Lead-Empfindlichkeitsklassifizierer

Name: Lead-Empfindlichkeitsklassifizierer
Rating: 4.5 (10 reviews)
Author: Danielle Gomes

Fortgeschritten

Dies ist ein AI, Marketing-Bereich Automatisierungsworkflow mit 11 Nodes. Hauptsächlich werden Set, Merge, Webhook, Supabase, WhatsApp und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. Lead-Stimmung mit Google Gemini klassifizieren und WhatsApp-Antworten über Typeform und Supabase senden

Voraussetzungen

•HTTP Webhook-Endpunkt (wird von n8n automatisch generiert)
•Supabase URL und API Key
•Google Gemini API Key

Verwendete Nodes (11)

Kategorie

Künstliche Intelligenz

Marketing

Workflow-Vorschau

Visualisierung der Node-Verbindungen, mit Zoom und Pan

Google Gemini Chat Model

Neuen Potenzialkunden empfangen (Typeform)

Potenzialkundendaten aufbereiten

Stimmung klassifizieren (Gemini oder anderes KI-Modell)

Heißen Potenzialkunden speichern

Neutralen Potenzialkunden speichern

Kalten Potenzialkunden speichern

Potenzialkundendaten zusammenführen

WhatsApp-Nachricht senden

React Flow

Workflow exportieren

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

{
  "meta": {
    "instanceId": "47132c409ea4cfc382a6c48656c8a35b5da4c1fa7ef892882b424c42ae8a05b2",
    "templateCredsSetupCompleted": true
  },
  "name": "Lead Sentiment Qualifier",
  "tags": [],
  "nodes": [
    {
      "id": "e74de2ca-d3e1-499b-893c-972bb6bd9ad0",
      "name": "Google Gemini Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        760,
        580
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "01b4b86b-8798-405e-93c9-5881f3d27d20",
      "name": "Neuen Potenzialkunden empfangen (Typeform)",
      "type": "n8n-nodes-base.webhook",
      "position": [
        340,
        360
      ],
      "webhookId": "20426827-714d-4a48-ab87-4a3216665bde",
      "parameters": {
        "path": "lead-webhook",
        "options": {},
        "httpMethod": "POST"
      },
      "typeVersion": 2
    },
    {
      "id": "b4007cc1-6332-42d3-a7d1-12db9bc35fec",
      "name": "Potenzialkundendaten aufbereiten",
      "type": "n8n-nodes-base.set",
      "position": [
        560,
        360
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3.4
    },
    {
      "id": "d274436b-f5f6-4c13-948d-f1e2f822e85c",
      "name": "Stimmung klassifizieren (Gemini oder anderes KI-Modell)",
      "type": "@n8n/n8n-nodes-langchain.sentimentAnalysis",
      "position": [
        780,
        360
      ],
      "parameters": {
        "options": {},
        "inputText": "={{$json[\"message\"] || $json[\"mensagem\"] || $json[\"resposta\"]}}\n"
      },
      "typeVersion": 1
    },
    {
      "id": "1322317f-fbc6-4a9d-a764-f6dc68b7a02b",
      "name": "Heißen Potenzialkunden speichern",
      "type": "n8n-nodes-base.supabase",
      "position": [
        1156,
        160
      ],
      "parameters": {},
      "credentials": {
        "supabaseApi": {
          "id": "",
          "name": ""
        }
      },
      "typeVersion": 1
    },
    {
      "id": "856a57e9-4d21-4a7c-9dd4-90d5df595468",
      "name": "Neutralen Potenzialkunden speichern",
      "type": "n8n-nodes-base.supabase",
      "position": [
        1156,
        360
      ],
      "parameters": {},
      "credentials": {
        "supabaseApi": {
          "id": "",
          "name": ""
        }
      },
      "typeVersion": 1
    },
    {
      "id": "1d3ab942-66f3-4aff-a46e-7cc040e7f6db",
      "name": "Kalten Potenzialkunden speichern",
      "type": "n8n-nodes-base.supabase",
      "position": [
        1156,
        560
      ],
      "parameters": {},
      "credentials": {
        "supabaseApi": {
          "id": "",
          "name": ""
        }
      },
      "typeVersion": 1
    },
    {
      "id": "20839991-6176-4485-98fe-1d188ac552f1",
      "name": "Potenzialkundendaten zusammenführen",
      "type": "n8n-nodes-base.merge",
      "position": [
        1376,
        360
      ],
      "parameters": {
        "numberInputs": 3
      },
      "typeVersion": 3.1
    },
    {
      "id": "fa4ac251-30a5-4ab4-8bd3-54036b810648",
      "name": "WhatsApp-Nachricht senden",
      "type": "n8n-nodes-base.whatsApp",
      "position": [
        1596,
        360
      ],
      "webhookId": "b18f6b54-22e1-4989-bbf8-301c1be7d566",
      "parameters": {
        "operation": "send",
        "additionalFields": {}
      },
      "typeVersion": 1
    },
    {
      "id": "1c49034d-c7fe-4f1f-acab-01a1efe0f474",
      "name": "Haftnotiz",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -220,
        140
      ],
      "parameters": {
        "width": 480,
        "height": 600,
        "content": "## Lead Sentiment Qualifier – Classify incoming leads using AI and reply via WhatsApp\n\n\nShort Description:\nAutomatically classify leads from a Typeform based on sentiment using Google Gemini. Store them in Supabase by category (hot, neutral, cold) and send personalized WhatsApp responses using the official WhatsApp Cloud API.\n\nFull Description:\nThis workflow helps you qualify leads instantly by analyzing the sentiment of their message.\n\nNew leads are captured through a Typeform webhook\n\nThe message is processed and analyzed using Google Gemini (sentiment classification: Positive, Neutral or Negative)\n\nDepending on the result, the lead is stored in Supabase under the appropriate label (hot, neutral, or cold)\n\nA personalized WhatsApp message is sent using the official WhatsApp Cloud API to confirm receipt and provide feedback\n\nIdeal for sales teams, onboarding funnels, and support flows that want to prioritize leads based on tone, urgency, or engagement level."
      },
      "typeVersion": 1
    },
    {
      "id": "e8d20736-9419-445e-ab25-dd63a7605cf2",
      "name": "Haftnotiz 1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        680,
        720
      ],
      "parameters": {
        "content": "## Prompt sugestion \nClassify the sentiment of the message below as Positive, Neutral or Negative:\n\n\"{{$json[\"message\"]}}\"\n"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "",
  "connections": {
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    "1d3ab942-66f3-4aff-a46e-7cc040e7f6db": {
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    "20839991-6176-4485-98fe-1d188ac552f1": {
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    "b4007cc1-6332-42d3-a7d1-12db9bc35fec": {
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    "856a57e9-4d21-4a7c-9dd4-90d5df595468": {
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            "type": "main",
            "index": 1
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        ]
      ]
    },
    "e74de2ca-d3e1-499b-893c-972bb6bd9ad0": {
      "ai_languageModel": [
        [
          {
            "node": "d274436b-f5f6-4c13-948d-f1e2f822e85c",
            "type": "ai_languageModel",
            "index": 0
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        ]
      ]
    },
    "01b4b86b-8798-405e-93c9-5881f3d27d20": {
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    "d274436b-f5f6-4c13-948d-f1e2f822e85c": {
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            "type": "main",
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        [
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    }
  }
}

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.