Platform Integration
Marketing

Google Analytics

Extract and sync user behavior data from Google Analytics (GA4) to your CRM, data warehouse, or marketing automation platform. Build a unified view of the customer journey by connecting website and app analytics to your operational systems.

Connect Google Analytics to any application

Standardize and sync user behavior data from Google Analytics to any destination. This integration uses the Google Analytics Data API (GA4) to pull raw event data, user properties, audience segments, and conversion metrics. Automate data pipelines to feed your data warehouse, enrich CRM profiles with web activity, and trigger campaigns in marketing automation platforms based on user behavior. Move beyond the GA4 interface to perform advanced analysis, build custom attribution models, and consolidate analytics with data from other channels. Secure, scalable, and built for performance, this connector allows you to treat your web and app analytics as a first-class data source in your stack.

Common use cases

  • Build unified customer profiles with web activity
  • Automate multi-touch attribution modeling
  • Analyze marketing funnel performance across systems
  • Trigger personalized campaigns from user actions
  • Create a consolidated marketing data warehouse

Sync scenarios

  • Sync user behavior data to CRM
  • Pipe conversion events to data warehouses
  • Import audience segments to marketing automation platforms
  • Mirror website traffic metrics in BI tools
  • Extract raw event data for archival and analysis

Objects supported

  • Contact
  • List
  • Campaign
  • Account
  • Property
  • Data Stream
  • Conversion Event
  • Audience
  • Custom Dimension

Actions

  • add_to_list
  • create_campaign
  • list_records
  • campaign_sent
  • run_report
  • run_realtime_report
  • create_conversion_event
  • create_data_stream
  • update_property
  • create_audience

Frequently asked questions

What data can I sync from Google Analytics?

You can pull key objects including events, conversions, audience reports, user properties, and other metrics and dimensions available through the Google Analytics Data API (GA4).

How does this integration connect to Google Analytics?

It uses OAuth 2.0 to securely authenticate and connect to the Google Analytics Data API (for GA4 properties). You grant Flows360 read-only access to the specific GA4 property you want to sync.

Can I sync data to Google Analytics?

This integration is designed to extract data from Google Analytics. To send server-side events or other data to GA4, you can use our Inbound Webhook connector to implement the Measurement Protocol.

  • Auth method: OAuth 2.0
  • Required scopes: 2
  • Supported objects: 3
  • Supported actions: 4

Overview

The Flows360 connector for Google Analytics lets you build reliable, bidirectional integrations between Google Analytics and the other tools your teams rely on every day. Move records, trigger downstream workflows, and keep data consistent across CRMs, ERPs, data warehouses, support desks, and internal apps — without writing or maintaining glue code.

Use this connector to eliminate manual data entry, reduce swivel-chair work between systems, and give every team a complete, real-time view of customers, operations, and pipeline. Flows360 handles authentication, pagination, retries, rate-limit backoff, and schema drift so your integrations stay healthy as Google Analytics evolves.

Setup steps

1. Sign in to Google Analytics

Log in to your Google Analytics account with an administrator user that can create or manage API credentials.

2. Create credentials for Flows360

In the Google Analytics admin area, create a new API key, service account, or OAuth application dedicated to Flows360. Grant it the minimum scopes required to read and write the objects you plan to sync.

3. Copy the credentials

Copy the generated client ID, client secret, API token, or service account key. Treat these values as secrets — they grant access to your Google Analytics data.

4. Connect from Flows360

In Flows360, open Connectors → Google Analytics → Connect. Paste the credentials into the matching fields and (for OAuth) complete the authorization redirect.

5. Test the connection

Run the built-in test in Flows360. A successful test confirms credentials, network access, and the required scopes. You can now use Google Analytics as a source or destination in any flow.

Required scopes

  • read
  • write

Supported objects

  • Record
  • User
  • Activity

Supported actions

  • list_records — Retrieve records from Google Analytics with optional filters.
  • create_record — Create a new record in Google Analytics.
  • update_record — Update an existing record in Google Analytics by its ID.
  • record_changed — Trigger a flow when a record in Google Analytics is created or updated.

Use cases

  • Revenue Operations
  • Customer 360
  • CRM to ERP Sync
  • Marketing Automation

Limitations

  • Throughput is bounded by the Google Analytics API's published rate limits; Flows360 automatically retries with exponential backoff.
  • Computed, derived, or read-only fields in Google Analytics cannot be written to from Flows360.
  • Real-time triggers depend on Google Analytics supporting webhooks; otherwise Flows360 falls back to polling on the schedule you configure.
  • Large historical backfills should be run during off-peak windows to avoid hitting daily API quotas.

Troubleshooting

My Google Analytics connection fails with an authentication error.
Flows are being throttled or returning 429 errors.
Some records or fields are missing from Flows360.

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