Drip and CloudTalk Integration

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Automatically add new CloudTalk callers to Drip for targeted marketing campaigns. Latenode's visual editor makes complex conditional logic easy, and affordable pricing scales with your contact volume for sustained growth.

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Drip

CloudTalk

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Drip and CloudTalk

Create a New Scenario to Connect Drip 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 Drip, triggered by another scenario, or executed manually (for testing purposes). In most cases, Drip or CloudTalk will be your first step. To do this, click "Choose an app," find Drip or CloudTalk, and select the appropriate trigger to start the scenario.

Add the Drip Node

Select the Drip node from the app selection panel on the right.

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Drip

Configure the Drip

Click on the Drip node to configure it. You can modify the Drip URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Sign In

Run node once

Add the CloudTalk Node

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

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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.

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Connect CloudTalk

Sign In

Run node once

Configure the Drip 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.

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The action ID

Run node once

Set Up the Drip 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.
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Save and Activate the Scenario

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

CloudTalk + Drip + Slack: When a new call ends in CloudTalk, the automation finds or creates the contact in Drip. Then, a summary of the call and the customer details from Drip are sent to a specified Slack channel.

CloudTalk + Drip + Google Sheets: Logs details of new calls from CloudTalk and enriches the data with customer information from Drip. This combined data is then added as a new row in Google Sheets for reporting and analysis.

Drip and CloudTalk integration alternatives

About Drip

Use Drip in Latenode for automated marketing workflows. Sync customer data, trigger personalized email campaigns based on events, and analyze results. Scale your email marketing by connecting Drip to other apps in Latenode via visual flows. Benefit from advanced logic and data transformations to precisely target your audience.

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 Drip and CloudTalk

How can I connect my Drip account to CloudTalk using Latenode?

To connect your Drip account to CloudTalk on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Drip and click on "Connect".
  • Authenticate your Drip and CloudTalk accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automate personalized follow-ups after a CloudTalk call?

Yes, you can! Latenode’s visual editor makes it easy to trigger automated Drip campaigns based on call outcomes in CloudTalk, ensuring timely and relevant follow-up to maximize engagement.

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

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

  • Adding new CloudTalk callers as subscribers in Drip.
  • Tagging Drip subscribers based on call outcomes.
  • Triggering Drip campaigns upon specific call events.
  • Updating subscriber custom fields with call data.
  • Segmenting subscribers based on CloudTalk activity.

Can I use JavaScript to transform data between Drip and CloudTalk?

Yes! Latenode lets you use JavaScript to format and transform data, giving complete control over how Drip and CloudTalk interact.

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

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

  • Complex data transformations may require JavaScript knowledge.
  • Real-time data synchronization depends on API rate limits.
  • Custom field mapping requires careful configuration.

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