How to See All Your GA4 Properties in One Place
GA4 makes you open a separate view for every property you manage. Here are three methods to consolidate your analytics — from free workarounds to purpose-built tools.
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If you manage more than one website, GA4's property-per-view model is one of the more frustrating parts of your analytics workflow. There's no native way to see all your properties on one screen — you open GA4, select one property, look at the numbers, then switch to the next. It's not impossible, but it's slow and it invites missed context.
Here are the main methods to consolidate multiple GA4 properties into a single view, from simplest to most powerful.
Method 1 — Use a Multi-Property Dashboard Tool (Zero Setup)
The fastest path is a tool designed specifically for this. Perch Analytics connects to your Google account, reads every GA4 property you have access to, and displays them all in one dashboard — realtime users, sessions, pageviews, engagement rate, average session duration, and Search Console data side by side. No configuration. No connectors to set up. Sign in with Google and your properties appear.
This approach works best if you want an immediate operational view — checking the health of all your properties each morning, monitoring a campaign across multiple sites, or spotting anomalies before a client notices. The trade-off is that you can't customize the metrics or dimensions shown.
Method 2 — Looker Studio with Multiple GA4 Connectors
Looker Studio (free) lets you create a single report that pulls data from multiple GA4 properties. You add each property as a separate data source, then build charts that reference each one. For a summary view, you can create a blended data source that merges key metrics across properties.
Steps to set it up:
- In Looker Studio, create a new report and add your first GA4 data source.
- Add additional data sources for each additional property via Resource > Manage added data sources.
- Build a page per property with consistent chart layouts, or use the Blend Data feature to merge metrics into a single chart.
- Clone the report template for new clients by using File > Make a copy.
The limitation: Looker Studio data is 24–48 hours behind. You won't see realtime users here. And blended data sources can be complex to configure correctly — dimension mismatches between properties break charts in non-obvious ways.
Method 3 — GA4 Roll-Up Properties
GA4 supports roll-up properties, which aggregate data from multiple source properties into a single property. This is a native GA4 feature — once set up, you can view combined data in the standard GA4 interface as if it were one property.
The catch: roll-up properties are only available on Google Analytics 360(the paid tier, starting at ~$150,000/year). For most teams, this is not a realistic option. It's worth knowing it exists if you ever encounter it in an enterprise context, but it's not a solution for independent consultants or small agencies.
Method 4 — The GA4 Data API with Google Sheets
If you're comfortable with Google Apps Script or the Sheets add-on for GA4, you can pull data from multiple properties into a single spreadsheet automatically. Each property is a separate API query, and you arrange the results in columns or tabs as you like.
This is the most flexible option technically — you can pull any metric or dimension combination — but it requires ongoing maintenance. The GA4 Sheets add-on makes the initial setup easier, but you'll still need to configure refresh schedules, handle authentication, and update the report when properties change. Good for teams with a technical analyst; overkill for everyone else.
Method 5 — BigQuery Export and SQL Queries
GA4 can export event-level data to BigQuery (free to enable on all properties, query costs separate). Once multiple properties are exporting to BigQuery datasets, you can write cross-dataset SQL queries that join or union data from all of them.
This is the most powerful approach — true event-level data, no sampling, any metric combination you can express in SQL. But it requires GCP project management, BigQuery knowledge, and a willingness to pay for query compute. It's the right answer for data engineering teams at enterprise scale. It's not the right answer for a consultant who needs a morning health check across their client portfolio.
Which Method Should You Use?
- Need it working in the next five minutes: Perch Analytics — sign in with Google, done.
- Need branded client reports with custom layouts: Looker Studio with multiple GA4 connectors.
- Need custom event-level analysis across properties: GA4 API + Sheets or BigQuery.
- Have a $150k+ analytics budget: GA4 360 roll-up properties.
For the majority of people reading this — freelancers, small agencies, or multi-product founders — the combination of Perch Analytics for daily monitoring and Looker Studio for client-facing reports covers nearly everything at zero cost. Start there.