{ "updatedAt": "2025-10-13T17:24:18.853Z", "createdAt": "2025-10-13T17:24:18.853Z", "id": "BtOUYRJayFDQiei8", "name": "10 Track Email Campaign Performance", "active": false, "isArchived": false, "nodes": [ { "parameters": { "rule": { "interval": [ { "triggerAtHour": 9 } ] } }, "id": "b75bf461-4b00-4800-ab3d-8412a43b77e9", "name": "\u23f0 Daily Campaign Check Trigger", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -3568, 1344 ], "typeVersion": 1.2 }, { "parameters": { "assignments": { "assignments": [ { "id": "04df454e-d477-4dd4-a029-2c97cfd1bf8f", "name": "url", "type": "string", "value": "=https://www.mailchimp.com/campaigns/123/report" } ] }, "options": {} }, "id": "9e59b6bc-fce9-4531-8fc0-b95a46ae13d0", "name": "\u270f\ufe0f Set Campaign Input Fields", "type": "n8n-nodes-base.set", "position": [ -3344, 1344 ], "typeVersion": 3.4 }, { "parameters": { "promptType": "define", "hasOutputParser": true, "options": {} }, "id": "8274ab1e-ddfa-4f36-9fff-44149e0e7681", "name": "\ud83e\udd16 Agent: Scrape & Analyze Campaign Performance", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ -2992, 1344 ], "typeVersion": 2 }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "id": "7b3908ac-fa66-4bea-8657-e64c6ec9b4fb", "name": "\ud83e\udde0 LLM: Summarize & Format", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ -3008, 1632 ], "typeVersion": 1.2 }, { "parameters": {}, "id": "4d065e6d-26da-490d-99a4-adc7a0071970", "name": "\ud83c\udf10 Bright Data MCP: Scrape Report", "type": "n8n-nodes-mcp.mcpClientTool", "position": [ -2848, 1584 ], "typeVersion": 1, "credentials": {} }, { "parameters": { "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "d5c41a60-cadf-47a6-9685-9bead865346d", "operator": { "type": "number", "operation": "gte" }, "leftValue": "={{ $json.open_rate }}", "rightValue": 20 }, { "id": "7a251b0b-a122-418d-8b0c-6714ebfa6018", "operator": { "type": "number", "operation": "lt" }, "leftValue": "={{ $json.ctr }}", "rightValue": 130 } ] }, "options": {} }, "id": "632fda9e-0f1e-4802-a93d-7dad3a0870fb", "name": "\ud83d\udd0e IF: Open \u226530% & CTR <10%?", "type": "n8n-nodes-base.if", "position": [ -2416, 1344 ], "typeVersion": 2.2 }, { "parameters": { "sendTo": "shahkar.genai@gmail.com", "subject": "Did you miss this? Here\u2019s something special for you!", "emailType": "text", "message": "Hi [First Name], \nWe noticed you opened our recent email \u2014 thank you for staying connected! \n\ud83d\ude4c But we think you might have missed the best part\u2026 \n\ud83d\udc49 [Big Benefit or Offer \u2014 e.g., \u201cGet 20% off your next order \u2014 today only!\u201d] \nWe don\u2019t want you to miss out \u2014 just click below and grab your exclusive [deal / resource / upgrade]. \n[CTA Button: \u201cClaim Your Offer\u201d] Still not sure? We\u2019re here to help if you have any questions. Just hit reply \u2014 we love hearing from you! Talk soon, [Your Name] [Your Company]", "options": {} }, "id": "de624f92-4b9e-452f-8891-f3a73b44b39f", "name": "\ud83d\udce7 Send Follow-Up Engagement Email", "type": "n8n-nodes-base.gmail", "position": [ -2176, 1232 ], "typeVersion": 2.1 }, { "parameters": {}, "id": "e8677fac-dbd7-4fbf-8c65-593536ea0a24", "name": "\ud83d\udeab Skip \u2014 No Action Needed", "type": "n8n-nodes-base.noOp", "position": [ -2176, 1440 ], "typeVersion": 1 }, { "parameters": { "content": "## \ud83c\udfaf **\ud83d\udd39 SECTION 1: Schedule & Prepare Inputs**\n\n### \u2705 **Nodes in this Section**\n\n| Node | Name |\n| ---- | -------------------------------- |\n| \u23f0 | **Daily Campaign Check Trigger** |\n| \u270f\ufe0f | **Set Campaign Input Fields** |\n\n---\n\n### \ud83d\udca1 **What Happens Here**\n\n* **\u23f0 Daily Campaign Check Trigger:**\n This node automatically **starts the workflow on a schedule** \u2014 for example, every morning at 9\u202fAM.\n It makes sure you **don\u2019t have to run it manually** every time. The goal is to check your email campaign performance **regularly and consistently**.\n\n* **\u270f\ufe0f Set Campaign Input Fields:**\n This node **defines any input values** that your Agent needs.\n For example:\n\n * Campaign ID\n * ESP URL\n * Date range\n * Any dynamic variables\n\n It acts like **filling in a form** that the rest of the workflow will use.\n You can **edit it easily** without changing the whole workflow.\n\n---\n\n### \ud83c\udfaf **Why It\u2019s Important**\n\n\u2705 Automates the whole thing on autopilot.\n\u2705 Ensures the Agent always has the **right data**.\n\u2705 Makes the workflow easy to maintain for non-tech users \u2014 just change a value in **Edit Fields**, done!\n\n---\n\n---\n\n", "height": 1360, "width": 420, "color": 6 }, "id": "e34cfa29-8c56-464f-abf8-16495559ce8f", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -3632, 160 ], "typeVersion": 1 }, { "parameters": { "content": "## \ud83e\udd16 **\ud83d\udd39 SECTION 2: Scrape & Analyze with AI Agent**\n\n### \u2705 **Nodes in this Section**\n\n| Node | Name |\n| ---- | ------------------------------------------------ |\n| \ud83e\udd16 | **Agent: Scrape & Analyze Campaign Performance** |\n| \ud83e\udde0 | **LLM: Summarize & Format** |\n| \ud83c\udf10 | **Bright Data MCP: Scrape Report** |\n| \ud83d\uddc2\ufe0f | **Parse Scrape Output** |\n\n---\n\n### \ud83d\udca1 **What Happens Here**\n\n* **\ud83e\udd16 Agent: Scrape & Analyze Campaign Performance**\n This is your **AI Agent** \u2014 it does the smart part:\n\n * Talks to the **Bright Data MCP Tool** to scrape the ESP report page.\n * Uses an **LLM** (OpenAI Chat Model) to process the scraped data.\n * Passes the result to an **Output Parser** to turn messy text into clean, structured data.\n\n* **\ud83c\udf10 Bright Data MCP: Scrape Report**\n Bright Data logs in, navigates to your campaign report page, and **scrapes live open/click numbers**.\n\n* **\ud83e\udde0 LLM: Summarize & Format**\n The Chat Model turns raw scraped info into easy-to-read Markdown or JSON.\n This is like having a mini data analyst!\n\n* **\ud83d\uddc2\ufe0f Parse Scrape Output**\n This node extracts the final numbers (open rate, CTR, bounces) so the logic can understand them.\n\n---\n\n### \ud83c\udfaf **Why It\u2019s Important**\n\n\u2705 You don\u2019t have to log in manually to get reports.\n\u2705 The AI cleans up messy scraped data.\n\u2705 Makes follow-up decisions possible without human effort.\n\u2705 Works for **any ESP** \u2014 if the layout changes, just adjust the scraper.\n\n---\n\n---\n\n", "height": 1480, "width": 420, "color": 3 }, "id": "f3f90ae3-cfad-4951-99d6-61746f7dd781", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -3072, 32 ], "typeVersion": 1 }, { "parameters": { "content": "## \ud83d\udcc8 **\ud83d\udd39 SECTION 3: Decide & Act Automatically**\n\n### \u2705 **Nodes in this Section**\n\n| Node | Name |\n| ---- | ----------------------------------- |\n| \ud83d\udd0e | **IF: Open \u226530% & CTR <10%?** |\n| \ud83d\udce7 | **Send Follow-Up Engagement Email** |\n| \ud83d\udeab | **Skip \u2014 No Action Needed** |\n\n---\n\n### \ud83d\udca1 **What Happens Here**\n\n* **\ud83d\udd0e IF: Open \u226530% & CTR <10%?**\n This node checks:\n\n * Is the open rate good? (\u226530%)\n * But is the click-through rate low? (<10%)\n If **true**, it triggers follow-up to re-engage the audience.\n\n* **\ud83d\udce7 Send Follow-Up Engagement Email**\n If the condition is true, this node sends a **personalized follow-up email** automatically.\n For example: \u201cHey, you opened but didn\u2019t click \u2014 here\u2019s your special offer!\u201d\n\n* **\ud83d\udeab Skip \u2014 No Action Needed**\n If the condition is **false** (e.g. CTR is healthy), do nothing. The workflow ends safely.\n\n---\n\n", "height": 1100, "width": 420, "color": 5 }, "id": "d8843926-4832-4b94-9745-be32127cd5ad", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -2448, 496 ], "typeVersion": 1 }, { "parameters": { "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", "height": 240, "width": 380, "color": 7 }, "id": "f9ed1775-00e1-4b4a-9f62-0780069add22", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ -1952, 416 ], "typeVersion": 1 }, { "parameters": { "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", "height": 320, "width": 1300, "color": 4 }, "id": "16c699a8-34e9-4705-bebd-39dd785e69d9", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ -5488, 160 ], "typeVersion": 1 }, { "parameters": { "content": "# Dynamic Email Re-Engagement Automation\n---\n\n## \ud83c\udfaf **\ud83d\udd39 SECTION 1: Schedule & Prepare Inputs**\n\n### \u2705 **Nodes in this Section**\n\n| Node | Name |\n| ---- | -------------------------------- |\n| \u23f0 | **Daily Campaign Check Trigger** |\n| \u270f\ufe0f | **Set Campaign Input Fields** |\n\n---\n\n### \ud83d\udca1 **What Happens Here**\n\n* **\u23f0 Daily Campaign Check Trigger:**\n This node automatically **starts the workflow on a schedule** \u2014 for example, every morning at 9\u202fAM.\n It makes sure you **don\u2019t have to run it manually** every time. The goal is to check your email campaign performance **regularly and consistently**.\n\n* **\u270f\ufe0f Set Campaign Input Fields:**\n This node **defines any input values** that your Agent needs.\n For example:\n\n * Campaign ID\n * ESP URL\n * Date range\n * Any dynamic variables\n\n It acts like **filling in a form** that the rest of the workflow will use.\n You can **edit it easily** without changing the whole workflow.\n\n---\n\n### \ud83c\udfaf **Why It\u2019s Important**\n\n\u2705 Automates the whole thing on autopilot.\n\u2705 Ensures the Agent always has the **right data**.\n\u2705 Makes the workflow easy to maintain for non-tech users \u2014 just change a value in **Edit Fields**, done!\n\n---\n\n---\n\n## \ud83e\udd16 **\ud83d\udd39 SECTION 2: Scrape & Analyze with AI Agent**\n\n### \u2705 **Nodes in this Section**\n\n| Node | Name |\n| ---- | ------------------------------------------------ |\n| \ud83e\udd16 | **Agent: Scrape & Analyze Campaign Performance** |\n| \ud83e\udde0 | **LLM: Summarize & Format** |\n| \ud83c\udf10 | **Bright Data MCP: Scrape Report** |\n| \ud83d\uddc2\ufe0f | **Parse Scrape Output** |\n\n---\n\n### \ud83d\udca1 **What Happens Here**\n\n* **\ud83e\udd16 Agent: Scrape & Analyze Campaign Performance**\n This is your **AI Agent** \u2014 it does the smart part:\n\n * Talks to the **Bright Data MCP Tool** to scrape the ESP report page.\n * Uses an **LLM** (OpenAI Chat Model) to process the scraped data.\n * Passes the result to an **Output Parser** to turn messy text into clean, structured data.\n\n* **\ud83c\udf10 Bright Data MCP: Scrape Report**\n Bright Data logs in, navigates to your campaign report page, and **scrapes live open/click numbers**.\n\n* **\ud83e\udde0 LLM: Summarize & Format**\n The Chat Model turns raw scraped info into easy-to-read Markdown or JSON.\n This is like having a mini data analyst!\n\n* **\ud83d\uddc2\ufe0f Parse Scrape Output**\n This node extracts the final numbers (open rate, CTR, bounces) so the logic can understand them.\n\n---\n\n### \ud83c\udfaf **Why It\u2019s Important**\n\n\u2705 You don\u2019t have to log in manually to get reports.\n\u2705 The AI cleans up messy scraped data.\n\u2705 Makes follow-up decisions possible without human effort.\n\u2705 Works for **any ESP** \u2014 if the layout changes, just adjust the scraper.\n\n---\n\n---\n\n## \ud83d\udcc8 **\ud83d\udd39 SECTION 3: Decide & Act Automatically**\n\n### \u2705 **Nodes in this Section**\n\n| Node | Name |\n| ---- | ----------------------------------- |\n| \ud83d\udd0e | **IF: Open \u226530% & CTR <10%?** |\n| \ud83d\udce7 | **Send Follow-Up Engagement Email** |\n| \ud83d\udeab | **Skip \u2014 No Action Needed** |\n\n---\n\n### \ud83d\udca1 **What Happens Here**\n\n* **\ud83d\udd0e IF: Open \u226530% & CTR <10%?**\n This node checks:\n\n * Is the open rate good? (\u226530%)\n * But is the click-through rate low? (<10%)\n If **true**, it triggers follow-up to re-engage the audience.\n\n* **\ud83d\udce7 Send Follow-Up Engagement Email**\n If the condition is true, this node sends a **personalized follow-up email** automatically.\n For example: \u201cHey, you opened but didn\u2019t click \u2014 here\u2019s your special offer!\u201d\n\n* **\ud83d\udeab Skip \u2014 No Action Needed**\n If the condition is **false** (e.g. CTR is healthy), do nothing. The workflow ends safely.\n\n---\n\n### \ud83c\udfaf **Why It\u2019s Important**\n\n\u2705 Takes action **only when needed**, saving time.\n\u2705 Boosts click rates without extra manual work.\n\u2705 Protects your audience from spam by not sending unnecessary follow-ups.\n\n---\n\n## \ud83c\udf1f **\u2728 Why This Whole Flow is Powerful**\n\n* Runs daily \u2014 **no manual checks**.\n* Scrapes live data \u2014 **no API? No problem!**\n* Uses AI to process messy data \u2014 **no coding required!**\n* Makes smart decisions \u2014 **no human micromanagement**.\n* Sends the right email to the right audience at the right time \u2014 **better engagement, better ROI!**\n\n---\n\n", "height": 3118, "width": 1289, "color": 4 }, "id": "b5468916-16ea-45ac-95d0-25fd44b7c9fa", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -5488, 496 ], "typeVersion": 1 }, { "parameters": { "options": {} }, "id": "7cd92915-eef4-4a66-9636-e426761990a3", "name": "Auto-fixing Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing", "position": [ -2672, 1632 ], "typeVersion": 1 }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "id": "fe745c2d-80b3-4cf4-92c4-7cb1f344cf16", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ -2704, 1904 ], "typeVersion": 1.2 }, { "parameters": { "jsonSchemaExample": "{\n \"campaign_name\": \"Summer Promo Blast\",\n \"campaign_id\": \"123456789\",\n \"date_sent\": \"2025-06-29\",\n \"unique_opens\": 1230,\n \"total_opens\": 1590,\n \"open_rate\": 47,\n \"unique_clicks\": 530,\n \"total_clicks\": 670,\n \"ctr\": 20,\n \"soft_bounces\": 25,\n \"hard_bounces\": 10,\n \"bounce_rate\": 1.8,\n \"unsubscribed\": 15,\n \"unsubscribe_rate\": 0.6\n}\n" }, "id": "703693aa-3849-42fa-a066-39ba65f452fe", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ -2528, 1904 ], "typeVersion": 1.2 } ], "connections": { "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Auto-fixing Output Parser", "type": "ai_languageModel", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "Auto-fixing Output Parser", "type": "ai_outputParser", "index": 0 } ] ] }, "Auto-fixing Output Parser": { "ai_outputParser": [ [ { "node": "\ud83e\udd16 Agent: Scrape & Analyze Campaign Performance", "type": "ai_outputParser", "index": 0 } ] ] }, "\ud83e\udde0 LLM: Summarize & Format": { "ai_languageModel": [ [ { "node": "\ud83e\udd16 Agent: Scrape & Analyze Campaign Performance", "type": "ai_languageModel", "index": 0 } ] ] }, "\u23f0 Daily Campaign Check Trigger": { "main": [ [ { "node": "\u270f\ufe0f Set Campaign Input Fields", "type": "main", "index": 0 } ] ] }, "\u270f\ufe0f Set Campaign Input Fields": { "main": [ [ { "node": "\ud83e\udd16 Agent: Scrape & Analyze Campaign Performance", "type": "main", "index": 0 } ] ] }, "\ud83d\udd0e IF: Open \u226530% & CTR <10%?": { "main": [ [ { "node": "\ud83d\udce7 Send Follow-Up Engagement Email", "type": "main", "index": 0 } ], [ { "node": "\ud83d\udeab Skip \u2014 No Action Needed", "type": "main", "index": 0 } ] ] }, "\ud83e\udd16 Agent: Scrape & Analyze Campaign Performance": { "main": [ [ { "node": "\ud83d\udd0e IF: Open \u226530% & CTR <10%?", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" }, "staticData": null, "meta": { "templateCredsSetupCompleted": true }, "versionId": "e7bfaba4-75f9-46d0-a400-e06ae7f43929", "activeVersionId": null, "triggerCount": 0, "shared": [ { "updatedAt": "2025-10-13T17:24:18.853Z", "createdAt": "2025-10-13T17:24:18.853Z", "role": "workflow:owner", "workflowId": "BtOUYRJayFDQiei8", "projectId": "Fm4IyGowkpuhQseY" } ], "activeVersion": null, "tags": [] }