How to Pull Data from Google Analytics

Cody Schneider10 min read

Getting your performance data out of Google Analytics is the first step toward turning website clicks into tangible business intelligence. Simply looking at the standard dashboards isn't enough, true insight comes from pulling that data into your own environment where you can slice, dice, and combine it with other sources. This guide will walk you through several practical methods for pulling key SEO data from Google Analytics.

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Why Bother Pulling Data from Google Analytics?

You might wonder why you should go through the trouble of exporting data when you can just view it inside the platform. The standard Google Analytics interface is great for a quick glance, but pulling the data unlocks a more powerful level of analysis.

  • Deeper Analysis: Spreadsheets and business intelligence tools offer more advanced formulas, pivot tables, and manipulation capabilities than the GA interface. You can perform calculations that aren't possible within GA itself.
  • Data Blending: Your website traffic is only one piece of the puzzle. To get a full picture of your business performance, you need to combine your analytics data with other sources, such as sales figures from your CRM, ad spend from Facebook Ads, or inventory levels from Shopify.
  • Custom Visualization: While GA4 offers some customization, tools like Google Looker Studio or Power BI allow you to create fully tailored reports and dashboards that highlight the metrics most important to your specific goals.
  • Historical Backup: Having a local or cloud-based copy of your data gives you a historical backup and allows you to perform long-term trend analysis without being subject to potential changes in Google Analytics' data retention policies.
  • Automated Reporting Cadence: For many teams, especially marketing agencies managing SEO clients in a hub like London, a manual Monday morning reporting session is a huge time-sink. Setting up automated data-pulls saves hours of repetitive work.

Key SEO Metrics to Track in Google Analytics

Before you start pulling data, you need to know what you're looking for. A common mistake is to export everything, which leads to overwhelming spreadsheets and no clear direction. Instead, focus on the specific metrics and dimensions that reveal the health of your search engine optimization efforts.

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Important SEO Metrics

Metrics are the quantifiable numbers you’re tracking. They are the "what" in your data story. Here are the essentials for SEO:

  • Users: The number of distinct individuals who visited your site. This helps you understand the overall reach of your content.
  • Sessions: A group of interactions a single user takes within a given timeframe. One user can have multiple sessions. This metric helps gauge the overall volume of traffic.
  • Engaged Sessions: The number of sessions that lasted longer than 10 seconds, had a conversion event, or had at least 2 pageviews. This is GA4's improved replacement for "Bounce Rate" and tells you if traffic is actually interacting with your site.
  • Average Engagement Time: The average time your website was the main focus in the user's browser. It's a strong indicator of how compelling your content is.
  • Conversions: The number of times users completed a desired action, such as a purchase, form submission, or a key event. This is the ultimate measure of your SEO's business impact.

Crucial SEO Dimensions

Dimensions are the attributes of your data - the "who," "where," and "how" that provide context for your metrics. For SEO, focus on these:

  • Landing Page: The first page a user sees when they arrive on your site. Monitoring this dimension tells you which specific pieces of content are most effective at attracting organic traffic.
  • Source / Medium: This dimension tells you where your traffic is coming from. For SEO, you'll want to filter this for "google / organic" or "bing / organic" to isolate search engine traffic.
  • Device Category: Helps you understand whether your users are arriving via desktop, mobile, or tablet. This is essential for ensuring your site provides a good experience for all users.
  • Country / City: If you are a local business, this is your most important dimension. An SEO agency in London, for example, will use this to verify if their campaigns are successfully attracting a local audience rather than irrelevant international traffic.

Method 1: Manual Export from the GA4 Interface

The simplest way to pull data is directly from the Google Analytics reports you're already familiar with. This method is perfect for quick, one-off analyses or when you need a specific data set for a presentation.

  1. Navigate to Your Report: Log in to your GA4 property. From the left-hand navigation, go to Reports > Acquisition > Traffic Acquisition. This report breaks down your sessions by channel.
  2. Adjust the Date Range: In the top-right corner, select the date range you want to analyze (e.g., Last 30 days, This Quarter).
  3. Isolate Organic Search Traffic: To focus solely on SEO, you'll need to filter the report. Click the 'Add filter +' button at the top of the report. Build your filter as follows: Dimension = Session source / medium, Match Type = exactly matches, Value = google / organic. Hit ‘Apply.’
  4. View Landing Pages (Optional but Recommended): The default dimension in this report is 'Session source / medium.' To see which specific pages are driving your SEO traffic, click the drop-down and change the primary dimension to 'Landing page + query string.'
  5. Export the Data: Click the 'Share this report' icon in the upper-right corner (it looks like a box with an arrow pointing out). Then click 'Download File' and choose either 'Download CSV' or 'Download PDF.'

You now have a clean spreadsheet file with your filtered organic landing page performance data, ready for analysis in Excel or Google Sheets.

Method 2: Connect Google Analytics to Google Sheets Directly

If you find yourself manually exporting the same report every week, this method will save you a lot of time. By using the official Google Sheets add-on, you can create reports that automatically refresh with new data directly in your spreadsheet.

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Step-by-Step Guide to the Google Sheets Add-on

  1. Install the Add-on: Open a new Google Sheet. Go to Extensions > Add-ons > Get add-ons. Search for "GA4 Reports Builder for Google Analytics" and install it. You'll need to grant it permission to access your Google account.
  2. Create a New Report: Once installed, go to Extensions > GA4 Reports Builder for Google Analytics™ > Create a new report. A sidebar will open on the right.
  3. Configure the Report: Give your report a name (e.g., "Monthly SEO Landing Pages"). Then, select the Google Analytics account and GA4 property you want to pull data from.
  4. Select Dimensions and Metrics: This is where you tell the add-on what data you need. For a valuable London-focused SEO report, you might choose:
  5. Set the Date Range: You can select a fixed range or use dynamic ranges like "Last 30 days."
  6. Run the Report: Click the 'Create Report' button. The add-on will create a new configuration tab, but the data won't be there yet. To get the data, go back to Extensions > GA4 Reports Builder... > Run reports. A new sheet will be created containing your requested data.
  7. Schedule Automatic Refreshes: The real power is in automation. Go to Extensions > GA4 Reports Builder... > Schedule reports. You can set your report to automatically update every hour, day, week, or month.

This approach moves you from manual, repetitive work to an automated reporting system, freeing you up to spend more time on analysis and strategy.

Method 3: Visualize Your Data in Google Looker Studio

Raw data in a spreadsheet is useful, but well-designed charts and graphs are far more effective for spotting trends and communicating results to stakeholders. Google Looker Studio is a free tool that connects directly to GA4 and lets you build interactive dashboards.

Setting Up Your First GA4 Dashboard in Looker Studio

  1. Visit the Google Looker Studio homepage and start with a 'Blank Report.'
  2. Connect to Your Data: Looker Studio will prompt you to add a data source. In the list of Google Connectors, find and select 'Google Analytics.'
  3. Authorize and Select Property: Grant permission for Looker Studio to access your analytics data. Then, choose your Account and GA4 property from the lists and click 'Add.'
  4. Build a Visualization: Now you can start building. From the menu bar, go to Insert > Table and draw a table shape on your report canvas. With the table selected, you'll see a panel on the right. Here you can add your Dimensions (e.g., Landing Page) and Metrics (e.g., Sessions, Conversions).
  5. Add Controls for Filtering: To make the dashboard interactive, add controls. Go to Insert > Date range control to let users select their own timeframes. You can also add a 'Filter control' sourced from the City dimension, allowing your team to instantly drill down to see performance just for London.

Building a Looker Studio dashboard creates a single source of truth for your team. Instead of emailing spreadsheets, you can share a link to a live dashboard that always shows the most current SEO performance data.

A Practical Example: Analyzing SEO for a London-Based Boutique

Let's tie this all together. Imagine you run a clothing boutique with several physical stores across London and an e-commerce website. You've been creating blog content targeting local search terms like "best independent fashion shops in Covent Garden." You want to see if your SEO efforts are paying off by attracting a local audience.

  1. You start inside the GA4 interface. You go to the Pages and screens report.
  2. You use the search bar to filter the 'Page path and screen class' to only show pages containing "/blog/".
  3. Next, you click the plus sign (+) next to the primary dimension to add a secondary dimension, choosing "City" under the "Geography" section.
  4. Finally, you use the 'Add filter +' option at the top. You set the condition to include City exactly matching "London".
  5. Instantly, the report updates to show you only the blog page data where the visitor was from London. You see that your "Covent Garden" post is driving hundreds of engaged sessions from Londoners each month.

From here, you could export this filtered view to a CSV for further analysis, recreate it in a Google Sheet for automated tracking, or build it into your marketing team's "London SEO Dashboard" in Looker Studio.

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Final Thoughts

Pulling your SEO data out of Google Analytics - whether through a simple manual export, an automated Google Sheet connection, or a dynamic Looker Studio dashboard - is essential for truly understanding your performance. This process moves you from being a passive observer of data to an active analyst who can connect SEO activities to meaningful business outcomes.

Manually wrangling that data week after week across multiple platforms can be a major drain on your time. That’s why we created a faster way with Graphed. Our platform connects directly to all your key data sources, including Google Analytics. Rather than clicking through complicated menus, you simply describe the report you need in plain English. You can ask things like, "Create a dashboard showing my top organic landing pages and their conversion rates in London for the last quarter," and BrandGPT will instantly build a live, shareable dashboard for you, saving you hours of tedious work.

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