How You Can Export Google Analytics Data For Reporting and AI Analysis

Google Analytics collects sessions, events, conversions, traffic sources, and user behavior data across your website and app. The main trouble for marketing and analytics teams is getting that data out of the GA4 interface to build reports, run cross-source analysis, ask AI questions about performance, and more.

With Coupler.io, you get a single tool to automate GA4 data exports to many destinations, including spreadsheets, Data Studio, Power BI, BigQuery, and AI tools like Claude and ChatGPT. Learn how you can build a GA4 export pipeline with a couple of clicks and what bonus assets you obtain to analyze your GA4 information.

How to automate data export from Google Analytics with Coupler.io

Coupler.io is a data integration platform and AI analytics solution with a Google Analytics connector and support for over 420 other sources. It works via data flows where you configure what to collect (metrics and dimensions), apply filters or transformations, and schedule automatic data refreshes. A single data flow can connect to multiple destinations at the same time, so the dataset you send to Google Sheets can also go to Data Studio, BigQuery, or an AI tool without a separate setup.

You don’t have to configure the data flow manually. Describe what you need (“I want to export GA4 data to Google Sheets and track traffic by channel weekly”) in Coupler.io’s AI Agent or in your AI tools connected to Coupler.io, and it will create the setup for you The steps below walk through the manual setup for full control over every option.

Let Coupler AI do the data work for you

Tell Coupler AI what GA4 data you need, where to send it, and how often. It connects your Google Analytics account, sets up the data flow, applies the needed transformation, and keeps it refreshed for reporting and analysis.

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If you’re setting up a GA4 export for the first time and want to understand how each option works, the steps below walk through the full configuration.

To get started, select the destination you need in the form below and click Proceed. You’ll be offered to create a Coupler.io account for free with no credit card required.

After that, you only need to complete 3 simple steps:

Step 1. Collect data

• Connect your Google account, and select the properties available in your account. You can choose multiple properties to export data. 
• Then specify the report period: start and end dates.
• The last thing to do is to choose up to 10 metrics and up to 9 dimensions for your report.

You can add more sources to the same data flow. Coupler.io has 420+ connectors, so if your GA4 analysis needs context from Google Ads spend, Search Console rankings, or HubSpot deals, you pull everything into one place and combine it in the next step.

Step 2. Organize data set

Before the data reaches your destinations, you can organize it to match your reporting or analysis needs. This is also where you control what any AI tool will see later. Coupler.io allows you to:

• Manage columns, including editing, hiding, reordering, etc.
• Filter and sort data
• Add new columns using calculation formulas
• Aggregate data in specific columns by performing operations like sum, average, count, and others
• Combine data if you’ve connected multiple GA4 accounts, different applications, and sources

Tip: If you plan to use AI for analysis, add business context to your data flow. GA4 dimensions and metrics have specific meanings that affect how AI interprets them. For example, “sessions” counts server-side while “engaged sessions” applies a 10-second threshold, and “key events” replaced what GA4 used to call “conversions.” Defining what these mean in your business (which key events matter, how your team defines engagement, what your UTM conventions are) helps AI give more relevant answers. You can add this context in Coupler.io’s data set context window.

Step 3. Load data and schedule refresh

The final step is to configure your destinations and specify where to load data. You can add multiple destinations within the same data flow. GA4 data can be loaded to Google Sheets for quick sharing, Data Studio to visualize website performance in a dashboard, and an AI tool for conversational analysis, all from the same source connection.

• For spreadsheets (Google Sheets or Excel) — connect the app account and select a spreadsheet and a sheet.
• For data warehouses (BigQuery, Redshift, PostgreSQL, Snowflake) — connect the project/database and specify/create a dataset and table.
• For BI tools (Data Studio, Power BI, Tableau) the process is different since you’re creating a data source there. Follow the in-app instructions to complete this step.
• For AI tools — follow the in-app instructions to connect GA to ChatGPT, Claude, Gemini, and other LLMs or AI agents.

To finalize your Google Analytics 4 integration, enable Automatic data refresh and set a schedule to automate exports of Google Analytics data.

Automate Google Analytics data exports with Coupler.io

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Analyze your GA4 data with Coupler AI

Coupler.io not only lets you export GA4 data but also provides capabilities for AI analytics: ask questions directly inside Coupler.io or connect the data to an external AI tool.

Ask questions in Coupler.io’s AI Agent

AI Agent is built into Coupler.io. You type a question in plain English, and the Analytical Engine runs the calculation against your GA4 dataset first. The AI receives computed results, not raw event logs, which reduces the risk of hallucinated numbers. No extra setup needed — it works with any data flow you’ve already configured.

A few questions worth trying with your GA4 data:

• Which traffic sources brought the most new users last month, and what was their average engagement time compared to returning visitors?
• Show me the top 10 landing pages by key event completion rate. Are any of them declining week over week?
• What percentage of my total sessions came from AI referral sources (ChatGPT, Perplexity, Claude) last week? How does their bounce rate compare to organic search?
• Break down conversions by device category for the last 90 days. Where is mobile underperforming desktop, and by how much?
• Compare this month’s traffic from paid channels to the same period last year. Flag any channels where spend increased but conversions dropped.

Coupler.io’s AI Skills library includes a marketing-analytics skill built for web analytics data. It already knows the common breakdowns, metric definitions, and the questions marketing teams typically ask about GA4 data. Instead of writing prompts from scratch every time, pick the skill and let it structure the analysis for you.

Connect GA4 data to Claude, ChatGPT, or another AI tool

If your team already works in Claude, ChatGPT, Gemini, or Perplexity, AI Integrations connect your Coupler.io data flow to those tools so you can have the same kind of conversation there. The data stays structured and refreshed on your schedule. The Google Analytics MCP by Coupler.io handles the connection under the hood, but you never interact with that infrastructure directly.

What about data safety?

GA4 data is aggregated analytics. There’s no personally identifiable information in the dimensions and metrics Coupler.io pulls. That said, the filters and column settings you configured when organizing your data set determine exactly what any AI tool can access. If you included test properties alongside production, or left internal traffic unfiltered, go back and adjust the scope before connecting an AI destination. AI works with the dataset you approved, not with your Google Analytics account directly.

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Export GA4 data and turn it into reports with ready-to-use templates

Exporting GA4 data is the first step since the value comes from what you do with it. Along with GA4 data export and AI analysis, Coupler.io provides ready-to-use dashboard templates that turn your GA4 data into visual reports without building anything from scratch. The GA4 report templates come with a built-in Google Analytics connector, so you connect your GA4 account and get a working report in minutes. Here are some use case you can cover with the GA4 dashboards by Coupler.io.

Monitor overall website performance

You need a single view of how your website is doing to see traffic volume, where visitors come from, how they behave, and whether they complete the events that matter. The web analytics dashboard pulls GA4 data into a one-page layout where you can compare acquisition channels by volume and engagement quality, track key event completion rates, and identify your strongest geographic markets.

The Google Analytics 4 dashboard template is available in Coupler.io, Google Sheets, Data Studio, Power BI, and Tableau. Choose the version that fits your reporting needs and try it right away for free!

Web analytics dashboard in Coupler.io

Web analytics dashboard in Looker Studio

Web analytics dashboard in Tableau

Web analytics dashboard in Power BI

Web analytics dashboard in Google Sheets

Compare traffic across multiple GA4 properties

When you manage several websites or apps under separate GA4 properties, checking each one individually is slow. This dashboard collects data from multiple properties and shows sessions, new users, conversions, and other traffic metrics side by side. Connect your GA4 account, select the properties you want to track, and the report populates automatically with scheduled refresh.

Evaluate landing page effectiveness

Your landing pages get traffic, but do they convert? This dashboard combines data from two sources: Google Search Console and Google Analytics 4. This combination shows how each page performs from impression to purchase. GSC metrics cover impressions, clicks, average position, and CTR. GA4 metrics add new users, sessions, key events, bounce rate, session duration, ecommerce purchases, and revenue.

The dashboard lets you monitor how much traffic your landing pages receive and how this results in purchases. Since the data is coming from two sources, you have two sets of performance metrics:

GSC performance metrics	GA4 performance metrics
– Impressions – Clicks – Average position – CTR	– New users – Sessions – Key events – Bounce rate – Average session duration – Ecommerce purchases – Purchase revenue

The GA4 dashboard template is available in Coupler.io, Data Studio, and Google Sheets. Simply connect the Google account that you use for Google Analytics 4 and Search Console, and the dashboard will be populated with your data. 

Landing page performance dashboard

Landing page performance dashboard in Google Sheets

Landing page performance dashboard in Looker Studio

Track key event conversions

You want to know which key events (purchases, sign-ups, downloads) are happening, which traffic sources drive them, and how conversion trends change over time. This GA4 key event insights dashboard breaks down key event completions by channel, device, and location, so you can see where your highest-value users come from and where conversion rates are slipping.

The GA4 key event insights dashboard is available in Data Studio and has a built-in Coupler.io connector, so your reports are always up-to-date with the latest data.

Measure YouTube’s impact on website traffic

If you run both a website and a YouTube channel, you need to know whether your videos actually bring visitors to your pages and whether those visitors convert. This dashboard tracks how many users each video sends to your website, how many purchases they generate, and the revenue that follows.

The template is available in Data Studio and Google Sheets. Both versions are equipped with the Coupler.io connector to automate data load from GA4. Try it right away for free!

Website traffic from YouTube dashboard in Google Sheets

Website traffic from YouTube dashboard in Looker Studio

Understand how AI tools drive traffic to your site

AI tools like ChatGPT, Claude, and Perplexity are becoming a new traffic source. In the AI traffic analytics dashboard, you can see which AI platforms send the most visitors, how those visitors engage compared to other channels, and whether AI-driven traffic converts. Use it to decide how much attention AI referral traffic deserves in your content strategy.

The dashboard is available in Coupler.io, as well as a template in Google Sheets and Data Studio. Use the instructions to automate data load from GA4 using the Coupler.io connector and enjoy the live dashboard.

AI traffic analytics dashboard

AI traffic performance dashboard in Google Sheets

AI traffic performance dashboard in Looker Studio

Decide between SEO and AEO investment

As AI tools change how users discover content, you need data to decide whether to shift resources from traditional SEO to Answer Engine Optimization. Use the dashboard to put AI traffic and organic traffic side by side: sessions, engagement, conversions, and revenue. The comparison shows which source delivers better ROI for your content efforts.

The AI traffic vs. Organic traffic dashboard is available as a Google Data Studio template and automatically pulls comparative data from GA4 using the Coupler.io connector.

Other ways to load data from Google Analytics

Coupler.io handles automated Google Analytics data export to any destination with scheduled refresh, data transformations, predesigned dashboards, and AI analysis built in. Still, it may not be your first choice if your reporting tasks are different

• For a one-time report snapshot to share with a colleague, the GA4 interface lets you download it as a PDF, CSV, or Google Sheets file.
• Teams that need raw, unmodeled event data for SQL queries or long-term backup can use Google’s native BigQuery export, which streams everything without sampling.
• Google also offers an MCP server for connecting GA4 data directly to AI tools without a middleman

Here is what to expect from each method:

Manual export from the GA4 interface gives you a file you can share or archive. You pick a standard or exploration report, download it, and that’s it. There is no scheduling, no transformation, and the data is a snapshot of that moment. It works for ad hoc requests (“send me last month’s traffic breakdown”) but not for anything recurring.

BigQuery Links (also called BigQuery export) streams raw event-level data from your GA4 property into a BigQuery table on a daily or near-real-time basis. Unlike Coupler.io or the GA4 UI, this export contains observed events only without modeling, sampling, thresholding, etc. Numbers will be lower than what you see in the GA4 interface, which is expected. This method suits teams with SQL skills who need unprocessed data for custom queries, attribution modeling, or long-term storage.

Google Analytics MCP server is Google’s native option for connecting GA4 data to AI tools like Claude, ChatGPT, or Gemini. It queries your GA4 property directly, so there’s no intermediary data layer. The trade-off is setup complexity, as the use of Google Analytics MCP requires technical skills to set up a command-line configuration, admin-level GA4 access, ongoing maintenance, etc. It also only covers GA4 data, so if you need to blend GA4 with other sources in the same AI conversation, you’ll need a separate solution. For a detailed comparison of this approach against Coupler AI, see how to analyze GA4 with AI.

How to export Google Analytics data manually from UI

Google Analytics 4 provides multiple reports for acquisition, engagement, monetization, and so on. To export reports, you need to find the Share this report button.

It will expand two options: 

• Share Link – you can share the report with the users that have access to your property.
• Download File – you can export the report in different formats, such as PDF, CSV, or Google Sheets.

So, click Download File and pick the desired file format. For CSV and PDF, your file will be downloaded to your computer. For Google Sheets, it will open in a new tab. 

Export exploration reports in GA4

For most of the reports that are not an overview, you will see the Export this report to analysis button next to the one for sharing it.

If you click it, your report won’t be downloaded or exported outside of Google Analytics. Instead, this will create a new exploration report that you can customize by adding metrics, dimensions, visualizations, etc. 

This report can later be exported. You need to click the Export data button and select the desired file format. 

Keep in mind that exploration reports may contain several tabs, and you need to export each tab separately. Except for the case when you select PDF (all tabs).

What standard reports you can and cannot export from Google Analytics

Report	Exportable
Reports snapshot	?
Realtime overview	?
Realtime pages	?
Lifecycle reports
Acquisition reports	?
Engagement reports	?
Monetization reports	?
Retention report	?
User reports
User attributes reports	?
Tech reports	?
Games reporting
Acquisition report	?
Retention report	?
Engagement reports	?
Monetization report	?
Other GA4 reports
App developer	?
Search console	?

How to export data from GA4 with BigQuery Links 

Google Analytics 4 offers a straightforward way to export your data to BigQuery for backup and analytics. It’s called BigQuery Links or BigQuery Export and is accessible via the GA4 UI. 

It’s not a scheduled or on-demand export of GA4 to BigQuery. With this method, you activate the daily stream of data from the analytics platform to the data warehouse. As a result, you get all data from your GA property to a separate table in BQ. 

To connect GA4 to BigQuery using BigQuery Links, make sure that:

• You’re logged into a GA account with Owner access to the relevant BigQuery project.
• Your GA account has Editor-level or higher access to the property whose data you wish to export.

• Then, in your GA4 account, click the Admin gear icon at the bottom-left corner.

• Scroll down to the Product Links section and select BigQuery Links.

• Click the Link button on the right. Next, select the BigQuery project where you want to export the data, tick the box for the chosen project, and confirm your selection.

• Specify the Data location and click Next. Then decide which data streams to include in the export and identify any specific events to exclude.

• To exclude events, click Add and select from existing ones. Alternatively, choose Specify event by name to exclude events by name or preemptively define event names not yet collected.

Once you’ve configured the streams and exclusions, click Apply in the top right and proceed to choose the export type for event data:

• Daily Export: Transfers all data from the previous day, typically in the afternoon or the following day. A table named events_YYYYMMDD is generated. This option is useful for complex queries like user attribution.
• Streaming Export: Provides near real-time data (updated within minutes) in a table named events_intraday_YYYYMMDD. The intraday table is deleted once the daily table is complete. Streaming isn’t ideal for queries targeting specific dates due to its exclusions (e.g., new user/session traffic source data).

For Analytics 360 users, there is one more option available – Fresh Daily Export. It offers faster updates, with data usually available by 5 a.m. and further updates arriving throughout the day.

Click Next to review the configuration details, then press Submit to finalize the setup. Once completed, your BigQuery link will be active, and GA4 data will start exporting according to your selected settings.

Note on data differences: BigQuery Links exports raw observed events only. This means your BigQuery numbers will typically be lower than what you see in the GA4 interface, especially if your audience uses ad blockers or declines tracking consent. That’s expected behavior, not a bug. The GA4 UI shows modeled estimates that account for unobserved users. Coupler.io pulls from the same modeled pipeline via the GA4 Data API, so its numbers stay closer to the UI. BigQuery is the most accurate source for raw event counts, while Coupler.io and the GA4 UI are better suited for trend analysis and cross-source reporting.

Google Analytics export FAQs

Can Google Analytics export all data?

If you use Coupler.io for data export, you need to select metrics and dimensions to include in your custom report. The manual export from GA4 only allows you to export reports. And is it possible to export all the data from Google Analytics? Yes, if your data destination is BigQuery.  

GA4 provides a direct connection to this data warehouse – BigQuery links also known as BigQuery Export. You can find it under the Product links section of the Admin panel.

To use it, you need a BigQuery project with the BigQuery API enabled. You can learn more about this and the steps to complete the connection in our article about data export from Google Analytics to BigQuery. 

Can you still export data from Google Analytics Universal?

Unfortunately, you can’t. July 1, 2024, was the last day you had access to Universal Analytics data in the interface, API, and through the advertiser, publisher, or other product integrations. So, if you haven’t downloaded your data before this deadline, you’ve lost it.  

Google Analytics Universal stopped processing new data. The new king, Google Analytics 4, has ascended to the throne. 

Where you can export data from Google Analytics

Spreadsheet apps

Exporting data to spreadsheet apps is a good option to quickly share insights from GA4 with your teammates or other stakeholders.

Options for export

• Coupler.io supports Google Sheets and Microsoft Excel as destinations. You won’t need to download or upload the files. Just select the desired files on GDrive or OneDrive and automate data refresh with a few clicks.
• Alternatively, you can manually export GA4 data to Google Sheets or download it as a CSV file to your computer.

Data warehouses

Exporting GA4 data to a data warehouse allows you to back up and centralize your analytics data. This option is good for advanced analysis and integration with other business tools.

Options for export

• Google Analytics can be natively integrated with BigQuery for daily streaming.
• With Coupler.io, you can customize exports to BigQuery. This includes the selection of metrics/dimensions, filtering & sorting, aggregation, and merging data with information from other sources. Moreover, the supported data warehouses include BigQuery, Amazon Redshift, Snowflake and PostgreSQL. You can automate exports of Google Analytics data to any of these destinations without coding.

BI tools

Loading GA4 to a BI tool is required for creating custom reports and dashboards such as Google Analytics reports for clients in Data Studio.

Options for export

With Coupler.io, you can connect GA4 to a few data visualization tools including Data Studio, Power BI, Tableau, and Qlik. This option works well for advanced data reporting since you can create interactive dashboards based on GA4 data. Moreover, Coupler.io provides white-label dashboard templates, some of which we’ve introduced earlier in the article.

Learn more how to connect Google Analytics 4 to Tableau.

AI tools

Coupler.io connects your GA4 data to AI tools like Claude, ChatGPT, Gemini, and Perplexity through AI Integrations. Once connected, you can ask questions about your traffic, conversions, and audience behavior in plain language. The data refreshes on your schedule, so the AI always works with an up-to-date dataset.

Other destinations

Coupler.io also allows you to export your GA4 data as a cloud-based JSON file. This way, you can share your information in JSON format, which can be used for other apps.

The last available destination option is Monday.com. Connect your GA4 account to it if you want to automate data exports to this project management platform.

Is it worth using Google Analytics API for exporting data?

Let me be honest. Yes, Google Analytics provides the API for exporting data. If you’re a seasoned data analyst or software engineer, you’d probably have no issues with creating and maintaining a custom GA4 integration. On the other hand, were you one of these persons, you’d unlikely read my words here now ?

If you have the resources to create an integration that will load data from Google Analytics to your destination, I’m happy for you. 

If you don’t, I can only advise you to try Coupler.io. It rests on the Google Analytics API but no coding is involved. You only need to connect your account, select the metrics & dimensions, and specify where to export data from GA4. It supports multiple destinations and lets you connect Google Analytics 4 with Looker Studio, Power BI, Google Sheets, and more.

And that’s not all. Having this data integration and AI analytics tool means that you can create cross-app reports. For instance, export data from Google Search Console and join it with information from GA4 to create a self-updating SEO performance report. Put your doubts aside and get started with Coupler.io for free.

Automate GA4 data export with Coupler.io

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Article by

Ivan Burban

Head of Marketing at Coupler.io with over 12 years of experience in digital marketing, SEO, and product management. All these years I've been helping SaaS businesses such as Stripo and Skylum grow fast and build proper workflows to increase company revenue. I believe that marketing is the first driver in business growth, and I'm happy to share my knowledge to help you grow from zero to unicorn status fast.