To Import Google Analytics 4 data to Google Sheets, download the Google Analytics 4 to Sheets add-on, connect your Google account, select properties and views, metrics, dimensions (or breakdowns), and date ranges, and schedule hourly, daily, or weekly data refreshes to monitor your website and marketing performance.
By the end of the tutorial, you’ll know:
- 2 free and paid ways to connect Google Analytics 4 to Google Sheets
- Schedule automatic data refreshes
- Free Google Analytics 4 report templates for Sheets
- Customize your Google Analytics 4 reports on Google Sheets
- Available Google Analytics 4 metrics and dimensions
Free and paid ways to import Google Analytics 4 to Google Sheets
Google Analytics 4 add-on for Google Sheets
To import Google Analytics 4 data to Google Sheets automatically, follow these steps:
Step 1: Install the Google Analytics 4 to Google Sheets add-on and open a new sheet.
Step 2: Go to Extensions – Porter Metrics – Launch.
Step 3: Choose the Google Analytics 4 integration and connect your Google account. Porter will bring all the website views associated to it.
Optionally, connect multiple Google accounts to retrieve other website views’ data yours doesn’t have access to.
Step 4: name your query so you can save it for later and schedule automatic data refreshes.
For this example, we’ll call the query “Campaign performance”.
Step 5: Choose the Google account and the Google Analytics 4 account(s) you’ll import to your report.
The Porter Metrics add-on lets you pull and combine data from multiple Google Analytics 4 accounts in a single query, quite useful for agency client monitoring or companies that manage multiple brands in different website views.
Step 6: For the settings, choose a Google Analytics property, account, and view.
Step 7: set a dynamic or fixed date range for your report.
Dynamic date ranges refer to “Yesterday”, “Last month”, “This week” that will vary based on the current date; fixed date ranges are about defining a specific start and end date.
Step 8: Choose metrics and dimensions.
Metrics refer to the numbers. Dimensions are the way we can break down our data (by).
As metrics, select Users, Sessions, Event count.
As a dimension, break down by dates, Page Title, Full Page URL, or Source.
Access all the Google Analytics 4 metrics and dimensions available and suggested Google Analytics 4 KPIs.
Click on Create report and wait some seconds to load your data on the selected cell.
Downloading CSV files from the Google Analytics 4 manager
To import your Google Analytics 4 data to Google Sheets (free forever), download your Google Analytics 4 data as a CSV file from the Ads Manager and upload the CSV on Google Sheets.
However, this process is manual and you’ll need to repeat it every time you need a new query.
Schedule automatic data refreshes
Scheduling data refreshes on Google Sheets let you have your data automatically updated so you can monitor your Google Analytics 4 data hourly, daily, weekly, and monthly.
Go to your saved queries and go to options – Schedule.
Enable or disable your schedule to turn on and off the automation.
Set a refresh frequency (e.g. Daily).
Set a start date (e.g. Now or Tomorrow at the same time).
Choose an option to refresh your data.
- Replace previous import: new data overwrites old data.
- Append to import: new data will display in rows underneath the current data, useful to log and store historical data.
- Create a new sheet for every refresh: create a new Google Spreadsheet for every single query refreshed.
Free Google Analytics 4 report templates for Sheets
Some Google Analytics 4 templates for Google Sheets include:
- Google Analytics 4 monthly report template (Soon)
- Budget and pacing monitoring template (Soon)
- Google Analytics 4 campaign monitoring template (Soon)
- Marketing goal tracker (Soon)
- Internal client monitoring report for agencies (Soon)
Google Sheets templates help you speed up your marketing reports setup.
To download a Google Sheet template, go to File – Marke a copy, and name the new copy.
To use them, notice first that the templates have two types of sheets: backend and frontend sheets.
Backend sheets contain the raw data that you can import and automatically refresh
with the Google Analytics 4 to Sheets add-on. It’s like the database.
To sync your data correctly and keep consistency, make sure to create the query from the first cell (A1) that matches the metrics and dimensions suggested in the template.
Frontend sheets contain the user interface with the dashboards, charts, and text, meant to be accessed by your team or clients.
Just like in software, frontend sheets are fed by the backend sheets.
If you update your frontend sheets, make sure to keep the cells with the formulas calling up the backend sheets data to avoid breaking your report.
Customize your Google Analytics 4 reports on Google Sheets
We’ll share some tips to make your Google Analytics 4 data more useful for marketing data analysis.
Set alerts and notifications
Send notifications to your team via email or Slack when data updates for daily, weekly summaries.
With the refresh scheduling feature, you can automatically update your Google Sheets with your latest Google Analytics 4 data.
Then, use Zapier or Make and trigger a new automation every time a Google Sheets row is updated or created, and send its data to Slack or via email.
Suggested tutorials:
- Automatically send a Slack message for new Google Sheets activity.
- How to send an email when updates are made to Google Sheets rows.
Visualize Google Sheets data on other tools
Once your data is on Google Sheets, you can quickly connect it to other tools for further analysis and better reporting and presentations:
Data Visualization and Business Intelligence:
Best for client and team dashboards and reports or performance monitoring.
Data presentations and slides:
Best for weekly/monthly team or client presentations.
Data warehouses (for dev teams):
Best for engineering teams to centralize companies’ data.
Track Google Analytics 4 goals
Add context to your data by comparing it against goals or using conditional formats.
Suggested tutorials:
- How-To: Conditional Formatting Based on Another Cell in Google Sheets
- How to use conditional formatting in Google Sheets
For Google Analytics 4, common use cases of goal tracking include:
- Ad pacing monitoring
- Agency client overview
- CPA monitoring + markups or commissions
- Campaign performance
- Cross-channel paid media analysis
Goals will help you add context to your data so your team and clients are aligned and they can tell if your marketing performance is good.
Google Analytics 4 metrics and dimensions
As reference, see the Google Analytcs 4 fields list and suggestions for choosing GA4 KPIs.
The Google Analytics 4 connector for Google Looker Studio offers all the +200 metrics and dimensions available on the Google Analytics API, including all custom events and conversions.
Google Analytics 4 dimensions
To monitor your Google Analytics 4 performance, break down your data by dimensions.
The most common ways to break down your marketing data are by:
- Over time: for hourly, daily, weekly, monthly, quarterly, and annual reporting
- Account: break down by client, if you’re an agency, or by product, if you’re a business.
- Channel: channels correspond to the acquisition sources or mediums (SEO, ads, Facebook, etc) you get traffic and conversion from.
- Campaign: campaigns refer to a set of activities to sell products by defining a specific objective, offer, target audience, and content.
- Objective: break down your marketing efforts by funnel stage or objective, such as awareness, engagement, and conversion.
- Audience: to know to whom you’re marketing, you may break down data by geographic, demographics, and tech dimensions, such as city, gender, age, device, platform.
- Content: to analyze by best-performing post, article, creative, etc.
For analyzing Google Analytics 4 data with breakdowns, some popular use cases are:
- Acquisition reports: break down your data by source, medium, campaign (aka UTM parameters) to understand where traffic comes from
- Audience reports: break down your data by city, technology, and demographics to know who’s visiting your website.
- Content reports: break down your data by pages and folders to know how users are engaging with your website.
- E-commerce: break down by products or brands and use e-commerce metrics to report your online sales.
