How to connect Google Analytics and Streamtime
Create a New Scenario to Connect Google Analytics and Streamtime
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Analytics, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Analytics or Streamtime will be your first step. To do this, click "Choose an app," find Google Analytics or Streamtime, and select the appropriate trigger to start the scenario.

Add the Google Analytics Node
Select the Google Analytics node from the app selection panel on the right.

Google Analytics
Configure the Google Analytics
Click on the Google Analytics node to configure it. You can modify the Google Analytics URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Streamtime Node
Next, click the plus (+) icon on the Google Analytics node, select Streamtime from the list of available apps, and choose the action you need from the list of nodes within Streamtime.

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Streamtime
Authenticate Streamtime
Now, click the Streamtime node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Streamtime settings. Authentication allows you to use Streamtime through Latenode.
Configure the Google Analytics and Streamtime Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Analytics and Streamtime Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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AI Anthropic Claude 3
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Streamtime
Trigger on Webhook
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Webhook response
Save and Activate the Scenario
After configuring Google Analytics, Streamtime, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Analytics and Streamtime integration works as expected. Depending on your setup, data should flow between Google Analytics and Streamtime (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Analytics and Streamtime
Google Analytics + Slack + Streamtime: When website traffic from a specific Google Analytics campaign exceeds a defined threshold, a notification is sent to a dedicated Slack channel to alert the project team. The notification includes a link to the Google Analytics report and relevant Streamtime project information.
Streamtime + Google Analytics + Google Sheets: When a Streamtime job is completed, relevant project data from Streamtime and performance metrics from a specified Google Analytics campaign are logged into a designated Google Sheet for weekly performance reporting and analysis.
Google Analytics and Streamtime integration alternatives
About Google Analytics
Automate marketing insights using Google Analytics within Latenode. Track user behavior and trigger actions based on key metrics. Send data to CRMs, databases, or ad platforms automatically. Latenode streamlines analysis workflows without code, offering flexible logic and integrations, unlike manual reporting or limited point solutions.
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About Streamtime
Streamtime project management inside Latenode: automate tasks like invoice creation based on project status, or sync time entries with accounting. Connect Streamtime to other apps via Latenode's visual editor and AI tools. Customize further with JavaScript for complex workflows. Manage projects and data automatically.
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FAQ Google Analytics and Streamtime
How can I connect my Google Analytics account to Streamtime using Latenode?
To connect your Google Analytics account to Streamtime on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Analytics and click on "Connect".
- Authenticate your Google Analytics and Streamtime accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I track campaign performance in Streamtime using Google Analytics data?
Yes, you can! Latenode's visual editor lets you automatically update Streamtime with Google Analytics metrics, offering a unified view of project profitability and marketing ROI.
What types of tasks can I perform by integrating Google Analytics with Streamtime?
Integrating Google Analytics with Streamtime allows you to perform various tasks, including:
- Automatically create Streamtime tasks based on Google Analytics goals.
- Update Streamtime project budgets with Google Analytics conversion data.
- Trigger Streamtime notifications when Google Analytics traffic spikes.
- Generate reports combining website data with project timelines.
- Log Google Analytics events directly into Streamtime project notes.
How secure is my Google Analytics data when using Latenode?
Latenode uses robust encryption and secure authentication protocols to protect your Google Analytics and Streamtime data. Access permissions are fully configurable.
Are there any limitations to the Google Analytics and Streamtime integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Historical data migration from Google Analytics to Streamtime may require custom scripting.
- Real-time data synchronization depends on the API rate limits of both services.
- Complex data transformations may require JavaScript knowledge.