Objective
This SOP outlines the features, benefits, and implementation steps of Google Analytics 360 (GA360), the enterprise version of Google Analytics. GA360 offers enhanced data capabilities, integrations, scalability, and governance tools tailored for large organisations.
Overview
This SOP covers:
- What GA360 is and why it matters
- Key features and enterprise-level benefits
- How to set up subproperties and roll-up properties
- Governance and scalability advantages
- Real-world examples of how large businesses use GA360
What Is Analytics 360?
Google Analytics 360 is the premium, paid version of GA4. It builds on standard Analytics with:
- Higher data limits
- Real-time intraday reporting
- Unsampled reports
- Subproperties and roll-up properties
- Priority support and service-level agreements (SLAs)
- Deep integrations with Google Marketing Platform and CRM tools like Salesforce
Why Use Analytics 360?
GA360 is ideal for enterprises that require more control, scale, and speed. Benefits include:
Enhanced Data Collection & Processing
- Up to 250 custom dimensions, 400 audiences, and 50 key event types
- Real-time streaming and faster data availability
Data Freshness & Unsampled Reports
- Intraday processing: See results within one hour
- Generate unsampled reports, even with large datasets
Enterprise-Level Support
- Dedicated Google support team
- SLAs for data availability and reporting uptime
Governance & Custom Access
- Granular access via subproperties
- Aggregated insights via roll-up properties
Step 1: Control Access with Subproperties
A subproperty is a filtered view of a source GA4 property. It allows you to:
- Restrict data by region, department, or brand
- Grant access only to relevant stakeholders
- Maintain data security and compliance
How to Create a Subproperty
- Navigate to Admin → Create → Property
- Choose Subproperty → Click Create
- Select a source property
- Name the subproperty and configure timezone and currency
- Set filters using AND/OR logic to include/exclude data
- Define industry and business size
- Select use case reasons and click Create
Note:
You can’t create subproperties from other subproperties or roll-ups. Deleting data in a source property also removes it from its subproperties.
Step 2: Aggregate Insights with Roll-Up Properties
A roll-up property aggregates data from multiple GA4 properties into one dashboard.
Use cases:
- Combine data from multiple brands, product lines, or markets
- Centralise KPIs at the parent company level
How to Create a Roll-Up Property
- Go to Admin → Create → Property
- Choose Roll-up Property → Click Create
- Select timezone, currency, and acknowledge associated costs
- Choose up to 200 source properties
- Set business and industry details
- Click Create
Roll-up properties allow analysis at scale, useful for board-level reporting or shared customer journeys across brands.
Real-World Use Cases
Insurance Company (Anders) – Subproperties
- Source property contains all policy data
- Subproperties created for:
- Home Insurance
- Car Insurance
- Life Insurance
- Enables teams to analyze data independently while maintaining a single source
Retail Group (Hiroko) – Roll-up + Subproperties
- Three source properties for:
- Automotive Goods
- Household Goods
- Consumer Electronics
- Roll-up combines data for corporate visibility
- Subproperties used for loyalty rewards tracking across brands
Data Governance with GA360
GA360 supports large-scale data access and compliance needs:
| Feature | Benefit |
| Subproperties | Limit access by data segment or business unit |
| Roll-ups | Combine multiple properties for cross-brand insights |
| Change History | Monitor who edited key configurations |
| User Roles | Control permissions at property or subproperty level |
Advanced Limits for Enterprises
Analytics 360 can scale as you grow your business and your needs become more demanding. Let’s look at some of the limits an Analytics 360 property has vs. a standard property in Google Analytics.
Custom dimensions:
| Types of custom dimension or metric | Standard Analytics property | Analytics 360 property |
| User-scoped custom dimensions | 25 | 100 |
| Event-scoped custom dimensions | 50 | 125 |
| Item-scoped custom dimensions | 10 | 25 |
| Custom metrics | 50 | 125 |
| Calculated metrics | 5 | 50 |
Key events limit
| Standard Analytics property | Analytics 360 property |
| 30 | 50 |
Number of Audiences
| Standard Analytics property | Analytics 360 property |
| 100 | 400 |
Data retention
| Standard Analytics property | Analytics 360 property |
| Up to 14 months | Up to 50 months |
BigQuery daily export limit
| Standard Analytics property | Analytics 360 property |
| 1M events | Billions of events |
When to Upgrade to Analytics 360
Upgrade when your business:
- Handles millions of events per day
- Requires real-time decisions (e.g. eCommerce flash sales)
- Needs cross-brand data unification
- Operates with multiple teams across regions
- Demands unsampled, clean data for BI tools
Has strict data governance or compliance rules