E-mail personnalisé
Ceci est unLead Nurturing, Multimodal AIworkflow d'automatisation du domainecontenant 8 nœuds.Utilise principalement des nœuds comme If, Set, GoogleSheets, ScheduleTrigger, ChainLlm. Utiliser Gemini AI et Google Sheets pour créer des e-mails de prospection commerciale personnalisés
- •Informations d'identification Google Sheets API
- •Clé API Google Gemini
Catégorie
{
"name": "Personalised Mail",
"nodes": [
{
"id": "c3a221a2-d3e3-47f3-a897-6781a29857a4",
"name": "Lire les prospects depuis la feuille",
"type": "n8n-nodes-base.googleSheets",
"position": [
-400,
0
],
"parameters": {
"options": {},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "Your_Sheet_GID",
"cachedResultUrl": "Your_Sheet_URL",
"cachedResultName": "Your_Sheet_Name"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "YOUR_SPREADSHEET_ID_HERE",
"cachedResultUrl": "Your_Spreadsheet_URL",
"cachedResultName": "Your_Spreadsheet_Name"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "Your_Credentials_Id",
"name": "Google Sheets account"
}
},
"typeVersion": 4
},
{
"id": "23b2b8e8-e26c-4586-9ec1-dba83ab0069c",
"name": "Préparer les données pour la feuille",
"type": "n8n-nodes-base.set",
"position": [
400,
0
],
"parameters": {
"values": {
"string": [
{
"name": "updated_email",
"value": "={{ $input.item.json.text }}"
}
]
},
"options": {}
},
"typeVersion": 2
},
{
"id": "7e937d3d-3483-442e-b89c-57ce699609ed",
"name": "Mettre à jour la feuille avec l'e-mail",
"type": "n8n-nodes-base.googleSheets",
"position": [
620,
0
],
"parameters": {
"columns": {
"value": {
"Email": "={{ $('Read Leads from Sheet').item.json.Email }}",
"subject": "= {{ $json.output.subject }}",
"email_body": "={{ $json.output.email_body }}"
},
"schema": [
{
"id": "Name",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Title",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Company",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Company",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Location",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Location",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Education",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Education",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "LinkedIn_Connections",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "LinkedIn_Connections",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Industry_Focus",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Industry_Focus",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Key_Expertise",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Key_Expertise",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "LinkedIn_URL",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "LinkedIn_URL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Email",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Email",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Company_Type",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Company_Type",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Focus_Areas",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Focus_Areas",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Growth_Stage",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Growth_Stage",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Pain_Points",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Pain_Points",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Location_Opportunities",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Location_Opportunities",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Email_Template",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Email_Template",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "LinkedIn_DM_Template",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "LinkedIn_DM_Template",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Company_Website",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Company_Website",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "email_body",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "email_body",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "subject",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "subject",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "row_number",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "row_number",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"Email"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "Your_Sheet_GID",
"cachedResultUrl": "Your_Sheet_URL",
"cachedResultName": "Your_Sheet_Name"
},
"documentId": {
"__rl": true,
"mode": "id",
"value": "=1p6vuSjRfTiSUrPa3CR4wQA8c9NyuS18K2UMhP_bWx08"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "Your_Credentials_Id",
"name": "Google Sheets account"
}
},
"typeVersion": 4
},
{
"id": "9120c44a-92a4-4f06-83a5-045bd7e17a07",
"name": "Chaîne LLM de base",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
40,
0
],
"parameters": {
"text": "=You are an expert email copywriter for Intuz, a company offering AI Engineering and AI Service solutions.\n\nYour task is to generate the components for a single, concise, professional, and conversational email outreach (100-120 words).\n\n---\n**CONTEXT & DATA**\n* Prospect Name: {{ $('Read Leads from Sheet').item.json.Name }}\n* Company Name: {{ $('Read Leads from Sheet').item.json.Company }}\n* Persona / Title: {{ $('Read Leads from Sheet').item.json.Title }}\n* CTA Link: [https://calendly.com/YOUR_LINK]\n\n---\n**INSTRUCTIONS**\n* **Pain Point:** Focus on one of these: slow AI feature rollouts, difficulty integrating AI, scaling challenges, or security concerns.\n* **Value Proposition:** Highlight how Intuz's AI Engineering services solve that specific pain point (e.g., rapid development, seamless integration, scalable workflows).\n* **Structure:** The email body must start with a question addressing the pain point, briefly explain the solution, and end with a CTA for a 15-minute call using the provided link.\n* **Tone:** Conversational, empathetic, and professional.\n* **Subject Line:** Generate a catchy, question-based subject line (under 8 words) tied to the pain point.\n* **Personalization:** Use the prospect's data to tailor the message.\n* **CRITICAL FORMATTING:** Structure the `email_body` into 3 distinct paragraphs. Use the markdown newline character `\\n\\n` to separate each paragraph for clean spacing and readability.\n* **Constraints:** Keep the body 100-120 words. No salutation (e.g., \"Hi Tobias,\") or sign-off (e.g., \"Best,\") should be included in the email body.\n\n---\n**REQUIRED OUTPUT**\nYou MUST format your response as a valid JSON object containing two keys: \"subject\" and \"email_body\".",
"batching": {},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.7
},
{
"id": "3434b60b-85ea-4221-94c4-3abf64f8ff17",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
60,
220
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.5-flash"
},
"credentials": {
"googlePalmApi": {
"id": "Your_Gemini_API",
"name": "Your Google Gemini API"
}
},
"typeVersion": 1
},
{
"id": "e62f603b-d063-4f90-9d13-ce599b536bed",
"name": "Analyseur de sortie structurée",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
180,
220
],
"parameters": {
"jsonSchemaExample": "{\n \"subject\": \"A short, catchy, question-based subject line\",\n \"email_body\": \"The full email body, 100-120 words, without any salutation or sign-off.\"\n}"
},
"typeVersion": 1.3
},
{
"id": "323a2628-a30a-4b20-8a56-2d0677c6c5af",
"name": "Déclencheur programmé",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-620,
0
],
"parameters": {
"rule": {
"interval": [
{
"field": "minutes",
"minutesInterval": 30
}
]
}
},
"typeVersion": 1.2
},
{
"id": "cbca8f8d-959d-45b9-a801-20386034a844",
"name": "Si",
"type": "n8n-nodes-base.if",
"position": [
-180,
0
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "0640b75d-662e-4625-a038-92c099b79f25",
"operator": {
"type": "string",
"operation": "empty",
"singleValue": true
},
"leftValue": "={{ $json.email_body }}",
"rightValue": ""
},
{
"id": "6d30f170-03fd-4e89-9a56-ab87e8c7c01a",
"operator": {
"type": "string",
"operation": "empty",
"singleValue": true
},
"leftValue": "={{ $json.subject }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
}
],
"active": true,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"connections": {
"cbca8f8d-959d-45b9-a801-20386034a844": {
"main": [
[
{
"node": "9120c44a-92a4-4f06-83a5-045bd7e17a07",
"type": "main",
"index": 0
}
]
]
},
"9120c44a-92a4-4f06-83a5-045bd7e17a07": {
"main": [
[
{
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"type": "main",
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}
]
]
},
"323a2628-a30a-4b20-8a56-2d0677c6c5af": {
"main": [
[
{
"node": "c3a221a2-d3e3-47f3-a897-6781a29857a4",
"type": "main",
"index": 0
}
]
]
},
"c3a221a2-d3e3-47f3-a897-6781a29857a4": {
"main": [
[
{
"node": "cbca8f8d-959d-45b9-a801-20386034a844",
"type": "main",
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}
]
]
},
"23b2b8e8-e26c-4586-9ec1-dba83ab0069c": {
"main": [
[
{
"node": "7e937d3d-3483-442e-b89c-57ce699609ed",
"type": "main",
"index": 0
}
]
]
},
"7e937d3d-3483-442e-b89c-57ce699609ed": {
"main": [
[]
]
},
"3434b60b-85ea-4221-94c4-3abf64f8ff17": {
"ai_languageModel": [
[
{
"node": "9120c44a-92a4-4f06-83a5-045bd7e17a07",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"e62f603b-d063-4f90-9d13-ce599b536bed": {
"ai_outputParser": [
[
{
"node": "9120c44a-92a4-4f06-83a5-045bd7e17a07",
"type": "ai_outputParser",
"index": 0
}
]
]
}
}
}Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Intermédiaire - Nurturing de leads, IA Multimodale
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
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