Google Analytics and CloudTalk Integration

90% cheaper with Latenode

AI agent that builds your workflows for you

Hundreds of apps to connect

Enrich CloudTalk call data with Google Analytics insights. Build custom reports that tie marketing campaigns directly to call outcomes, scaling affordably in Latenode with pay-by-execution pricing.

Swap Apps

Google Analytics

CloudTalk

Step 1: Choose a Trigger

Step 2: Choose an Action

When this happens...

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Do this.

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Try it now

No credit card needed

Without restriction

How to connect Google Analytics and CloudTalk

Create a New Scenario to Connect Google Analytics and CloudTalk

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 CloudTalk will be your first step. To do this, click "Choose an app," find Google Analytics or CloudTalk, 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.

+
1

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.

+
1

Google Analytics

Node type

#1 Google Analytics

/

Name

Untitled

Connection *

Select

Map

Connect Google Analytics

Sign In

Run node once

Add the CloudTalk Node

Next, click the plus (+) icon on the Google Analytics node, select CloudTalk from the list of available apps, and choose the action you need from the list of nodes within CloudTalk.

1

Google Analytics

+
2

CloudTalk

Authenticate CloudTalk

Now, click the CloudTalk node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your CloudTalk settings. Authentication allows you to use CloudTalk through Latenode.

1

Google Analytics

+
2

CloudTalk

Node type

#2 CloudTalk

/

Name

Untitled

Connection *

Select

Map

Connect CloudTalk

Sign In

Run node once

Configure the Google Analytics and CloudTalk Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

1

Google Analytics

+
2

CloudTalk

Node type

#2 CloudTalk

/

Name

Untitled

Connection *

Select

Map

Connect CloudTalk

CloudTalk Oauth 2.0

#66e212yt846363de89f97d54
Change

Select an action *

Select

Map

The action ID

Run node once

Set Up the Google Analytics and CloudTalk 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.
5

JavaScript

6

AI Anthropic Claude 3

+
7

CloudTalk

1

Trigger on Webhook

2

Google Analytics

3

Iterator

+
4

Webhook response

Save and Activate the Scenario

After configuring Google Analytics, CloudTalk, 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 CloudTalk integration works as expected. Depending on your setup, data should flow between Google Analytics and CloudTalk (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 CloudTalk

Google Analytics + CloudTalk + Google Sheets: This automation tracks website traffic using Google Analytics, records phone call data from CloudTalk, and compiles all information into a Google Sheet for unified reporting. When a new call is received in CloudTalk, website traffic data is pulled from Google Analytics and both data sets are added as a new row in Google Sheets.

CloudTalk + Google Analytics + HubSpot: When a new call is received in CloudTalk, this automation logs the call details as a call engagement in HubSpot. It then links relevant Google Analytics data (e.g., source, medium, campaign) to the HubSpot contact to analyze the effectiveness of marketing campaigns leading to the call.

Google Analytics and CloudTalk 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.

About CloudTalk

Automate CloudTalk call and SMS data within Latenode. Trigger workflows on new calls, messages, or agent status changes. Update CRMs, send alerts, or generate reports automatically. Use Latenode's visual editor and data transformation tools to customize call center automations without complex coding, and scale your workflows efficiently.

See how Latenode works

FAQ Google Analytics and CloudTalk

How can I connect my Google Analytics account to CloudTalk using Latenode?

To connect your Google Analytics account to CloudTalk 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 CloudTalk accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I trigger CloudTalk calls based on Google Analytics goals?

Yes, Latenode allows you to trigger CloudTalk calls when specific goals are reached in Google Analytics. React to marketing success in real-time with tailored customer interactions for increased conversions.

What types of tasks can I perform by integrating Google Analytics with CloudTalk?

Integrating Google Analytics with CloudTalk allows you to perform various tasks, including:

  • Automatically creating CloudTalk contacts from website leads tracked in Google Analytics.
  • Sending SMS messages via CloudTalk upon specific user actions tracked in Google Analytics.
  • Updating Google Analytics with call outcome data from CloudTalk.
  • Triggering personalized email campaigns via CloudTalk based on website behavior.
  • Generating reports combining web analytics and call center metrics.

How does Latenode handle Google Analytics data privacy?

Latenode provides tools for data masking and anonymization, ensuring compliance with privacy regulations while integrating Google Analytics data.

Are there any limitations to the Google Analytics and CloudTalk integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Historical data migration between the two platforms may require custom scripting.
  • Real-time data synchronization is subject to API request limits of both services.
  • Complex data transformations may necessitate JavaScript or AI-powered blocks.

Try now