Google Analytics 4
Follow our setup guide to connect your Google Analytics 4 connector with QUANTI:
Prebuilt reports and definition
Prerequisites
Before connecting Google Analytics 4 to QUANTI, ensure you have:
Google Account: A valid Google account with access to Google Analytics 4
GA4 Property Access: At least Viewer access to the GA4 property(ies) you want to connect
Active GA4 Property: Your property must have active data collection to retrieve insights
Setup Instructions
Authorize Google Connection
Click on Connect to Google
You will be redirected to Google's authorization page
Log in with your Google account credentials
Review and accept the requested permissions
Click Allow to grant QUANTI access to your Google Analytics 4 data
Connector Information
Connector Name: Define a unique name for your connector
Dataset ID: Specify the BigQuery dataset ID where tables will be created
The dataset will be created automatically if it doesn't exist
Click Next
Configure Connector
Connector Name: Enter a unique name for this connector
Dataset ID: Define the BigQuery dataset ID where data will be stored (must not exist yet, will be created automatically)
Click Next
Select Accounts & Properties
You'll see a list of your accessible GA4 accounts and properties
Select the account(s) and property(ies) you want to connect to QUANTI
You can select multiple properties to track data from different sources
Click Next
Select pre-built reports
Review the available pre-built reports (see section below for details)
All reports are selected by default — you can deselect reports you don't need
You can also create your own custom reports by clicking Add custom report (refer to the Custom reports chapter below)
Click Next
Finish Setup
Define a sync period and a lookback window
Click Save
For the first sync, you have the following options:
Activate auto-sync for recurring syncs based on your sync settings by clicking the switch button
Launch a historical data recovery by choosing your desired dates in the historical data tab
Launch a manual sync immediately by clicking the Sync now button
Wait for the sync to complete
Navigate to your data warehouse to verify that tables are populated
Check the connector dashboard for sync status and any potential errors
Pre-built reports
Dimension Tables (Configuration & History)
accounts: List of accessible Google Analytics 4 accounts with basic information and settings.
conversion_events: List of conversion events configured in GA4 with counting methods.
custom_dimensions: List of custom dimensions configured in GA4 with their scope and parameter names.
google_ads_links: List of Google Ads links configured in GA4 properties.
properties: List of GA4 properties with their configuration settings.
Metric Tables (Reports & Analytics)
Attribution & Campaign Performance
data_driven_key_events_report: Key events attributed to marketing campaigns with data-driven attribution model.
data_driven_transaction_ids: Transaction-level data with data-driven attribution to campaigns.
session_acquisition_report: Session metrics by acquisition source, medium, and campaign.
first_user_acquisition_report: New user metrics by first acquisition source and campaign.
Traffic & Source Analysis
daily_global_report: Daily aggregated statistics across all traffic sources (overview).
daily_source_medium_report: Daily statistics by source/medium combination.
daily_source_medium_campaign_report: Daily statistics by source/medium/campaign combination.
Content & Engagement
events_report: Event-level metrics showing user interactions and key events.
pages_path_report: Page-level metrics by URL path.
pages_screen_name_report: Page/screen metrics by title and name.
unified_screen_class_report: Screen class metrics for mobile apps and web pages.
landing_page_device_report: Daily performance metrics by landing page path and device category (desktop, mobile, tablet). Includes sessions, engaged sessions, total users, screen/page views, event count, key events, total revenue, and session source/medium and campaign ID. Useful for analyzing how entry pages perform across different devices and traffic sources.
E-commerce
ecommerce_item_report: Product-level metrics including views, cart additions, and purchases.
ecommerce_purchase_item_report: Purchase transaction details by item and transaction ID.
Technology & Devices
tech_device_report: User metrics by device category, model, and operating system.
tech_browser_report: User metrics by browser type.
Prebuilt reports and definition
Custom reports
GA4 custom reports let you query any combination of dimensions and metrics from your GA4 property via the Google Analytics Data API.
Find available dimensions and metrics
The reference for all available dimensions and metrics is the official GA4 explorer: 👉 ga-dev-tools.google/ga4/dimensions-metrics-explorer/
The explorer also shows field compatibility — not all dimensions and metrics can be combined in the same query.
Use an AI assistant to speed up the configuration. Rather than browsing the explorer manually, describe the report you want to reproduce — as you see it in the GA4 interface — to an AI assistant (Claude, ChatGPT…). For example:
"I want a custom GA4 report showing sessions, engaged sessions and total revenue by source, medium and device category. What dimensions and metrics should I use in the QUANTI JSON format
{ "dimensions": "", "metrics": "" }?"
The AI will identify the correct API names and fill in the JSON for you.
Configure the custom report
In QUANTI, at the Select pre-built reports step, click Add custom report. Fill in the following JSON:
dimensions(required): Comma-separated list of GA4 dimension API names (e.g."sessionSource,sessionMedium,deviceCategory")metrics(required): Comma-separated list of GA4 metric API names (e.g."sessions,engagedSessions,totalRevenue")
⚠️ The GA4 API limits custom reports to 9 dimensions maximum. Not all dimension/metric combinations are compatible — refer to the explorer to verify compatibility before configuring.
Map your fields (Schema)
After configuring the query, the Schema step lets you define how fields are stored in your data warehouse:
Adjust the Type (STRING, INTEGER, FLOAT…) for each field
Check Unique identifiers to mark dimension fields as part of the primary key — they collectively form the unique identifier of each row
Once all fields are mapped, click Save to create the custom report table.
Notes
Data Refresh: Google Analytics 4 data is typically updated once per day
Historical Limitations: GA4 API has limitations on historical data retrieval. Some metrics may only be available from the property creation date
Sampling: For large datasets, GA4 may apply sampling. QUANTI automatically manages sampling thresholds
API Rate Limits: Google enforces rate limits on API requests. QUANTI automatically manages these limits to ensure reliable data extraction
Data Processing Time: GA4 data can take 24-48 hours to be fully processed after collection
Custom Dimensions: Custom dimensions must be created in GA4 before they can be used in QUANTI queries
Limits
Custom Query Dimensions: The Google Analytics 4 API limits custom queries to 9 dimensions maximum, so choose them carefully
API Quota: Google Analytics 4 API has daily quotas. QUANTI automatically manages these quotas across syncs
Date Range: Historical data availability depends on your GA4 property retention settings (default: 14 months for standard properties)
Troubleshooting
Connection Issues
Verify that your Google account has proper access to the GA4 property
Ensure you've granted all required permissions during authorization
Check that the GA4 property is active and collecting data
Verify that API access is enabled for your GA4 property
Missing Data
Some metrics may not be available for all dimension combinations
Historical data older than your retention period will not be available
Data processing can take 24-48 hours - recent data may be incomplete
Custom dimensions must be configured in GA4 before syncing
Sync Errors
API Quota Exceeded: Wait for quota reset (24 hours) or reduce sync frequency
Invalid Dimension/Metric Combination: Some dimensions and metrics cannot be used together - consult GA4 documentation
Sampling Applied: For very large date ranges, GA4 may apply sampling - consider splitting into smaller date ranges
Need Help?
Contact QUANTI support at support@quanti.io or consult our comprehensive documentation at https://docs.quanti.io
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