Lead Qualification with BatchData
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Qualify leads based on property data fetched from BatchData.
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About This Workflow
Overview
This workflow automatically qualifies incoming leads by leveraging property data retrieved via the BatchData API. It fetches lead information from a CRM webhook, enriches it with property details such as value, size, and age, and then scores and categorizes the lead based on these attributes. This allows for efficient identification of high-value prospects.
Key Features
- Real-time lead ingestion via webhook.
- Integration with CRM APIs for lead data retrieval.
- Property data enrichment using BatchData.
- Customizable lead scoring algorithm.
- Automated lead qualification status assignment.
How To Use
- Webhook Setup: Configure your CRM to send lead data to the provided webhook URL. Ensure the payload includes
leadId,crmApiUrl, and address details. - CRM API Credentials: Set up HTTP Header Auth credentials for your CRM API to fetch detailed lead information.
- BatchData API Credentials: Create HTTP Header Auth credentials for BatchData using your API key (e.g.,
x-api-key: YOUR_BATCHDATA_API_KEY). - Environment Variables: Set
BASE_URLfor CRM API calls andAPI_BASE_URLfor BatchData calls in your n8n environment. - Code Node Customization: Adjust the scoring logic within the 'Score And Qualify Lead' code node if needed, based on your specific qualification criteria.
Apps Used
Workflow JSON
{
"id": "616fa986-7db9-4131-a59e-e605e9d35257",
"name": "Lead Qualification with BatchData",
"nodes": 0,
"category": "CRM & Sales",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 616fa986-7db9...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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