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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

1

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

2

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

3

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

4

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

5

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

6

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.

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.

  • conversion_attribution_stats: Attributed conversions and revenue compared across DATA_DRIVEN and LAST_CLICK models, with ad spend metrics (cost, clicks, impressions, CPA).

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.

  • ai_traffic_stats: Session acquisition filtered to AI assistant referral traffic (medium = ai-assistant), broken down by source (chatgpt.com, gemini.google.com, etc.).

  • session_acquisition_by_geo_report: Session acquisition report broken down by country, language and campaign.

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, views in list, 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.

  • funnel_tech_report: Funnel steps (event_name) crossed with technical segments (platform, OS version, browser version, screen resolution, device model) to detect conversion drop-offs isolated to a specific technical segment.

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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