{ "workflow": { "id": 11011, "name": "Analyze customer sentiment with Zoho CRM, Google Gemini & send Gmail alerts", "views": 97, "recentViews": 0, "totalViews": 97, "createdAt": "2025-11-19T12:29:32.879Z", "description": "# Zoho CRM → AI Sentiment Analysis for customer interactions & Automatic Alerts Workflow\n\nThis workflow analyzes newly created Notes (in Any module) in Zoho CRM, detects customer sentiment using an AI model, updates the related CRM record with custom fields - sentiment label and score, and sends an instant alert whenever negative sentiment is detected. It runs on a scheduled interval and gives teams real-time visibility into customer emotions and potential risks.\n\n### Quick Implementation Steps\n1. Connect Zoho CRM OAuth2 credentials \n2. Add custom fields in Zoho CRM: `Sentiment_Label` and `Sentiment_Score` \n3. Add AI provider credentials \n4. Set Gmail alert recipient \n5. Activate workflow and test by adding a Note \n\n## What It Does\nThis workflow automatically monitors Zoho CRM Notes. When a new Note is detected, the text is extracted and analyzed through an AI-powered sentiment model. The AI classifies the text as Positive, Neutral or Negative and produces a numeric sentiment score.\n\nThe workflow updates the related CRM module with these values. If the sentiment is negative, a Gmail alert is triggered so your team can follow up quickly. This automation helps organizations maintain high customer satisfaction and detect potential issues early.\n\n## Who’s It For\n- Support teams \n- Sales teams \n- CRM administrators \n- Customer success managers \n- Businesses needing automated customer sentiment tracking \n\n## Requirements\n- n8n instance \n- Zoho CRM OAuth2 credentials \n- Gmail OAuth2 credentials \n- AI provider key \n- Custom fields in Zoho CRM: Sentiment_Label & Sentiment_Score (if you are using different field name then do changes in workflow accoredingly)\n\n## How It Works & Setup\n\n### Step 1: Schedule Trigger\nRuns periodically to check for new or updated Notes.\n\n### Step 2: Fetch Latest Note\nRetrieves the most recently modified Note.\n\n### Step 3: Extract Details\nExtracts Note text, note_id, parent_id and module name.\n\n### Step 4: AI Sentiment Analysis\nSends text to the AI (via LangChain chain) for sentiment classification.\n\n### Step 5: Conditional Branching\n- If Negative: Send Gmail alert and update CRM \n- Otherwise: Just update CRM \n\n### Step 6: Update CRM\nWrites sentiment data back into the related parent record.\n\n## How to Customize Nodes\n- Adjust sentiment output by modifying the AI prompt.\n- Change field mappings in Zoho update nodes.\n- Customize the Gmail alert message.\n- Adjust Schedule Trigger frequency.\n- Add additional metadata (e.g., emotion tags).\n\n## Add‑Ons\n- Slack/Teams alerts for negative sentiment. \n- Historical sentiment logging.\n- Weekly sentiment reports.\n- Auto-task creation for negative interactions.\n- Priority-based escalation logic.\n\n## Use Case Examples\n1. Detect unhappy customers in support interactions.\n2. Monitor sentiment across sales conversations.\n3. Escalate negative feedback automatically.\n4. Quality assurance tracking for customer interactions.\n5. Early detection of churn indicators.\n\n## Troubleshooting Guide\n\n| Issue | Possible Cause | Solution |\n|------|----------------|----------|\n| Sentiment not updating | Missing Zoho fields | Add custom fields in CRM |\n| Note not detected | Fetching only latest note | Increase frequency or widen fetch scope |\n| AI output invalid | Prompt mismatch | Update prompt and parser |\n| Alerts not sending | Gmail OAuth expired | Reconnect Gmail |\n| Incorrect sentiment | Weak prompt instructions | Refine prompt wording |\n\n## Need Help?\n\n[WeblineIndia](https://n8n.io/creators/weblineindia/) can help you configure, customize and extend workflows like this. \n\nWe specialize in: \n- n8n automation\n- CRM integrations\n- AI/LLM-powered workflows\n- Zoho CRM customization\n\nReach out if you'd like assistance building or enhancing similar [n8n automation solutions](https://www.weblineindia.com/n8n-automation/).", "workflow": { "id": "Ag8cibmA2MT56mPT", "meta": { "instanceId": "14e4c77104722ab186539dfea5182e419aecc83d85963fe13f6de862c875ebfa", "templateCredsSetupCompleted": true }, "name": "Zoho CRM - Sentiment Analysis for Customer Interactions", "tags": [], "nodes": [ { "id": "a6dbc64a-e182-448c-98cd-b8298dac9f3f", "name": "Schedule Trigger", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -400, -80 ], "parameters": { "rule": { "interval": [ { "field": "minutes" } ] } }, "typeVersion": 1.2 }, { "id": "3ef82363-bba6-48b4-8209-0f54614aaaeb", "name": "HTTP Request", "type": "n8n-nodes-base.httpRequest", "position": [ -160, -80 ], "parameters": { "url": "=https://www.zohoapis.com/crm/v2/Notes?per_page=1&sort_by=Modified_Time&sort_order=desc", "options": {}, "authentication": "predefinedCredentialType", "nodeCredentialType": "zohoOAuth2Api" }, "credentials": { "zohoOAuth2Api": { "id": "", "name": "" } }, "typeVersion": 4.3 }, { "id": "97a62994-fcd7-43bd-adb8-43ea79b13ee9", "name": "Code in JavaScript", "type": "n8n-nodes-base.code", "position": [ 112, -80 ], "parameters": { "mode": "runOnceForEachItem", "jsCode": "const note = $json.data?.[0] || {};\n\nreturn {\n text: note.Note_Content || \"\",\n note_id: note.id,\n parent_id: note.Parent_Id?.id,\n module: note.$se_module\n};\n" }, "typeVersion": 2 }, { "id": "7e5674fa-641c-4c4a-a8be-4a1b7b7c52fb", "name": "Basic LLM Chain", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ 464, -80 ], "parameters": { "text": "=Classify the sentiment of this text as: Positive, Neutral, or Negative. Sentiment score should be numeric based on analysis\nReturn ONLY the label and score.\nText: {{$json.text}}", "batching": {}, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.7 }, { "id": "a0f433c3-fdb0-4655-9362-2d83b4f2e943", "name": "Google Gemini Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "position": [ 384, 144 ], "parameters": { "options": {} }, "credentials": { "googlePalmApi": { "id": "", "name": "" } }, "typeVersion": 1 }, { "id": "0bb49b1e-9014-4bfb-a6f9-1492ae199234", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 704, 144 ], "parameters": { "jsonSchemaExample": "{\n \"sentiment_label\":\"neural\",\n \"sentiment_score\":\"1.00\"\n}" }, "typeVersion": 1.3 }, { "id": "3b75f216-b77b-4c8f-aa76-10b7a5e86205", "name": "HTTP Request1", "type": "n8n-nodes-base.httpRequest", "position": [ 1408, -224 ], "parameters": { "url": "=https://www.zohoapis.com/crm/v2/{{ $('Code in JavaScript').item.json.module }}/{{ $('Code in JavaScript').item.json.parent_id }}", "method": "PUT", "options": {}, "jsonBody": "={\n \"data\": [\n {\n \"id\": \"{{ $('Code in JavaScript').item.json.parent_id }}\",\n \"Sentiment_Label\": \"{{ $json.output.sentiment_label }}\",\n \"Sentiment_Score\": \"{{ $json.output.sentiment_score }}\"\n }\n ]\n}\n", "sendBody": true, "specifyBody": "json", "authentication": "predefinedCredentialType", "nodeCredentialType": "zohoOAuth2Api" }, "credentials": { "zohoOAuth2Api": { "id": "", "name": "" } }, "typeVersion": 4.3 }, { "id": "74e227db-ced7-4597-9b69-450b7c9e75f0", "name": "If", "type": "n8n-nodes-base.if", "position": [ 880, -80 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "loose" }, "combinator": "and", "conditions": [ { "id": "241f3207-f4d4-4729-8f4c-f62f2ffa1990", "operator": { "name": "filter.operator.equals", "type": "string", "operation": "equals" }, "leftValue": "={{ $('Basic LLM Chain').item.json.output.sentiment_label }}", "rightValue": "Negative" } ] }, "looseTypeValidation": true }, "typeVersion": 2.2 }, { "id": "0aa66e99-1aea-4056-a0f9-b86fd51241f0", "name": "Send a message", "type": "n8n-nodes-base.gmail", "position": [ 1152, -224 ], "webhookId": "5bbbec88-57a2-48fe-8d4e-d0eb36a97188", "parameters": { "sendTo": "", "message": "=Hi Team,\n🚨 Negative sentiment detected\nRecord: {{ $('Code in JavaScript').item.json.parent_id }}\nNote ID: {{ $('Code in JavaScript').item.json.note_id }}\nSentiment: {{ $('Basic LLM Chain').item.json.output.sentiment_label }}\nScore: {{ $('Basic LLM Chain').item.json.output.sentiment_score }}\nText: {{ $('Code in JavaScript').item.json.text }}", "options": {}, "subject": "🚨 Negative sentiment detected", "emailType": "text" }, "credentials": { "gmailOAuth2": { "id": "", "name": "" } }, "typeVersion": 2.1 }, { "id": "4ed8bd28-a9ed-4c6a-aa38-a3c4787712c9", "name": "HTTP Request2", "type": "n8n-nodes-base.httpRequest", "position": [ 1136, 16 ], "parameters": { "url": "=https://www.zohoapis.com/crm/v2/{{ $('Code in JavaScript').item.json.module }}/{{ $('Code in JavaScript').item.json.parent_id }}", "method": "PUT", "options": {}, "jsonBody": "={\n \"data\": [\n {\n \"id\": \"{{ $('Code in JavaScript').item.json.parent_id }}\",\n \"Sentiment_Label\": \"{{ $json.output.sentiment_label }}\",\n \"Sentiment_Score\": \"{{ $json.output.sentiment_score }}\"\n }\n ]\n}\n", "sendBody": true, "specifyBody": "json", "authentication": "predefinedCredentialType", "nodeCredentialType": "zohoOAuth2Api" }, "credentials": { "zohoOAuth2Api": { "id": "", "name": "" } }, "typeVersion": 4.3 }, { "id": "dd64df91-98a5-4cf6-9371-ffd49d18b289", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -1072, -656 ], "parameters": { "width": 560, "height": 544, "content": "## Workflow Overview\n**How It Works** \nThis workflow monitors Zoho CRM for newly added Notes and analyzes the text to understand customer sentiment in real time. Each time a new note is created—whether by a salesperson, support agent, or automation—the content is captured, cleaned, and sent to an AI sentiment analysis step. The AI evaluates the text and returns a score or label (Positive, Neutral, Negative).\n\nThe workflow then writes this sentiment result back into Zoho CRM, where sentiment Label and sentiment score , 2 custom fields are added in each Module, updating the associated record so teams can instantly see customer mood trends. If the sentiment is negative or dropping, the workflow sends an internal alert so the team can take corrective action before the issue escalates. This turns Zoho CRM into an early-warning system that detects customer dissatisfaction automatically.\n\n**Setup Steps**\n\nConnect Zoho CRM OAuth credentials (Notes/Activities module access required).\n\nAdd 2 custom fields in zoho CRM - Sentiment Label & Sentiment Score \n\nAdd your AI provider credentials (Gemini, OpenAI, or any other LLM).\n\nConfigure the alert recipient (email).\n\nActivate the trigger and add a test note in Zoho CRM to validate the workflow" }, "typeVersion": 1 }, { "id": "52eb558f-8f93-4b94-93e1-b916b530796b", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -480, -208 ], "parameters": { "color": 7, "width": 496, "height": 288, "content": "## Trigger & Fetch\nMonitors Zoho CRM for newly created Notes and pulls the content for processing." }, "typeVersion": 1 }, { "id": "9ec73a9a-7955-4616-bcba-20bce2c5476c", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 48, -208 ], "parameters": { "color": 7, "width": 272, "height": 288, "content": "## Text Preparation\nCleans and formats the text before sending it to the sentiment model." }, "typeVersion": 1 }, { "id": "aeedaa41-1ce6-43e1-a018-3886028200cf", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 352, -224 ], "parameters": { "color": 7, "width": 464, "height": 560, "content": "## Sentiment Analysis\nAI evaluates tone and returns Positive, Neutral, or Negative sentiment with optional confidence score." }, "typeVersion": 1 }, { "id": "8e661a9b-6e0f-4fba-a25a-f09d9534d184", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 864, -352 ], "parameters": { "color": 7, "width": 816, "height": 512, "content": "## Update sentiment in ZOHO CRM\nCheck for the sentiment's positive and negative approach , and updates sentiment Label and score in Zoho CRM. IF negative sentiment found , then gives alert in gmail" }, "typeVersion": 1 } ], "active": false, "pinData": {}, "settings": { "timezone": "Asia/Kolkata", "callerPolicy": "workflowsFromSameOwner", "availableInMCP": false, "executionOrder": "v1" }, "versionId": "eb334b27-1cb6-4264-bbb7-49b96210a128", "connections": { "If": { "main": [ [ { "node": "Send a message", "type": "main", "index": 0 } ], [ { "node": "HTTP Request2", "type": "main", "index": 0 } ] ] }, "HTTP Request": { "main": [ [ { "node": "Code in JavaScript", "type": "main", "index": 0 } ] ] }, "HTTP Request1": { "main": [ [] ] }, "Send a message": { "main": [ [ { "node": "HTTP Request1", "type": "main", "index": 0 } ] ] }, "Basic LLM Chain": { "main": [ [ { "node": "If", "type": "main", "index": 0 } ] ] }, "Schedule Trigger": { "main": [ [ { "node": "HTTP Request", "type": "main", "index": 0 } ] ] }, "Code in JavaScript": { "main": [ [ { "node": "Basic LLM Chain", "type": "main", "index": 0 } ] ] }, "Google Gemini Chat Model": { "ai_languageModel": [ [ { "node": "Basic LLM Chain", "type": "ai_languageModel", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "Basic LLM Chain", "type": "ai_outputParser", "index": 0 } ] ] } } }, "lastUpdatedBy": 1, "workflowInfo": { "nodeCount": 15, "nodeTypes": { "n8n-nodes-base.if": { "count": 1 }, "n8n-nodes-base.code": { "count": 1 }, "n8n-nodes-base.gmail": { "count": 1 }, "n8n-nodes-base.stickyNote": { "count": 5 }, "n8n-nodes-base.httpRequest": { "count": 3 }, "n8n-nodes-base.scheduleTrigger": { "count": 1 }, "@n8n/n8n-nodes-langchain.chainLlm": { "count": 1 }, "@n8n/n8n-nodes-langchain.lmChatGoogleGemini": { "count": 1 }, "@n8n/n8n-nodes-langchain.outputParserStructured": { "count": 1 } } }, "status": "published", "user": { "name": "WeblineIndia", "username": "weblineindia", "bio": "A Leading Software Engineering, Consulting & Outsourcing Services Company in USA & India serving Clients Globally since 1999.", "verified": true, "links": [ "https://www.weblineindia.com/" ], "avatar": "https://gravatar.com/avatar/a229d43aefca4588581583c58bb37b4773aebbdf4c1fef86a08bb1d38eae91fa?r=pg&d=retro&size=200" }, "nodes": [ { "id": 19, "icon": "file:httprequest.svg", "name": "n8n-nodes-base.httpRequest", "codex": { "data": { "alias": [ "API", "Request", "URL", "Build", "cURL" ], "resources": { "generic": [ { "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/", "icon": "☀️", "label": "2021: The Year to Automate the New You with n8n" }, { "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/", "icon": "🧬", "label": "Why business process automation with n8n can change your daily life" }, { "url": "https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/", "icon": "📈", "label": "Automatically pulling and visualizing data with n8n" }, { "url": "https://n8n.io/blog/learn-how-to-automatically-cross-post-your-content-with-n8n/", "icon": "✍️", "label": "Learn how to automatically cross-post your content with n8n" }, { "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/", "icon": "🧾", "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n" }, { "url": "https://n8n.io/blog/running-n8n-on-ships-an-interview-with-maranics/", "icon": "🛳", "label": "Running n8n on ships: An interview with Maranics" }, { "url": "https://n8n.io/blog/what-are-apis-how-to-use-them-with-no-code/", "icon": " 🪢", "label": "What are APIs and how to use them with no code" }, { "url": "https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/", "icon": "⚡️", "label": "5 tasks you can automate with the new Notion API " }, { "url": "https://n8n.io/blog/world-poetry-day-workflow/", "icon": "📜", "label": "Celebrating World Poetry Day with a daily poem in Telegram" }, { "url": "https://n8n.io/blog/automate-google-apps-for-productivity/", "icon": "💡", "label": "15 Google apps you can combine and automate to increase productivity" }, { "url": "https://n8n.io/blog/automate-designs-with-bannerbear-and-n8n/", "icon": "🎨", "label": "Automate Designs with Bannerbear and n8n" }, { "url": "https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/", "icon": " 🕸️", "label": "How uProc scraped a multi-page website with a low-code workflow" }, { "url": "https://n8n.io/blog/building-an-expense-tracking-app-in-10-minutes/", "icon": "📱", "label": "Building an expense tracking app in 10 minutes" }, { "url": "https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/", "icon": "🤖", "label": "5 workflow automations for Mattermost that we love at n8n" }, { "url": "https://n8n.io/blog/how-to-use-the-http-request-node-the-swiss-army-knife-for-workflow-automation/", "icon": "🧰", "label": "How to use the HTTP Request Node - The Swiss Army Knife for Workflow Automation" }, { "url": "https://n8n.io/blog/learn-how-to-use-webhooks-with-mattermost-slash-commands/", "icon": "🦄", "label": "Learn how to use webhooks with Mattermost slash commands" }, { "url": "https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/", "icon": "📈", "label": "How a Membership Development Manager automates his work and investments" }, { "url": "https://n8n.io/blog/a-low-code-bitcoin-ticker-built-with-questdb-and-n8n-io/", "icon": "📈", "label": "A low-code bitcoin ticker built with QuestDB and n8n.io" }, { "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/", "icon": "🎡", "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI" }, { "url": "https://n8n.io/blog/automations-for-activists/", "icon": "✨", "label": "How Common Knowledge use workflow automation for activism" }, { "url": "https://n8n.io/blog/creating-scheduled-text-affirmations-with-n8n/", "icon": "🤟", "label": "Creating scheduled text affirmations with n8n" }, { "url": "https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/", "icon": "🛵", "label": "How Goomer automated their operations with over 200 n8n workflows" }, { "url": "https://n8n.io/blog/aws-workflow-automation/", "label": "7 no-code workflow automations for Amazon Web Services" } ], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest/" } ] }, "categories": [ "Development", "Core Nodes" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "Core Nodes": [ "Helpers" ] } } }, "group": "[\"output\"]", "defaults": { "name": "HTTP Request", "color": "#0004F5" }, "iconData": { "type": "file", "fileBuffer": "data:image/svg+xml;base64,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" }, "displayName": "HTTP Request", "typeVersion": 4, "nodeCategories": [ { "id": 5, "name": "Development" }, { "id": 9, "name": "Core Nodes" } ] }, { "id": 20, "icon": "fa:map-signs", "name": "n8n-nodes-base.if", "codex": { "data": { "alias": [ "Router", "Filter", "Condition", "Logic", "Boolean", "Branch" ], "details": "The IF node can be used to implement binary conditional logic in your workflow. 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Your business doesn't need you to operate" }, { "url": "https://n8n.io/blog/using-automation-to-boost-productivity-in-the-workplace/", "icon": "💪", "label": "Using Automation to Boost Productivity in the Workplace" } ], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.gmail/" } ], "credentialDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/" } ] }, "categories": [ "Communication", "HITL" ], "nodeVersion": "1.0", "codexVersion": "1.0", "subcategories": { "HITL": [ "Human in the Loop" ] } } }, "group": "[\"transform\"]", "defaults": { "name": "Gmail" }, "iconData": { "type": "file", "fileBuffer": 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