Enrich Layer and PandaDoc Integration

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Automatically populate PandaDoc contracts with enriched lead data from Enrich Layer, ensuring accuracy and saving sales teams valuable time. Latenode's visual editor and affordable execution-based pricing make it easy to scale complex document workflows.

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Enrich Layer

PandaDoc

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Enrich Layer and PandaDoc

Create a New Scenario to Connect Enrich Layer and PandaDoc

In the workspace, click the β€œCreate 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 Enrich Layer, triggered by another scenario, or executed manually (for testing purposes). In most cases, Enrich Layer or PandaDoc will be your first step. To do this, click "Choose an app," find Enrich Layer or PandaDoc, and select the appropriate trigger to start the scenario.

Add the Enrich Layer Node

Select the Enrich Layer node from the app selection panel on the right.

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Enrich Layer

Configure the Enrich Layer

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

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Run node once

Add the PandaDoc Node

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

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Authenticate PandaDoc

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

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Configure the Enrich Layer and PandaDoc 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

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Run node once

Set Up the Enrich Layer and PandaDoc 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 Enrich Layer, PandaDoc, 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 β€œRun once” and triggering an event to check if the Enrich Layer and PandaDoc integration works as expected. Depending on your setup, data should flow between Enrich Layer and PandaDoc (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Enrich Layer and PandaDoc

Enrich Layer + PandaDoc + Salesforce: When a new document is created from a template in PandaDoc, enrich company data using Enrich Layer, then create a new record in Salesforce.

PandaDoc + Enrich Layer + Slack: When a PandaDoc document status changes to 'signed', enrich company data using Enrich Layer and send a message to a Slack channel.

Enrich Layer and PandaDoc integration alternatives

About Enrich Layer

Enrich Layer inside Latenode automates data validation and enhancement. Fix errors and add missing info to leads or contacts. Clean up data from any source before it reaches your CRM or database. Latenode handles complex logic and scales the process without per-step costs, keeping data accurate and workflows efficient.

About PandaDoc

Automate document workflows with PandaDoc in Latenode. Generate, send, and track proposals/contracts without manual steps. Use Latenode to trigger PandaDoc actions from your CRM or database. Parse data, pre-fill templates, and update records when documents are signed – saving time and ensuring data accuracy across systems. Scales easily.

Enrich Layer + PandaDoc integration

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FAQ Enrich Layer and PandaDoc

How can I connect my Enrich Layer account to PandaDoc using Latenode?

To connect your Enrich Layer account to PandaDoc on Latenode, follow these steps:

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

Can I automatically populate PandaDoc documents with enriched lead data?

Yes, you can! Latenode allows you to seamlessly transfer enriched data from Enrich Layer to PandaDoc, automating document creation and saving valuable time for your sales team.

What types of tasks can I perform by integrating Enrich Layer with PandaDoc?

Integrating Enrich Layer with PandaDoc allows you to perform various tasks, including:

  • Automatically create PandaDoc documents from enriched lead information.
  • Update contact details in PandaDoc using Enrich Layer data.
  • Send personalized PandaDoc proposals based on enriched customer profiles.
  • Trigger PandaDoc document creation upon successful lead enrichment.
  • Track document status in PandaDoc based on Enrich Layer data updates.

What Enrich Layer data can I access within my Latenode workflows?

You can access all available data points from Enrich Layer, including company size, industry, location, and contact information, enhancing your workflows.

Are there any limitations to the Enrich Layer and PandaDoc integration on Latenode?

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

  • Complex data transformations may require JavaScript coding.
  • The number of API calls is subject to your Enrich Layer and PandaDoc plans.
  • Real-time updates depend on the polling interval configured in your workflow.

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