{"workflow":{"id":14331,"name":"Analyze Retell AI call transcripts with OpenAI and sync insights to HubSpot","views":3,"recentViews":0,"totalViews":3,"createdAt":"2026-03-25T22:36:05.538Z","description":"## Who is this for\n\nSales teams and agencies using Retell AI for voice outreach who want to automatically analyze every call and push insights into their CRM. Ideal for businesses running AI voice agents that need structured post-call intelligence without manual review.\n\n## How it works\n\nWhen a Retell AI voice call ends, the platform sends a `call_analyzed` webhook to this workflow. It parses the transcript, call duration, and metadata, then sends everything to OpenAI for analysis. The AI returns structured data: sentiment, lead score (1-10), key topics, buying signals, objections, action items, and a recommended next step.\n\nThe enriched data is synced to HubSpot, updating the contact record. If the lead score meets your threshold, the workflow alerts your sales team on Slack and creates a priority follow-up task in HubSpot. Every call is logged to Google Sheets for tracking.\n\n## How to set up\n\n1. Open the **Set user config variables** node and enter your Slack channel, lead score threshold (default: 7), Google Sheet ID, and sheet name.\n2. Connect your OpenAI, HubSpot, Slack, and Google Sheets credentials in each respective node.\n3. Copy the production webhook URL from the trigger node and add it to your Retell AI dashboard under Webhook Settings for the `call_analyzed` event.\n4. Create a Google Sheet with columns: Date, Call ID, From Number, Duration, Sentiment, Lead Score, Summary, Action Items, Qualified.\n5. Activate the workflow and make a test call to verify the full pipeline.\n\n## Requirements\n\n- Retell AI account with an active voice agent\n- OpenAI API key (GPT-4o-mini or GPT-4o)\n- HubSpot CRM account\n- Slack workspace with a bot token\n- Google Sheets\n\n## How to customize\n\n- Adjust the lead score threshold in the config node to control when hot lead alerts fire.\n- Modify the AI analysis prompt to extract industry-specific fields (e.g., appointment booked, insurance type, budget range).\n- Add a Twilio SMS branch for instant text follow-ups to hot leads.\n- Connect additional CRM nodes if you use Pipedrive, Salesforce, or another platform instead of HubSpot.","workflow":{"name":"Analyze Retell AI voice call transcripts and sync insights to HubSpot","tags":[],"nodes":[{"id":"a1000001-0000-0000-0000-000000000001","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-480,-340],"parameters":{"color":6,"width":540,"height":480,"content":"## Retell AI Call Analyzer → HubSpot\n\nAutomatically analyze voice call transcripts and sync AI-powered insights to your CRM.\n\n### How it works\n1. **Webhook:** Receives the call transcript from Retell AI when a call ends.\n2. **Parse:** Extracts transcript text, caller phone number, and call metadata.\n3. **AI:** OpenAI analyzes sentiment, scores the lead 1-10, and lists action items.\n4. **CRM:** Updates the HubSpot contact record with call insights.\n5. **Route:** Hot leads trigger a Slack alert + HubSpot follow-up task. Every call is logged to Sheets.\n\n### Setup steps\n1. **Config:** Open the \"Set user config variables\" node — enter your Slack channel, score threshold, and Sheet ID.\n2. **Credentials:** Connect OpenAI, HubSpot, Slack, and Google Sheets in each node.\n3. **Retell:** Copy the webhook URL and paste it in your Retell dashboard → Webhook Settings → `call_analyzed`.\n4. **Test:** Activate the workflow, make a test call, and check that data flows through."},"typeVersion":1},{"id":"a1000001-0000-0000-0000-000000000002","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[40,60],"parameters":{"color":7,"width":460,"height":200,"content":"## 1. Trigger & Config\nRetell sends a webhook when a call finishes. The config node holds your editable settings."},"typeVersion":1},{"id":"a1000001-0000-0000-0000-000000000003","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[560,60],"parameters":{"color":7,"width":460,"height":200,"content":"## 2. AI Analysis\nOpenAI reads the full transcript and returns structured JSON: sentiment, lead score, action items, and a summary."},"typeVersion":1},{"id":"a1000001-0000-0000-0000-000000000004","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[1100,60],"parameters":{"color":7,"width":620,"height":200,"content":"## 3. CRM & Routing\nUpdates the HubSpot contact. Qualified leads trigger a Slack alert and a HubSpot follow-up task."},"typeVersion":1},{"id":"a1000001-0000-0000-0000-000000000005","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[1100,480],"parameters":{"color":7,"width":320,"height":160,"content":"## 4. Logging\nEvery call is appended to Google Sheets for reporting and tracking."},"typeVersion":1},{"id":"a1000001-1000-0000-0000-000000000001","name":"Receive Retell call webhook","type":"n8n-nodes-base.webhook","position":[80,300],"webhookId":"retell-call-analyzed","parameters":{"path":"retell-call-analyzed","options":{},"httpMethod":"POST","responseMode":"responseNode"},"typeVersion":2},{"id":"a1000001-1000-0000-0000-000000000002","name":"Set user config variables","type":"n8n-nodes-base.set","position":[300,300],"parameters":{"mode":"manual","options":{},"assignments":{"assignments":[{"id":"cfg-1","name":"slackChannel","type":"string","value":"#sales-alerts"},{"id":"cfg-2","name":"leadScoreThreshold","type":"number","value":"7"},{"id":"cfg-3","name":"googleSheetId","type":"string","value":"YOUR_GOOGLE_SHEET_ID_HERE"},{"id":"cfg-4","name":"sheetName","type":"string","value":"Call Log"}]},"duplicateItem":false,"includeOtherFields":true},"typeVersion":3.4},{"id":"a1000001-1000-0000-0000-000000000003","name":"Parse call transcript and metadata","type":"n8n-nodes-base.code","position":[520,300],"parameters":{"jsCode":"// Parse Retell call_analyzed webhook payload\nconst input = $input.first().json;\nconst body = input.body || input;\n\nconst callId = body.call_id || body.call?.call_id || 'unknown';\nconst agentId = body.agent_id || body.call?.agent_id || 'unknown';\nconst fromNumber = body.from_number || body.call?.from_number || 'unknown';\nconst toNumber = body.to_number || body.call?.to_number || 'unknown';\nconst callDuration = body.call_duration_ms || body.duration_ms || 0;\nconst callStatus = body.call_status || body.status || 'completed';\nconst disconnectReason = body.disconnect_reason || 'unknown';\n\n// Extract transcript\nlet transcript = '';\nif (body.transcript) {\n  transcript = body.transcript;\n} else if (body.call?.transcript) {\n  transcript = body.call.transcript;\n} else if (Array.isArray(body.transcript_object)) {\n  transcript = body.transcript_object\n    .map(t => `${t.role}: ${t.content}`)\n    .join('\\n');\n}\n\n// Pass config variables through\nconst slackChannel = input.slackChannel || '#sales-alerts';\nconst leadScoreThreshold = input.leadScoreThreshold || 7;\nconst googleSheetId = input.googleSheetId || '';\nconst sheetName = input.sheetName || 'Call Log';\n\nreturn [{\n  json: {\n    callId,\n    agentId,\n    fromNumber,\n    toNumber,\n    callDurationSeconds: Math.round(callDuration / 1000),\n    callStatus,\n    disconnectReason,\n    transcript,\n    slackChannel,\n    leadScoreThreshold,\n    googleSheetId,\n    sheetName,\n    analyzedAt: new Date().toISOString()\n  }\n}];"},"typeVersion":2},{"id":"a1000001-1000-0000-0000-000000000004","name":"Analyze call with OpenAI","type":"@n8n/n8n-nodes-langchain.openAi","position":[760,300],"parameters":{"model":{"__rl":true,"mode":"list","value":"gpt-4o-mini"},"options":{"maxTokens":1500,"temperature":0.2},"messages":{"values":[{"content":"=You are a sales call analyst. Analyze this voice call transcript and return a JSON object with these fields:\n\n1. \"sentiment\": one of \"positive\", \"neutral\", \"negative\"\n2. \"leadScore\": integer 1-10 (10 = very qualified buyer)\n3. \"summary\": 2-3 sentence call summary\n4. \"actionItems\": array of strings listing follow-up actions\n5. \"keyTopics\": array of main topics discussed\n6. \"buyingSignals\": array of phrases indicating purchase intent\n7. \"objections\": array of concerns or objections raised\n8. \"recommendedNextStep\": one short sentence\n\nTranscript:\n{{ $json.transcript }}\n\nCall duration: {{ $json.callDurationSeconds }} seconds\nCall status: {{ $json.callStatus }}\n\nReturn ONLY valid JSON, no markdown formatting."}]},"resource":"chat"},"credentials":{"openAiApi":{"id":"","name":""}},"typeVersion":1.8},{"id":"a1000001-1000-0000-0000-000000000005","name":"Extract and structure AI analysis","type":"n8n-nodes-base.code","position":[1000,300],"parameters":{"jsCode":"// Extract and structure the AI analysis response\nconst input = $input.first().json;\nconst prev = $('Parse call transcript and metadata').first().json;\n\nlet analysis;\ntry {\n  const content = input.message?.content || input.text || input.content || JSON.stringify(input);\n  const jsonStr = content.replace(/```json\\n?/g, '').replace(/```\\n?/g, '').trim();\n  analysis = JSON.parse(jsonStr);\n} catch (e) {\n  analysis = {\n    sentiment: 'neutral',\n    leadScore: 5,\n    summary: 'AI analysis could not be parsed. Manual review recommended.',\n    actionItems: ['Review call recording manually'],\n    keyTopics: [],\n    buyingSignals: [],\n    objections: [],\n    recommendedNextStep: 'Follow up with prospect'\n  };\n}\n\nreturn [{\n  json: {\n    ...prev,\n    sentiment: analysis.sentiment,\n    leadScore: analysis.leadScore,\n    summary: analysis.summary,\n    actionItems: analysis.actionItems || [],\n    keyTopics: analysis.keyTopics || [],\n    buyingSignals: analysis.buyingSignals || [],\n    objections: analysis.objections || [],\n    recommendedNextStep: analysis.recommendedNextStep || 'Follow up',\n    isQualified: analysis.leadScore >= (prev.leadScoreThreshold || 7)\n  }\n}];"},"typeVersion":2},{"id":"a1000001-1000-0000-0000-000000000006","name":"Update HubSpot contact with insights","type":"n8n-nodes-base.hubspot","position":[1280,200],"parameters":{"resource":"contact","contactId":"={{ $json.fromNumber }}","operation":"update","additionalFields":{"properties":[{"key":"last_call_summary","value":"={{ $json.summary }}"},{"key":"lead_score","value":"={{ $json.leadScore }}"},{"key":"last_call_sentiment","value":"={{ $json.sentiment }}"},{"key":"last_call_date","value":"={{ $json.analyzedAt }}"}]}},"credentials":{"hubspotApi":{"id":"","name":""}},"typeVersion":2},{"id":"a1000001-1000-0000-0000-000000000007","name":"Check if lead is qualified","type":"n8n-nodes-base.if","position":[1280,400],"parameters":{"options":{},"conditions":{"options":{"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"cond-1","operator":{"type":"boolean","operation":"true"},"leftValue":"={{ $json.isQualified }}","rightValue":true}]}},"typeVersion":2},{"id":"a1000001-1000-0000-0000-000000000008","name":"Alert sales team about hot lead","type":"n8n-nodes-base.slack","position":[1540,300],"parameters":{"text":"=:fire: *Hot Lead Detected!*\n\n*Phone:* {{ $('Extract and structure AI analysis').first().json.fromNumber }}\n*Lead Score:* {{ $('Extract and structure AI analysis').first().json.leadScore }}/10\n*Sentiment:* {{ $('Extract and structure AI analysis').first().json.sentiment }}\n\n*Summary:* {{ $('Extract and structure AI analysis').first().json.summary }}\n\n*Buying Signals:*\n{{ $('Extract and structure AI analysis').first().json.buyingSignals.join('\\n• ') }}\n\n*Recommended Next Step:* {{ $('Extract and structure AI analysis').first().json.recommendedNextStep }}","channel":{"__rl":true,"mode":"name","value":"={{ $('Extract and structure AI analysis').first().json.slackChannel }}"},"resource":"message","otherOptions":{}},"credentials":{"slackApi":{"id":"","name":""}},"typeVersion":2.2},{"id":"a1000001-1000-0000-0000-000000000009","name":"Create follow-up task in HubSpot","type":"n8n-nodes-base.hubspot","position":[1540,480],"parameters":{"resource":"task","operation":"create","additionalFields":{"body":"={{ $('Extract and structure AI analysis').first().json.recommendedNextStep }}\n\nAction Items:\n{{ $('Extract and structure AI analysis').first().json.actionItems.join('\\n- ') }}","status":"NOT_STARTED","subject":"=Follow up with hot lead: {{ $('Extract and structure AI analysis').first().json.fromNumber }}","priority":"HIGH"}},"credentials":{"hubspotApi":{"id":"","name":""}},"typeVersion":2},{"id":"a1000001-1000-0000-0000-000000000010","name":"Log call analysis to tracking sheet","type":"n8n-nodes-base.googleSheets","position":[1280,600],"parameters":{"columns":{"value":{"Date":"={{ $('Extract and structure AI analysis').first().json.analyzedAt }}","Call ID":"={{ $('Extract and structure AI analysis').first().json.callId }}","Summary":"={{ $('Extract and structure AI analysis').first().json.summary }}","Qualified":"={{ $('Extract and structure AI analysis').first().json.isQualified }}","Sentiment":"={{ $('Extract and structure AI analysis').first().json.sentiment }}","Lead Score":"={{ $('Extract and structure AI analysis').first().json.leadScore }}","From Number":"={{ $('Extract and structure AI analysis').first().json.fromNumber }}","Action Items":"={{ $('Extract and structure AI analysis').first().json.actionItems.join('; ') }}","Duration (sec)":"={{ $('Extract and structure AI analysis').first().json.callDurationSeconds }}"},"mappingMode":"defineBelow"},"options":{},"operation":"append","sheetName":{"__rl":true,"mode":"name","value":"={{ $('Extract and structure AI analysis').first().json.sheetName }}"},"documentId":{"__rl":true,"mode":"id","value":"={{ $('Extract and structure AI analysis').first().json.googleSheetId }}"}},"credentials":{"googleSheetsOAuth2Api":{"id":"","name":""}},"typeVersion":4.5},{"id":"a1000001-1000-0000-0000-000000000011","name":"Respond to Retell webhook","type":"n8n-nodes-base.respondToWebhook","position":[1540,140],"parameters":{"respondWith":"json","responseBody":"={\"status\": \"processed\", \"callId\": \"{{ $('Parse call transcript and metadata').first().json.callId }}\"}"},"typeVersion":1.1}],"settings":{"executionOrder":"v1"},"staticData":null,"connections":{"Analyze call with OpenAI":{"main":[[{"node":"Extract and structure AI analysis","type":"main","index":0}]]},"Set user config variables":{"main":[[{"node":"Parse call transcript and metadata","type":"main","index":0}]]},"Check if lead is qualified":{"main":[[{"node":"Alert sales team about hot lead","type":"main","index":0},{"node":"Create follow-up task in HubSpot","type":"main","index":0}],[]]},"Receive Retell call webhook":{"main":[[{"node":"Set user config variables","type":"main","index":0}]]},"Extract and structure AI analysis":{"main":[[{"node":"Update HubSpot contact with insights","type":"main","index":0},{"node":"Check if lead is qualified","type":"main","index":0},{"node":"Log call analysis to tracking sheet","type":"main","index":0}]]},"Parse call transcript and metadata":{"main":[[{"node":"Analyze call with OpenAI","type":"main","index":0}]]},"Update HubSpot contact with insights":{"main":[[{"node":"Respond to Retell webhook","type":"main","index":0}]]}}},"lastUpdatedBy":1,"workflowInfo":{"nodeCount":16,"nodeTypes":{"n8n-nodes-base.if":{"count":1},"n8n-nodes-base.set":{"count":1},"n8n-nodes-base.code":{"count":2},"n8n-nodes-base.slack":{"count":1},"n8n-nodes-base.hubspot":{"count":2},"n8n-nodes-base.webhook":{"count":1},"n8n-nodes-base.stickyNote":{"count":5},"n8n-nodes-base.googleSheets":{"count":1},"@n8n/n8n-nodes-langchain.openAi":{"count":1},"n8n-nodes-base.respondToWebhook":{"count":1}}},"status":"published","readyToDemo":null,"user":{"name":"Servify","username":"servifylabs","bio":"AI Automation Agency. 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