Marketing-Empfehlungen-aus-Feedback-mit-Gemini-KI-und-Google-Sheets-extrahieren

Name: Marketing-Empfehlungen-aus-Feedback-mit-Gemini-KI-und-Google-Sheets-extrahieren
Rating: 4.5 (10 reviews)
Author: Yaron Been

Fortgeschritten

Dies ist ein AI, Marketing-Bereich Automatisierungsworkflow mit 7 Nodes. Hauptsächlich werden Gmail, GoogleSheets, ChainLlm, GoogleSheetsTrigger, LmChatGoogleGemini und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. Verwenden Sie Gemini KI und Google Sheets, um Marketing-Empfehlungen aus Feedback zu extrahieren

Voraussetzungen

•Google-Konto + Gmail API-Anmeldedaten
•Google Sheets API-Anmeldedaten
•Google Gemini API Key

Verwendete Nodes (7)

Kategorie

Künstliche Intelligenz

Marketing

Workflow-Vorschau

Visualisierung der Node-Verbindungen, mit Zoom und Pan

Google Tabellen Trigger

Basic LLM Kette

Google Gemini-Chat-Modell

Google Tabellen

Gmail

React Flow

Workflow exportieren

Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n

{
  "meta": {
    "instanceId": "5aaf4236c70e34e423fbdb2c7b754d19253a933bb1476d548f75848a01e473cf",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "afcb0c52-765f-48be-a523-ede984a607eb",
      "name": "Notiz - Unterstützung",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -740,
        740
      ],
      "parameters": {
        "color": 4,
        "width": 560,
        "height": 900,
        "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\nAuthor:\nYaron Been\n![Yaron Been](https://1.gravatar.com/avatar/a4e4dcaa1f76ff5266bbf80e8df86d22efda890474c68f7796e72fd82e3f2375?size=512&d=initials)"
      },
      "typeVersion": 1
    },
    {
      "id": "648b0ae3-13aa-429b-b516-de12dfe8a96b",
      "name": "Notiz - Beschreibung",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -140,
        920
      ],
      "parameters": {
        "width": 480,
        "height": 500,
        "content": "Workflow Name: Testimonial Extractor\n\nDescription:\nThis workflow listens for new rows added to a Google Sheet form response, extracts a short emotional testimonial using a language model, writes it back to the sheet, and sends an email notification with the extracted quote."
      },
      "typeVersion": 1
    },
    {
      "id": "cef904bc-df66-4ac8-b013-5d5bb0f6993c",
      "name": "Google Tabellen Trigger",
      "type": "n8n-nodes-base.googleSheetsTrigger",
      "position": [
        160,
        1120
      ],
      "parameters": {
        "event": "rowAdded",
        "options": {},
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        },
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": 352165437,
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/14nmSXdGURNj3a1uQsxNcspdN5HrjGl8TA8t-hdQUF2s/edit#gid=352165437",
          "cachedResultName": "Form Responses 1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "14nmSXdGURNj3a1uQsxNcspdN5HrjGl8TA8t-hdQUF2s",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/14nmSXdGURNj3a1uQsxNcspdN5HrjGl8TA8t-hdQUF2s/edit?usp=drivesdk",
          "cachedResultName": "Testimonial"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "dc335413-fce4-46c7-996d-c5f014a0abbc",
      "name": "Basic LLM Kette",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        480,
        960
      ],
      "parameters": {
        "text": "=Extract a short, emotionally engaging testimonial quote from the following user feedback. Ignore neutral or irrelevant text. Only return the quote.\n\"{{ $json.Feedback }}\"\n\nFeedback: \"{{ $json[\"Feedback\"] }}\"\n",
        "promptType": "define"
      },
      "typeVersion": 1.5
    },
    {
      "id": "63b58b70-0ab0-4395-8aff-517769159578",
      "name": "Google Gemini-Chat-Modell",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        980,
        1360
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash"
      },
      "typeVersion": 1
    },
    {
      "id": "ba7da0dc-1bcf-4214-8c7b-8d94361981c2",
      "name": "Google Tabellen",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        1140,
        1120
      ],
      "parameters": {
        "columns": {
          "value": {},
          "schema": [
            {
              "id": "Timestamp",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Timestamp",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Name",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Email",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Email",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Feedback",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Feedback",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Testimony",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Testimony",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "text",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "text",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "autoMapInputData",
          "matchingColumns": [
            "Testimony"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "appendOrUpdate",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": 352165437,
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/14nmSXdGURNj3a1uQsxNcspdN5HrjGl8TA8t-hdQUF2s/edit#gid=352165437",
          "cachedResultName": "Form Responses 1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "14nmSXdGURNj3a1uQsxNcspdN5HrjGl8TA8t-hdQUF2s",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/14nmSXdGURNj3a1uQsxNcspdN5HrjGl8TA8t-hdQUF2s/edit?usp=drivesdk",
          "cachedResultName": "Testimonial"
        }
      },
      "typeVersion": 4.5
    },
    {
      "id": "a9a74795-0688-4514-85fe-3146a30bb9c1",
      "name": "Gmail",
      "type": "n8n-nodes-base.gmail",
      "position": [
        1380,
        1020
      ],
      "webhookId": "acce1be8-39ab-4f30-8549-9e06614abbf3",
      "parameters": {
        "sendTo": "nataylamesa@gmail.com",
        "message": "={{ $json.text }}",
        "options": {},
        "subject": "New Testimonial Extracted"
      },
      "typeVersion": 2.1
    }
  ],
  "pinData": {},
  "connections": {
    "Google Sheets": {
      "main": [
        [
          {
            "node": "a9a74795-0688-4514-85fe-3146a30bb9c1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Basic LLM Chain": {
      "main": [
        [
          {
            "node": "Google Sheets",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Sheets Trigger": {
      "main": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    }
  }
}

Häufig gestellte Fragen

Wie verwende ich diesen Workflow?

Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.

Für welche Szenarien ist dieser Workflow geeignet?

Fortgeschritten - Künstliche Intelligenz, Marketing

Ist es kostenpflichtig?

Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.