that your dashboard always displays the latest performance metrics.

  10. Share and Collaborate on the Report
    Once your dashboard is ready, you can share it with colleagues or clients:

  • Click the Share button in the upper-right corner to manage permissions.
  • You can grant view-only access or allow others to edit the report. You can also generate a link or embed the dashboard on a website, enabling easy sharing and collaboration.

Best Practices for Using Google Analytics with Looker Studio #

From my view, it’s important to focus on presenting the most critical metrics and insights without overwhelming your audience. Here are some best practices:

  • Focus on key performance indicators (KPIs): Build your dashboard around KPIs that matter most, such as user engagement, conversion rates, and traffic sources.
  • Simplify the layout: Avoid clutter by limiting the number of charts per page. A clear, organized layout improves the user experience.
  • Use filters and date range controls: Allowing users to interact with the data will make your reports more dynamic and useful.

For further optimization of your dashboards, refer to How to Make Looker Studio Faster, and if you’re just getting started, check out Looker Studio Basics: Getting Started.

Conclusion #

Using Looker Studio with Google Analytics unlocks the ability to build custom dashboards that visualize and analyze website or app performance data in a flexible, user-friendly way. By connecting Google Analytics data and following these steps, you can create interactive reports that provide deeper insights into your digital performance.

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