{ "id": "wIBHF1QNYzvZZHta", "meta": { "templateCredsSetupCompleted": true }, "name": "23 Analyze Customer Lifetime Value", "tags": [], "nodes": [ { "id": "a73dd3f9-4d76-46ba-b4bc-9c7035109825", "name": "Run Offer Campaign Monthly", "type": "n8n-nodes-base.scheduleTrigger", "position": [ 0, 0 ], "parameters": { "rule": { "interval": [ { "field": "months", "triggerAtHour": 9 } ] } }, "typeVersion": 1.2 }, { "id": "8b11a03a-71da-4d82-8891-084adcddfd77", "name": "Set customer history url", "type": "n8n-nodes-base.set", "position": [ 200, 0 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "b366b00a-ad35-46ab-9722-6478ded6ec91", "name": "customer data url", "type": "string", "value": "example.com" } ] } }, "typeVersion": 3.4 }, { "id": "b1f84ba5-90f9-4483-968e-67df657a1936", "name": "Scrape Customer Profiles & Orders (Agent)", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 480, 0 ], "parameters": { "text": "=scrape the customer history url below and extract the key information:\n{{ $json['customer data url'] }}", "options": {}, "promptType": "define", "hasOutputParser": true }, "typeVersion": 2 }, { "id": "5aced094-ac88-4033-8a9b-dfc7b1457a6d", "name": "Bright Data MCP Scraper", "type": "n8n-nodes-mcp.mcpClientTool", "position": [ 640, 280 ], "parameters": { "toolName": "scrape_as_markdown", "operation": "executeTool", "toolParameters": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', ``, 'json') }}" }, "credentials": { "mcpClientApi": { "name": "" } }, "typeVersion": 1 }, { "id": "ef9b75c8-1ec6-43ca-9969-909146214422", "name": "AI Assistant", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 440, 280 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-5.5" }, "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "2d7909b4-333c-46cc-9909-5df7fe9bdeb6", "name": "Format Customer Info", "type": "n8n-nodes-base.code", "position": [ 900, 0 ], "parameters": { "jsCode": "// Get the array inside the 'output' key\nconst customers = items[0].json.output;\n\n// Map each customer to a separate item\nreturn customers.map(customer => {\n return { json: customer };\n});\n" }, "typeVersion": 2 }, { "id": "8d562c3e-2e0c-4ba8-8dbe-a89a23ba913b", "name": "Get Customer Order History", "type": "n8n-nodes-base.code", "position": [ 1100, 0 ], "parameters": { "jsCode": "// Loop through all incoming customers\nconst output = [];\n\nfor (const item of items) {\n const customerName = item.json.customer_name;\n const customerEmail = item.json.customer_email; // Added email extraction\n const orders = item.json.orders;\n\n for (const order of orders) {\n output.push({\n json: {\n customer_name: customerName,\n customer_email: customerEmail, // Added email in output\n amount: order.amount,\n date: order.date\n }\n });\n }\n}\n\nreturn output;\n" }, "typeVersion": 2 }, { "id": "02a09456-b359-4989-99b5-c830e9d6ca2a", "name": "Is Customer High-Value?", "type": "n8n-nodes-base.if", "position": [ 1360, 0 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "6725053f-eae9-422c-942d-c82279482697", "operator": { "type": "number", "operation": "gte" }, "leftValue": "={{ $json.amount }}", "rightValue": 200 } ] } }, "typeVersion": 2.2 }, { "id": "9a0b0647-1341-4159-b639-5b3581548d74", "name": "Send Special Offer Email", "type": "n8n-nodes-base.gmail", "position": [ 1580, -100 ], "parameters": { "sendTo": "={{ $json.customer_email }}", "message": "write any offer", "options": {}, "subject": "Offer for being out ideal customer" }, "credentials": { "gmailOAuth2": { "name": "" } }, "typeVersion": 2.1 }, { "id": "3d73fb01-ab20-4be2-97c7-c21d5c95b45f", "name": "Ignore Low-Value Customers", "type": "n8n-nodes-base.noOp", "position": [ 1580, 100 ], "parameters": {}, "typeVersion": 1 }, { "id": "7f81c4d2-d406-4d58-956e-78bca5a8f861", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -40, -1020 ], "parameters": { "color": 2, "width": 400, "height": 1200, "content": "## \ud83d\udd01 **Section 1: Schedule & Input Setup**\n\n### \ud83e\uddf1 Nodes:\n\n* **\ud83d\udd52 `Run Offer Campaign Daily`**\n* **\u270f\ufe0f `Set Admin Dashboard URL`**\n\n### \ud83d\udcd6 What Happens Here:\n\nThis section **initiates the workflow on a regular schedule** (daily, weekly, etc.). It also **sets the URL** of the **admin dashboard** where your customer data is stored.\n\n\ud83d\udca1 **Beginner Tip:**\nThis is your starting point. You don't need to manually run the workflow every time \u2014 just schedule it, and it will run automatically using the trigger.\n\n\u2705 **Why it\u2019s useful:**\nYou can run this process daily or weekly to find customers who deserve promotional offers, all on autopilot!\n\n---\n\n" }, "typeVersion": 1 }, { "id": "de0d7ee1-b627-4f17-b03e-4076b09166a9", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 440, -900 ], "parameters": { "color": 3, "width": 340, "height": 1080, "content": "## \ud83e\udd16 **Section 2: Scraping Customer Data with Agent**\n\n### \ud83e\uddf1 Nodes:\n\n* **\ud83e\udd16 `Scrape Customer Profiles & Orders (Agent)`**\n\n * \u2699\ufe0f **`AI Assistant (OpenAI Chat Model)`**\n * \ud83c\udf10 **`Bright Data MCP Scraper`**\n * \ud83e\uddfe **`Format Agent Output (Structured Output Parser)`**\n\n### \ud83d\udcd6 What Happens Here:\n\nThe **AI Agent** (powered by OpenAI and Bright Data MCP) accesses your dashboard and scrapes:\n\n* \ud83d\udcc7 **Customer profiles**\n* \ud83d\uded2 **Their purchase/order history**\n\nThe **Structured Output Parser** then **cleans up and organizes** this data into a format that other nodes can use.\n\n\ud83d\udca1 **Beginner Tip:**\nThis is like a smart assistant that goes to your admin dashboard, collects important info, and makes sure it\u2019s readable for the next steps.\n\n\u2705 **Why it\u2019s useful:**\nEven if the data is messy or complex on the dashboard, this section makes sure it\u2019s clean and ready to use in your automation.\n\n---\n\n" }, "typeVersion": 1 }, { "id": "9f5db009-9461-4937-8c88-d55bf47bfe2c", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 860, -760 ], "parameters": { "color": 5, "width": 360, "height": 940, "content": "## \ud83e\udde9 **Section 3: Data Formatting & Order Extraction**\n\n### \ud83e\uddf1 Nodes:\n\n* **\ud83d\udd27 `Format Customer Info`**\n* **\ud83d\udce6 `Get Customer Order History`**\n\n### \ud83d\udcd6 What Happens Here:\n\nThese function nodes further **organize and process the scraped data**:\n\n* The first node extracts key customer details like name, email, and ID.\n* The second node focuses on their **order data** \u2014 how many items they bought, total amount spent, etc.\n\n\ud83d\udca1 **Beginner Tip:**\nThink of this as organizing data into two folders: \ud83e\uddcd\u200d\u2642\ufe0f \u201cCustomer Info\u201d and \ud83d\udcca \u201cPurchase Data\u201d.\n\n\u2705 **Why it\u2019s useful:**\nClean separation of data means better targeting. You'll know exactly **who** bought **what**, and **how much** they spent \u2014 perfect for personalized offers!\n\n---\n\n" }, "typeVersion": 1 }, { "id": "a46e5710-fb85-46d6-addd-211994597386", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 1320, -740 ], "parameters": { "color": 6, "width": 380, "height": 1000, "content": "## \ud83c\udfaf **Section 4: Offer Decision & Action**\n\n### \ud83e\uddf1 Nodes:\n\n* **\ud83d\udcb0 `Is Customer High-Value?`**\n* **\ud83d\udce7 `Send Special Offer Email`**\n* **\u27a1\ufe0f `Ignore Low-Value Customers`**\n\n### \ud83d\udcd6 What Happens Here:\n\nThis section **decides what action to take**:\n\n* The \"High Value Check\" compares a customer\u2019s total spending against a fixed threshold.\n* If their spending is **high enough**, they get a personalized **offer email** via Gmail.\n* If not, they\u2019re simply **skipped** \u2014 no email is sent.\n\n\ud83d\udca1 **Beginner Tip:**\nYou don\u2019t want to send offers to everyone. This smart filter ensures **only loyal/high-value customers** get incentives.\n\n" }, "typeVersion": 1 }, { "id": "e32fb60f-390a-4f16-9b81-6b82fda08328", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 1820, -740 ], "parameters": { "color": 7, "width": 380, "height": 240, "content": "## I\u2019ll receive a tiny commission if you join Bright Data through this link\u2014thanks for fueling more free content!\n\n### https://get.brightdata.com/1tndi4600b25" }, "typeVersion": 1 }, { "id": "a31f7eec-c104-4631-86f3-523e68aab57b", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ -1780, -1040 ], "parameters": { "color": 4, "width": 1300, "height": 320, "content": "=======================================\n WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n - YouTube: https://www.youtube.com/@YaronBeen/videos\n - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n" }, "typeVersion": 1 }, { "id": "0f4db4d3-102f-4c2c-a456-42bd14e95a76", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -1780, -700 ], "parameters": { "color": 4, "width": 1289, "height": 2758, "content": "# \ud83c\udfaf **Automated High-Value Customer Targeting & Offer Campaign**\n\n### *Smartly scrape, segment, and send personalized offers \u2014 all without lifting a finger.*\n\n---\n\n## \ud83d\udd01 **Section 1: Schedule & Input Setup**\n\n### \ud83e\uddf1 Nodes:\n\n* **\ud83d\udd52 `Run Offer Campaign Daily`**\n* **\u270f\ufe0f `Set Admin Dashboard URL`**\n\n### \ud83d\udcd6 What Happens Here:\n\nThis section **initiates the workflow on a regular schedule** (daily, weekly, etc.). It also **sets the URL** of the **admin dashboard** where your customer data is stored.\n\n\ud83d\udca1 **Beginner Tip:**\nThis is your starting point. You don't need to manually run the workflow every time \u2014 just schedule it, and it will run automatically using the trigger.\n\n\u2705 **Why it\u2019s useful:**\nYou can run this process daily or weekly to find customers who deserve promotional offers, all on autopilot!\n\n---\n\n## \ud83e\udd16 **Section 2: Scraping Customer Data with Agent**\n\n### \ud83e\uddf1 Nodes:\n\n* **\ud83e\udd16 `Scrape Customer Profiles & Orders (Agent)`**\n\n * \u2699\ufe0f **`AI Assistant (OpenAI Chat Model)`**\n * \ud83c\udf10 **`Bright Data MCP Scraper`**\n * \ud83e\uddfe **`Format Agent Output (Structured Output Parser)`**\n\n### \ud83d\udcd6 What Happens Here:\n\nThe **AI Agent** (powered by OpenAI and Bright Data MCP) accesses your dashboard and scrapes:\n\n* \ud83d\udcc7 **Customer profiles**\n* \ud83d\uded2 **Their purchase/order history**\n\nThe **Structured Output Parser** then **cleans up and organizes** this data into a format that other nodes can use.\n\n\ud83d\udca1 **Beginner Tip:**\nThis is like a smart assistant that goes to your admin dashboard, collects important info, and makes sure it\u2019s readable for the next steps.\n\n\u2705 **Why it\u2019s useful:**\nEven if the data is messy or complex on the dashboard, this section makes sure it\u2019s clean and ready to use in your automation.\n\n---\n\n## \ud83e\udde9 **Section 3: Data Formatting & Order Extraction**\n\n### \ud83e\uddf1 Nodes:\n\n* **\ud83d\udd27 `Format Customer Info`**\n* **\ud83d\udce6 `Get Customer Order History`**\n\n### \ud83d\udcd6 What Happens Here:\n\nThese function nodes further **organize and process the scraped data**:\n\n* The first node extracts key customer details like name, email, and ID.\n* The second node focuses on their **order data** \u2014 how many items they bought, total amount spent, etc.\n\n\ud83d\udca1 **Beginner Tip:**\nThink of this as organizing data into two folders: \ud83e\uddcd\u200d\u2642\ufe0f \u201cCustomer Info\u201d and \ud83d\udcca \u201cPurchase Data\u201d.\n\n\u2705 **Why it\u2019s useful:**\nClean separation of data means better targeting. You'll know exactly **who** bought **what**, and **how much** they spent \u2014 perfect for personalized offers!\n\n---\n\n## \ud83c\udfaf **Section 4: Offer Decision & Action**\n\n### \ud83e\uddf1 Nodes:\n\n* **\ud83d\udcb0 `Is Customer High-Value?`**\n* **\ud83d\udce7 `Send Special Offer Email`**\n* **\u27a1\ufe0f `Ignore Low-Value Customers`**\n\n### \ud83d\udcd6 What Happens Here:\n\nThis section **decides what action to take**:\n\n* The \"High Value Check\" compares a customer\u2019s total spending against a fixed threshold.\n* If their spending is **high enough**, they get a personalized **offer email** via Gmail.\n* If not, they\u2019re simply **skipped** \u2014 no email is sent.\n\n\ud83d\udca1 **Beginner Tip:**\nYou don\u2019t want to send offers to everyone. This smart filter ensures **only loyal/high-value customers** get incentives.\n\n\u2705 **Why it\u2019s useful:**\nIt automates your **customer segmentation** and **email marketing**, saving you time while targeting the right people to boost sales.\n\n---\n\n## \ud83c\udf89 Final Thoughts\n\nThis workflow is a **powerful marketing automation tool**. Here's what it empowers you to do:\n\n* \u23f0 Run promotions on autopilot\n* \ud83e\udde0 Use AI and proxies to collect data\n* \ud83e\uddf9 Organize complex customer records\n* \ud83c\udfaf Only target the most valuable users\n* \ud83d\udcc8 Increase conversion rates with personalized emails\n\n---\n\n" }, "typeVersion": 1 }, { "id": "e7eec1fb-1a84-44be-8b8c-ab6fa4acbc1c", "name": "Auto-fixing Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing", "position": [ 780, 280 ], "parameters": { "options": {} }, "typeVersion": 1 }, { "id": "3e4a7bfa-5ba6-4abb-8dac-72eeee8263a4", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 760, 500 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-5.5" }, "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "6ba75ee7-46ea-4388-b5c2-b5ab2d4aecc1", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 920, 500 ], "parameters": { "jsonSchemaExample": "[\n {\n \"customer_name\": \"John Doe\",\n \"orders\": [\n {\n \"amount\": 120,\n \"date\": \"2024-05-10\"\n },\n {\n \"amount\": 80,\n \"date\": \"2024-06-15\"\n }\n ]\n },\n {\n \"customer_name\": \"Jane Smith\",\n \"orders\": [\n {\n \"amount\": 200,\n \"date\": \"2024-04-05\"\n },\n {\n \"amount\": 150,\n \"date\": \"2024-05-01\"\n },\n {\n \"amount\": 180,\n \"date\": \"2024-06-10\"\n }\n ]\n },\n {\n \"customer_name\": \"Michael Johnson\",\n \"orders\": [\n {\n \"amount\": 600,\n \"date\": \"2024-07-01\"\n }\n ]\n }\n]\n" }, "typeVersion": 1.2 } ], "active": false, "settings": { "executionOrder": "v1" }, "versionId": "f2ffb3ba-6efc-493d-93c6-6a2e99e8c2d8", "connections": { "AI Assistant": { "ai_languageModel": [ [ { "node": "Scrape Customer Profiles & Orders (Agent)", "type": "ai_languageModel", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Auto-fixing Output Parser", "type": "ai_languageModel", "index": 0 } ] ] }, "Format Customer Info": { "main": [ [ { "node": "Get Customer Order History", "type": "main", "index": 0 } ] ] }, "Bright Data MCP Scraper": { "ai_tool": [ [ { "node": "Scrape Customer Profiles & Orders (Agent)", "type": "ai_tool", "index": 0 } ] ] }, "Is Customer High-Value?": { "main": [ [ { "node": "Send Special Offer Email", "type": "main", "index": 0 } ], [ { "node": "Ignore Low-Value Customers", "type": "main", "index": 0 } ] ] }, "Set customer history url": { "main": [ [ { "node": "Scrape Customer Profiles & Orders (Agent)", "type": "main", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "Auto-fixing Output Parser", "type": "ai_outputParser", "index": 0 } ] ] }, "Auto-fixing Output Parser": { "ai_outputParser": [ [ { "node": "Scrape Customer Profiles & Orders (Agent)", "type": "ai_outputParser", "index": 0 } ] ] }, "Get Customer Order History": { "main": [ [ { "node": "Is Customer High-Value?", "type": "main", "index": 0 } ] ] }, "Run Offer Campaign Monthly": { "main": [ [ { "node": "Set customer history url", "type": "main", "index": 0 } ] ] }, "Scrape Customer Profiles & Orders (Agent)": { "main": [ [ { "node": "Format Customer Info", "type": "main", "index": 0 } ] ] } } }