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Google Analytics: Wochenbericht

Fortgeschritten

Dies ist ein AI, Marketing-Bereich Automatisierungsworkflow mit 14 Nodes. Hauptsächlich werden Set, Code, Telegram, EmailSend, Summarize und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. Erstellen Sie Google Analytics-Datenberichte mit KI und senden Sie sie per E-Mail und Telegram

Voraussetzungen
  • •Telegram Bot Token
  • •OpenAI API Key

Verwendete Nodes (14)

Set
Code
Telegram
EmailSend
Summarize
StickyNote
GoogleAnalytics
ScheduleTrigger
OpenAi
ToolCalculator

Kategorie

Künstliche Intelligenz
Marketing
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
React Flow
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
  "id": "AAjX1BuwhyXpo8xP",
  "meta": {
    "instanceId": "558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a"
  },
  "name": "Google Analytics: Weekly Report",
  "tags": [],
  "nodes": [
    {
      "id": "91ba5982-e226-4f0b-af0d-8c9a44b08279",
      "name": "Zeitplan-Trigger",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        -1740,
        300
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "weeks",
              "triggerAtDay": [
                1
              ],
              "triggerAtHour": 7
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "62c38eaf-2222-4d22-8589-677f36bce10d",
      "name": "Google Analytics Letzte 7 Tage",
      "type": "n8n-nodes-base.googleAnalytics",
      "position": [
        -1540,
        300
      ],
      "parameters": {
        "metricsGA4": {
          "metricValues": [
            {
              "listName": "screenPageViews"
            },
            {},
            {
              "listName": "sessions"
            },
            {
              "listName": "sessionsPerUser"
            },
            {
              "name": "averageSessionDuration",
              "listName": "other"
            },
            {
              "name": "ecommercePurchases",
              "listName": "other"
            },
            {
              "name": "averagePurchaseRevenue",
              "listName": "other"
            },
            {
              "name": "purchaseRevenue",
              "listName": "other"
            }
          ]
        },
        "propertyId": {
          "__rl": true,
          "mode": "list",
          "value": "345060083",
          "cachedResultUrl": "https://analytics.google.com/analytics/web/#/p345060083/",
          "cachedResultName": "https://www.ep-reisen.de  – GA4"
        },
        "dimensionsGA4": {
          "dimensionValues": [
            {}
          ]
        },
        "additionalFields": {}
      },
      "credentials": {
        "googleAnalyticsOAuth2": {
          "id": "onRKXREI8izfGzv0",
          "name": "Google Analytics account"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "0a51c2f3-a487-4226-884f-63d4cb2bf4e4",
      "name": "E-Mail senden",
      "type": "n8n-nodes-base.emailSend",
      "position": [
        420,
        80
      ],
      "parameters": {
        "html": "={{ $json.message.content }}",
        "options": {},
        "subject": "Weekly Report: Google Analytics: Last 7 days",
        "toEmail": "friedemann.schuetz@ep-reisen.de",
        "fromEmail": "friedemann.schuetz@posteo.de"
      },
      "credentials": {
        "smtp": {
          "id": "A71x7hx6lKj7nxp1",
          "name": "SMTP account"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "04963783-f455-4983-afea-e94b316d8532",
      "name": "Telegram",
      "type": "n8n-nodes-base.telegram",
      "position": [
        420,
        420
      ],
      "parameters": {
        "text": "={{ $json.message.content }}",
        "chatId": "1810565648",
        "additionalFields": {}
      },
      "credentials": {
        "telegramApi": {
          "id": "0hnyvxyUMN77sBmU",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "3b6b4902-15b3-4bbc-8427-c35471a7431b",
      "name": "Processing for Telegram",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "position": [
        60,
        420
      ],
      "parameters": {
        "modelId": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini",
          "cachedResultName": "GPT-4O-MINI"
        },
        "options": {},
        "messages": {
          "values": [
            {
              "content": "=Convert the following text from HTML to normal text:\n\n{{ $json.message.content }}\n\nPlease format the table so that each metric is a separate paragraph!\n\nExample:\n\nTotal views: xx.xxx\nTotal views previous year: xx,xxx\nDifference: x.xx %\n\nTotal users: xx,xxx\nTotal users previous year: xx,xxx\nDifference: -x.xx %"
            }
          ]
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "niikB3HA4fT5WAqt",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.7
    },
    {
      "id": "d761980c-0327-4d4e-92aa-d0342b2e249e",
      "name": "Rechner",
      "type": "@n8n/n8n-nodes-langchain.toolCalculator",
      "position": [
        140,
        300
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "ce7ba356-80bb-4b17-9445-fb535267cdf0",
      "name": "Google Analytics: Past 7 days of the previous year",
      "type": "n8n-nodes-base.googleAnalytics",
      "position": [
        -600,
        300
      ],
      "parameters": {
        "endDate": "={{ $json.endDate }}",
        "dateRange": "custom",
        "startDate": "={{ $json.startDate }}",
        "metricsGA4": {
          "metricValues": [
            {
              "listName": "screenPageViews"
            },
            {},
            {
              "listName": "sessions"
            },
            {
              "listName": "sessionsPerUser"
            },
            {
              "name": "averageSessionDuration",
              "listName": "other"
            },
            {
              "name": "ecommercePurchases",
              "listName": "other"
            },
            {
              "name": "averagePurchaseRevenue",
              "listName": "other"
            },
            {
              "name": "purchaseRevenue",
              "listName": "other"
            }
          ]
        },
        "propertyId": {
          "__rl": true,
          "mode": "list",
          "value": "345060083",
          "cachedResultUrl": "https://analytics.google.com/analytics/web/#/p345060083/",
          "cachedResultName": "https://www.ep-reisen.de  – GA4"
        },
        "dimensionsGA4": {
          "dimensionValues": [
            {}
          ]
        },
        "additionalFields": {}
      },
      "credentials": {
        "googleAnalyticsOAuth2": {
          "id": "onRKXREI8izfGzv0",
          "name": "Google Analytics account"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "d2062aaa-e41b-4405-8470-9e7b4cd77245",
      "name": "Zusammenfassen Data",
      "type": "n8n-nodes-base.summarize",
      "position": [
        -1080,
        300
      ],
      "parameters": {
        "options": {},
        "fieldsToSummarize": {
          "values": [
            {
              "field": "Aufrufe",
              "aggregation": "sum"
            },
            {
              "field": "Nutzer",
              "aggregation": "sum"
            },
            {
              "field": "Sitzungen",
              "aggregation": "sum"
            },
            {
              "field": "Sitzungen pro Nutzer",
              "aggregation": "average"
            },
            {
              "field": "Sitzungsdauer",
              "aggregation": "average"
            },
            {
              "field": "Käufe",
              "aggregation": "sum"
            },
            {
              "field": "Revenue pro Kauf",
              "aggregation": "average"
            },
            {
              "field": "Revenue",
              "aggregation": "sum"
            },
            {
              "field": "date"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "d1f48d36-9f27-4cda-af53-e6d430d1a8db",
      "name": "Zusammenfassen Data1",
      "type": "n8n-nodes-base.summarize",
      "position": [
        -220,
        300
      ],
      "parameters": {
        "options": {},
        "fieldsToSummarize": {
          "values": [
            {
              "field": "Aufrufe",
              "aggregation": "sum"
            },
            {
              "field": "Nutzer",
              "aggregation": "sum"
            },
            {
              "field": "Sitzungen",
              "aggregation": "sum"
            },
            {
              "field": "Sitzungen pro Nutzer",
              "aggregation": "average"
            },
            {
              "field": "Sitzungsdauer",
              "aggregation": "average"
            },
            {
              "field": "Käufe",
              "aggregation": "sum"
            },
            {
              "field": "Revenue pro Kauf",
              "aggregation": "average"
            },
            {
              "field": "Revenue",
              "aggregation": "sum"
            },
            {
              "field": "date"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "5b6a0644-3839-4a62-8ff3-bf866aa4568c",
      "name": "Calculation same period previous year",
      "type": "n8n-nodes-base.code",
      "position": [
        -840,
        300
      ],
      "parameters": {
        "jsCode": "return {\n  // Berechnung des Startdatums: Vorjahr, gleiche Woche, 7 Tage zurück\n  startDate: (() => {\n    const date = new Date();\n    date.setFullYear(date.getFullYear() - 1); // Zurück ins Vorjahr\n    date.setDate(date.getDate() - 7); // 7 Tage zurück\n    return date.toISOString().split('T')[0];\n  })(),\n  \n  // Berechnung des Enddatums: Vorjahr, heutiges Datum\n  endDate: (() => {\n    const date = new Date();\n    date.setFullYear(date.getFullYear() - 1); // Zurück ins Vorjahr\n    return date.toISOString().split('T')[0];\n  })(),\n};\n"
      },
      "typeVersion": 2
    },
    {
      "id": "ab813532-cbe6-4c41-b20b-7efaa1ae4389",
      "name": "Assign data",
      "type": "n8n-nodes-base.set",
      "position": [
        -1300,
        300
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "9c2f8b9a-e964-49a0-8837-efb0dfd7bcae",
              "name": "Aufrufe",
              "type": "number",
              "value": "={{ $json.screenPageViews }}"
            },
            {
              "id": "8b524518-1268-4971-b5c9-ae7da09d94f9",
              "name": "Nutzer",
              "type": "number",
              "value": "={{ $json.totalUsers }}"
            },
            {
              "id": "ca7279b9-c643-425f-aa99-cb17146e9994",
              "name": "Sitzungen",
              "type": "number",
              "value": "={{ $json.sessions }}"
            },
            {
              "id": "591288f7-e8cf-445e-872a-5b83f997b825",
              "name": "Sitzungen pro Nutzer",
              "type": "number",
              "value": "={{ $json.sessionsPerUser }}"
            },
            {
              "id": "dc1a43da-3f3a-4dca-bbde-904222d7f693",
              "name": "Sitzungsdauer",
              "type": "number",
              "value": "={{ $json.averageSessionDuration }}"
            },
            {
              "id": "eac0b53e-c452-40b8-92bc-8af8ea349984",
              "name": "=Käufe",
              "type": "number",
              "value": "={{ $json.ecommercePurchases }}"
            },
            {
              "id": "b96439be-189d-4ebe-b49e-d5c31fefe9f0",
              "name": "Revenue pro Kauf",
              "type": "number",
              "value": "={{ $json.averagePurchaseRevenue }}"
            },
            {
              "id": "94835d43-2fc8-49c0-97f0-6f0f8699337a",
              "name": "Revenue",
              "type": "number",
              "value": "={{ $json.purchaseRevenue }}"
            },
            {
              "id": "d70f8138-3b84-4b88-a98f-eb929e1cc29a",
              "name": "date",
              "type": "string",
              "value": "={{ $json.date }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "2454fe8a-005d-46dc-ae22-1044c1b793b7",
      "name": "Assign data1",
      "type": "n8n-nodes-base.set",
      "position": [
        -400,
        300
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "9c2f8b9a-e964-49a0-8837-efb0dfd7bcae",
              "name": "Aufrufe",
              "type": "number",
              "value": "={{ $json.screenPageViews }}"
            },
            {
              "id": "8b524518-1268-4971-b5c9-ae7da09d94f9",
              "name": "Nutzer",
              "type": "number",
              "value": "={{ $json.totalUsers }}"
            },
            {
              "id": "ca7279b9-c643-425f-aa99-cb17146e9994",
              "name": "Sitzungen",
              "type": "number",
              "value": "={{ $json.sessions }}"
            },
            {
              "id": "591288f7-e8cf-445e-872a-5b83f997b825",
              "name": "Sitzungen pro Nutzer",
              "type": "number",
              "value": "={{ $json.sessionsPerUser }}"
            },
            {
              "id": "dc1a43da-3f3a-4dca-bbde-904222d7f693",
              "name": "Sitzungsdauer",
              "type": "number",
              "value": "={{ $json.averageSessionDuration }}"
            },
            {
              "id": "eac0b53e-c452-40b8-92bc-8af8ea349984",
              "name": "=Käufe",
              "type": "number",
              "value": "={{ $json.ecommercePurchases }}"
            },
            {
              "id": "b96439be-189d-4ebe-b49e-d5c31fefe9f0",
              "name": "Revenue pro Kauf",
              "type": "number",
              "value": "={{ $json.averagePurchaseRevenue }}"
            },
            {
              "id": "94835d43-2fc8-49c0-97f0-6f0f8699337a",
              "name": "Revenue",
              "type": "number",
              "value": "={{ $json.purchaseRevenue }}"
            },
            {
              "id": "dd8255c6-65b1-41ce-b596-70c09108d6e2",
              "name": "=date",
              "type": "string",
              "value": "={{ $json.date }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "0a48cbb0-3d4c-4ac8-8dba-08213f7fc430",
      "name": "Haftnotiz",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -2220,
        80
      ],
      "parameters": {
        "width": 440,
        "height": 560,
        "content": "Welcome to my Google Analytics Weekly Report Workflow!\n\nThis workflow has the following sequence:\n\n1. time trigger (e.g. every Monday at 7 a.m.)\n2. retrieval of Google Analytics data from the last 7 days\n3. assignment and summary of the data\n4. retrieval of Google Analytics data from the last 7 days of the previous year\n5. allocation and summary of the data\n6. preparation in tabular form and brief analysis by AI.\n7. sending the report as an email\n8. preparation in short form by AI for Telegram (optional)\n9. sending as Telegram message.\n\nThe following accesses are required for the workflow:\n- Google Analytics (via Google Analytics API): https://docs.n8n.io/integrations/builtin/credentials/google/\n- AI API access (e.g. via OpenAI, Anthropic, Google or Ollama)\n- SMTP access data (for sending the mail)\n- Telegram access data (optional for sending as Telegram message): https://docs.n8n.io/integrations/builtin/credentials/telegram/\n\nYou can contact me via LinkedIn, if you have any questions: https://www.linkedin.com/in/friedemann-schuetz"
      },
      "typeVersion": 1
    },
    {
      "id": "c87bc648-8fe8-4cec-84d4-2742060f9c53",
      "name": "Processing for email",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "position": [
        60,
        80
      ],
      "parameters": {
        "modelId": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o",
          "cachedResultName": "GPT-4O"
        },
        "options": {},
        "messages": {
          "values": [
            {
              "content": "=Please analyze the following data and output the results in tabular form:\n\n| Metrics | Last 7 days | Previous year | Percentage change |\n|-------------------------------|---------------|---------|\n| Total page views | {{ $('Summarize Data').item.json.sum_Aufrufe }} | {{ $('Summarize Data1').item.json.sum_Aufrufe }} | Percentage change |\n| total users | {{ $('Summarize Data').item.json.sum_Nutzer }} | {{ $('Summarize Data1').item.json.sum_Nutzer }} | Percentage change |\n| Total sessions | {{ $('Summarize Data').item.json.sum_Sitzungen }} | {{ $('Summarize Data1').item.json.sum_Sitzungen }} | Percentage change |\n| Average sessions/user | {{ $('Summarize Data').item.json.average_Sitzungen_pro_Nutzer }} | {{ $('Summarize Data1').item.json.average_Sitzungen_pro_Nutzer }} | Percentage change |\n| Average session duration | {{ $('Summarize Data').item.json.average_Sitzungsdauer }} | {{ $('Summarize Data1').item.json.average_Sitzungsdauer }} | Percentage change |\n| Total purchases | {{ $('Summarize Data').item.json['sum_Käufe'] }} | {{ $('Summarize Data1').item.json['sum_Käufe'] }} | Percentage change |\n| Average revenue/purchase | {{ $('Summarize Data').item.json.average_Revenue_pro_Kauf }} | {{ $('Summarize Data1').item.json.average_Revenue_pro_Kauf }} | Percentage change |\n| Total revenue | {{ $('Summarize Data').item.json.sum_Revenue }} | {{ $('Summarize Data1').item.json.sum_Revenue }} | Percentage change |\n\nFormat for numbers:\n- Dot (.) for numbers in thousands (e.g. 4,000)\n- Comma (,) for decimal numbers (e.g. 3.4)\n- Conversion of average session duration in minutes instead of seconds\n- Average turnover/purchase and total turnover in €\n\nPlease write a short summary of the analyzed data above the table (in a maximum of 3 sentences!)\n\nPlease format to a sleek and modern HTML format so that the result can be sent as HTML mail!\n\nStructure of the e-mail:\n\n“Hello! Here is the Weekly Report: Google Analytics of the last 7 days!\n[Summary]\n[Table]”"
            }
          ]
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "niikB3HA4fT5WAqt",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.7
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "556c3292-0d40-4c75-8037-90bacf1b2ccb",
  "connections": {
    "04963783-f455-4983-afea-e94b316d8532": {
      "main": [
        []
      ]
    },
    "Calculator": {
      "ai_tool": [
        [
          {
            "node": "c87bc648-8fe8-4cec-84d4-2742060f9c53",
            "type": "ai_tool",
            "index": 0
          }
        ]
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    },
    "ab813532-cbe6-4c41-b20b-7efaa1ae4389": {
      "main": [
        [
          {
            "node": "Summarize Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "2454fe8a-005d-46dc-ae22-1044c1b793b7": {
      "main": [
        [
          {
            "node": "Summarize Data1",
            "type": "main",
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    },
    "Summarize Data": {
      "main": [
        [
          {
            "node": "5b6a0644-3839-4a62-8ff3-bf866aa4568c",
            "type": "main",
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    "Summarize Data1": {
      "main": [
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          {
            "node": "c87bc648-8fe8-4cec-84d4-2742060f9c53",
            "type": "main",
            "index": 0
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        ]
      ]
    },
    "Schedule Trigger": {
      "main": [
        [
          {
            "node": "62c38eaf-2222-4d22-8589-677f36bce10d",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "c87bc648-8fe8-4cec-84d4-2742060f9c53": {
      "main": [
        [
          {
            "node": "Send Email",
            "type": "main",
            "index": 0
          },
          {
            "node": "3b6b4902-15b3-4bbc-8427-c35471a7431b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "3b6b4902-15b3-4bbc-8427-c35471a7431b": {
      "main": [
        [
          {
            "node": "04963783-f455-4983-afea-e94b316d8532",
            "type": "main",
            "index": 0
          }
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    },
    "62c38eaf-2222-4d22-8589-677f36bce10d": {
      "main": [
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            "node": "ab813532-cbe6-4c41-b20b-7efaa1ae4389",
            "type": "main",
            "index": 0
          }
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    },
    "5b6a0644-3839-4a62-8ff3-bf866aa4568c": {
      "main": [
        [
          {
            "node": "ce7ba356-80bb-4b17-9445-fb535267cdf0",
            "type": "main",
            "index": 0
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    },
    "ce7ba356-80bb-4b17-9445-fb535267cdf0": {
      "main": [
        [
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            "index": 0
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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.

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Schwierigkeitsbeschreibung

Für erfahrene Benutzer, mittelkomplexe Workflows mit 6-15 Nodes

Autor
Friedemann Schuetz

Friedemann Schuetz

@freddy-schuetz
Externe Links
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Kategorien

Multimodales KI
1540
Künstliche Intelligenz
1108
Content-Erstellung
695
KI-Zusammenfassung
516
Marketing
419
KI-Chatbot
251
Engineering
241
Marktforschung
203
Verschiedenes
193
Sonstiges
176
Vertrieb
162
IT-Betrieb
156
Dokumentenextraktion
147
KI RAG
146
Bausteine
144
Soziale Medien
137
Lead-Generierung
125
Persönliche Produktivität
117
DevOps
111
Personalwesen
101
Support
97
Lead-Pflege
87
Kundenbeziehungsmanagement
82
Finanzen
81
Produkt
77
Support-Chatbot
76
Design
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Ticketverwaltung
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Sicherheitsbetrieb
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Krypto-Handel
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Dateiverwaltung
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Internes Wiki
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Kategorien: 34