Analyze & target high-value customers with GPT-5.5 and Bright Data MCP
UnknownWhat this workflow does
This AI workflow has 13 nodes and runs on a schedule (every month at 09:00). Along the way it connects OpenAI Chat Model, Gmail and Mcp (community).
How it runs
Trigger: On a schedule (every month at 09:00).
- Set customer history url (Edit Fields (Set)): sets 1 field: customer data url
- Scrape Customer Profiles & Orders (Agent) (AI Agent): runs an AI agent, with model: AI Assistant; 1 tool (Bright Data MCP Scraper); output parser: Auto-fixing Output Parser
- Format Customer Info (Code): runs custom JavaScript code
- Get Customer Order History (Code): runs custom JavaScript code
- Is Customer High-Value? (If): checks a condition and branches into true / false
- Send Special Offer Email (Gmail): uses Gmail
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-mcp is verified or supports 3.0 (used in Bright Data MCP Scraper).
Nodes used (11)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - AI Agent
@n8n/n8n-nodes-langchain.agent - Mcp Client Tool
n8n-nodes-mcp.mcpClientTool - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Code
n8n-nodes-base.code - If
n8n-nodes-base.if - Gmail
n8n-nodes-base.gmail - No Operation, do nothing
n8n-nodes-base.noOp - Auto-fixing Output Parser
@n8n/n8n-nodes-langchain.outputParserAutofixing - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
From the author
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically analyzes customer lifetime value (CLV) metrics to optimize customer acquisition and retention strategies. It saves you time by…