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.
Capability summary
Authentication
Auth method: OAuth 2.0
Required scopes
read
write
Supported objects
| Object | Read | Write | Notes |
|---|---|---|---|
| No | No | ||
| No | No | ||
| No | No |
Supported actions
| Action | Description |
|---|---|
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.
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.
Double-check that the credentials were copied without extra whitespace, that the credential has not been revoked or expired in Google Analytics, and that you connected to the correct environment (sandbox vs production). Re-issue the credential in Google Analytics and reconnect from Flows360 if the problem persists.
Flows are being throttled or returning 429 errors.
You are hitting Google Analytics's API rate limit. Reduce the frequency of polling triggers, batch updates where possible, and narrow filters so flows only fetch the records they need. Flows360 retries automatically, but sustained high volume may require redesigning the workflow.
Some records or fields are missing from Flows360.
This is almost always a permissions or scope issue. Confirm the credential used by Flows360 has read/write access to the specific objects, records, and fields you expect, then reconnect. Some Google Analytics fields are derived or admin-only and cannot be exposed via API.