在线marketing周报
Este es unMarketingflujo de automatización del dominio deautomatización que contiene 51 nodos.Utiliza principalmente nodos como Set, Code, Telegram, EmailSend, Summarize. AImarketinginforme(Google Analytics、Google Ads、Meta Ads) - a través decorreo electrónico/Telegramenviar
- •Bot Token de Telegram
- •Pueden requerirse credenciales de autenticación para la API de destino
- •Clave de API de OpenAI
- •Credenciales de Graph API de Facebook
Nodos utilizados (51)
Categoría
{
"id": "knmxcsujuHmViJl4",
"meta": {
"instanceId": "558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a"
},
"name": "Online Marketing Weekly Report",
"tags": [],
"nodes": [
{
"id": "f145b442-3036-4769-b7ad-62c97fa5d662",
"name": "Disparador Programado",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-1580,
-220
],
"parameters": {
"rule": {
"interval": [
{
"field": "weeks",
"triggerAtDay": [
1
],
"triggerAtHour": 7
}
]
}
},
"typeVersion": 1.2
},
{
"id": "9b25dfe7-cabe-4051-8d03-5f9b1f42621a",
"name": "Modelo de Chat OpenAI",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-1380,
120
],
"parameters": {
"model": "gpt-4o",
"options": {}
},
"credentials": {
"openAiApi": {
"id": "niikB3HA4fT5WAqt",
"name": "OpenAi account"
}
},
"typeVersion": 1
},
{
"id": "f04d67a6-fb37-434d-8fd7-988db33f8cde",
"name": "Google_Ads",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
-400,
120
],
"parameters": {
"name": "Google_Ads",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "nRGs7Ogv7eU1mJQl",
"cachedResultName": "Google Ads Report: Weekly Subflow ROAS"
},
"description": "Call this tool to get the output of the Google Ads Workflow"
},
"typeVersion": 1.3
},
{
"id": "179c2464-bf17-4a9b-8c5b-508a4acf746f",
"name": "Meta_Ads",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
-300,
120
],
"parameters": {
"name": "Meta_Ads",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "9sC80Rt1eqgrfphk",
"cachedResultName": "Meta Ads Report: Weekly Subflow ROAS"
},
"description": "Call this tool to get the output of the Meta Ads Workflow"
},
"typeVersion": 1.3
},
{
"id": "f963f694-cf30-4b81-9ee1-3ad383714770",
"name": "Analytics_Dominio_1",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
-1180,
120
],
"parameters": {
"name": "EP_Data",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "ploQFf5BtgCC6ryu",
"cachedResultName": "GA Report: EP Subflow Weekly"
},
"description": "Call this tool to get the output of the SER Data Workflow"
},
"typeVersion": 1.3
},
{
"id": "093d83fd-6788-418b-ac38-925b04be2515",
"name": "Analytics_Dominio_3",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
-860,
120
],
"parameters": {
"name": "SBW_Data",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "ECmFUVocSLqB3afJ",
"cachedResultName": "GA Report: SBW Subflow Weekly"
},
"description": "Call this tool to get the output of the SBW Data Workflow"
},
"typeVersion": 1.3
},
{
"id": "57612276-4a48-4a6c-997c-f6c4f1196ed7",
"name": "Analytics_Dominio_2",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
-1020,
120
],
"parameters": {
"name": "SER_Data",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "EWAE7Qx70cHZuXte",
"cachedResultName": "GA Report: SER Subflow Weekly"
},
"description": "Call this tool to get the output of the SER Data Workflow"
},
"typeVersion": 1.3
},
{
"id": "3dfea4cf-87fb-44d5-9b95-304406da6b18",
"name": "Analytics_Dominio_4",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
-700,
120
],
"parameters": {
"name": "SZO_Data",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "eyPh3eaqrBLAcLKF",
"cachedResultName": "GA Report: SZO Subflow Weekly"
},
"description": "Call this tool to get the output of the SZO Data Workflow"
},
"typeVersion": 1.3
},
{
"id": "79f1cd20-6133-4c72-8942-5b1f55adbb7f",
"name": "Analytics_Dominio_5",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
-540,
120
],
"parameters": {
"name": "UCH_Data",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "ErIeoUuyF4fqMbhL",
"cachedResultName": "GA Report: UCH Subflow Weekly"
},
"description": "Call this tool to get the output of the UCH Data Workflow"
},
"typeVersion": 1.3
},
{
"id": "0740d70f-a582-4a12-ab12-08b46504e8f8",
"name": "Disparador de Ejecución de Flujo",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
-1580,
460
],
"parameters": {},
"typeVersion": 1
},
{
"id": "2449b1be-0ba8-41ae-9ea5-86028da736f0",
"name": "Calculadora",
"type": "@n8n/n8n-nodes-langchain.toolCalculator",
"position": [
380,
680
],
"parameters": {},
"typeVersion": 1
},
{
"id": "e8b884f1-2013-4c25-a641-8181528db173",
"name": "Nota Adhesiva",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1660,
360
],
"parameters": {
"color": 6,
"width": 2340,
"height": 460,
"content": "## Sub-Workflow: Google Analytics Data"
},
"typeVersion": 1
},
{
"id": "f7d290eb-07d1-413d-ba12-184229e519c0",
"name": "Nota Adhesiva2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1660,
1440
],
"parameters": {
"color": 5,
"width": 2340,
"height": 460,
"content": "## Sub-Workflow: Meta Ads Data"
},
"typeVersion": 1
},
{
"id": "c78da3ec-fb47-4373-8850-e1af89d7330e",
"name": "Nota Adhesiva3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1660,
-280
],
"parameters": {
"width": 2340,
"height": 540,
"content": "## Main Workflow: Weekly Report Assistant"
},
"typeVersion": 1
},
{
"id": "79ae6b22-0067-4d51-bc64-e0360d2096f3",
"name": "Calculadora1",
"type": "@n8n/n8n-nodes-langchain.toolCalculator",
"position": [
440,
1200
],
"parameters": {},
"typeVersion": 1
},
{
"id": "d7608c67-4b10-4860-b683-de265b95cb03",
"name": "Nota Adhesiva4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1660,
880
],
"parameters": {
"color": 4,
"width": 2340,
"height": 500,
"content": "## Sub-Workflow: Google Ads Data"
},
"typeVersion": 1
},
{
"id": "c047cc54-1598-4294-a398-cdb23ea8be4d",
"name": "Calculadora3",
"type": "@n8n/n8n-nodes-langchain.toolCalculator",
"position": [
460,
1760
],
"parameters": {},
"typeVersion": 1
},
{
"id": "165717a8-b215-4e0e-a5e9-586feaec261e",
"name": "Llamar datos Google Analytics: Últimos 7 días",
"type": "n8n-nodes-base.googleAnalytics",
"position": [
-1320,
460
],
"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": "KJj8aAwdrmU2STrI",
"name": "Google Analytics account"
}
},
"typeVersion": 2
},
{
"id": "da636e2a-4396-4809-98ea-c04abdfc6b73",
"name": "Llamar datos Google Analytics: Últimos 7 días (año anterior)",
"type": "n8n-nodes-base.googleAnalytics",
"position": [
-400,
460
],
"parameters": {
"endDate": "={{ $json.endDate }}",
"dateRange": "custom",
"startDate": "={{ $json.startDate }}",
"metricsGA4": {
"metricValues": [
{
"listName": "screenPageViews"
},
{},
{
"listName": "sessions"
},
{
"listName": "sessionsPerUser"
},
{
"name": "averageSessionDuration",
"listName": "other"
},
{
"name": "ecommercePurchases",
"listName": "other"
},
{
"name": "averagePurchaseRevenue",
"listName": "other"
},
{
"name": "purchaseRevenue",
"listName": "other"
}
]
},
"propertyId": {
"__rl": true,
"mode": "list",
"value": "345060083",
"cachedResultUrl": "https://analytics.google.com/analytics/web/#/p345060083/",
"cachedResultName": "https://www.ep-reisen.de – GA4"
},
"dimensionsGA4": {
"dimensionValues": [
{}
]
},
"additionalFields": {}
},
"credentials": {
"googleAnalyticsOAuth2": {
"id": "KJj8aAwdrmU2STrI",
"name": "Google Analytics account"
}
},
"typeVersion": 2
},
{
"id": "f1ac5ff4-1b09-442f-96b0-4f1562dffebb",
"name": "Cálculo mismo período año anterior",
"type": "n8n-nodes-base.code",
"position": [
-620,
980
],
"parameters": {
"jsCode": "// Aktuelles Datum\nconst today = new Date();\n\n// Berechnung des Enddatums (letzter Tag vor dem aktuellen Datum im Vorjahr)\nconst end = new Date(today.getFullYear() - 1, today.getMonth(), today.getDate() - 1);\n\n// Berechnung des Startdatums (7 Tage vor dem Enddatum)\nconst start = new Date(end);\nstart.setDate(end.getDate() - 6);\n\n// Formatierung zu YYYYMMDD\nfunction formatDate(date) {\n const year = date.getFullYear();\n const month = String(date.getMonth() + 1).padStart(2, '0');\n const day = String(date.getDate()).padStart(2, '0');\n return `${year}${month}${day}`;\n}\n\n// Ausgabe\nconst startDate = formatDate(start);\nconst endDate = formatDate(end);\n\nreturn {\n startDate,\n endDate\n};"
},
"typeVersion": 2
},
{
"id": "bc224327-ca75-451a-841f-7cd8c59c5925",
"name": "Formatear entrada de datos (año anterior)",
"type": "n8n-nodes-base.code",
"position": [
-240,
980
],
"parameters": {
"jsCode": "const inputData = items[0].json.results;\nconst totals = {\n impressions: 0,\n clicks: 0,\n conversions: 0,\n costMicros: 0,\n conversionsValue: 0\n};\n\ninputData.forEach(campaign => {\n totals.impressions += parseInt(campaign.metrics.impressions) || 0;\n totals.clicks += parseInt(campaign.metrics.clicks) || 0;\n totals.conversions += parseFloat(campaign.metrics.conversions) || 0;\n totals.costMicros += parseInt(campaign.metrics.costMicros) || 0;\n totals.conversionsValue += parseFloat(campaign.metrics.conversionsValue) || 0;\n});\n\nconst results = {\n impressions: totals.impressions,\n clicks: totals.clicks,\n conversions: totals.conversions,\n cost_micros: totals.costMicros,\n ctr: totals.clicks / totals.impressions,\n cost_per_conversion: totals.costMicros / totals.conversions,\n cpm: (totals.costMicros / (totals.impressions / 1000)),\n roas: totals.conversionsValue / (totals.costMicros / 1000000)\n};\nreturn results;"
},
"typeVersion": 2
},
{
"id": "5b9dbc30-4a92-43d2-b9bf-477141aa4024",
"name": "Formatear entrada de datos (año actual)",
"type": "n8n-nodes-base.code",
"position": [
-1200,
980
],
"parameters": {
"jsCode": "const inputData = items[0].json.results;\nconst totals = {\n impressions: 0,\n clicks: 0,\n conversions: 0,\n costMicros: 0,\n conversionsValue: 0\n};\n\ninputData.forEach(campaign => {\n totals.impressions += parseInt(campaign.metrics.impressions) || 0;\n totals.clicks += parseInt(campaign.metrics.clicks) || 0; \n totals.conversions += parseFloat(campaign.metrics.conversions) || 0;\n totals.costMicros += parseInt(campaign.metrics.costMicros) || 0;\n totals.conversionsValue += parseFloat(campaign.metrics.conversionsValue) || 0;\n});\n\nconst results = {\n impressions: totals.impressions,\n clicks: totals.clicks,\n conversions: totals.conversions, \n cost_micros: totals.costMicros,\n ctr: totals.clicks / totals.impressions,\n cost_per_conversion: totals.costMicros / totals.conversions,\n cpm: (totals.costMicros / (totals.impressions / 1000)),\n roas: totals.conversionsValue / (totals.costMicros / 1000000)\n};\n\nreturn results;"
},
"typeVersion": 2
},
{
"id": "fdb70b1a-8891-469f-9920-3623cb40760e",
"name": "Asignar datos desde entrada (año actual)",
"type": "n8n-nodes-base.set",
"position": [
-1020,
980
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "9c2f8b9a-e964-49a0-8837-efb0dfd7bcae",
"name": "Impressions",
"type": "number",
"value": "={{ $json.impressions }}"
},
{
"id": "8b524518-1268-4971-b5c9-ae7da09d94f9",
"name": "CPM",
"type": "number",
"value": "={{ $json.cpm }}"
},
{
"id": "ca7279b9-c643-425f-aa99-cb17146e9994",
"name": "Clicks",
"type": "number",
"value": "={{ $json.clicks }}"
},
{
"id": "591288f7-e8cf-445e-872a-5b83f997b825",
"name": "CTR",
"type": "number",
"value": "={{ $json.ctr }}"
},
{
"id": "dc1a43da-3f3a-4dca-bbde-904222d7f693",
"name": "Conversions",
"type": "number",
"value": "={{ $json.conversions }}"
},
{
"id": "eac0b53e-c452-40b8-92bc-8af8ea349984",
"name": "=Cost per Conversion",
"type": "number",
"value": "={{ $json.cost_per_conversion }}"
},
{
"id": "4b5d569a-26c9-4a2f-be48-6814860d33c1",
"name": "ROAS",
"type": "number",
"value": "={{ $json.roas }}"
},
{
"id": "b96439be-189d-4ebe-b49e-d5c31fefe9f0",
"name": "Spend",
"type": "number",
"value": "={{ $json.cost_micros }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "bef77ef4-b6ef-48c3-b0b7-5a12a3f75b05",
"name": "Resumir entrada (año actual)",
"type": "n8n-nodes-base.summarize",
"position": [
-820,
980
],
"parameters": {
"options": {},
"fieldsToSummarize": {
"values": [
{
"field": "Impressions",
"aggregation": "sum"
},
{
"field": "CPM",
"aggregation": "average"
},
{
"field": "Clicks",
"aggregation": "sum"
},
{
"field": "CTR",
"aggregation": "average"
},
{
"field": "Conversions",
"aggregation": "sum"
},
{
"field": "Cost per Conversion",
"aggregation": "average"
},
{
"field": "Spend",
"aggregation": "sum"
},
{
"field": "ROAS",
"aggregation": "average"
}
]
}
},
"typeVersion": 1
},
{
"id": "2be072fe-24fd-47f5-8026-31b98666de84",
"name": "Asignar entrada (año anterior)",
"type": "n8n-nodes-base.set",
"position": [
-80,
980
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "9c2f8b9a-e964-49a0-8837-efb0dfd7bcae",
"name": "Impressions",
"type": "number",
"value": "={{ $json.impressions }}"
},
{
"id": "8b524518-1268-4971-b5c9-ae7da09d94f9",
"name": "CPM",
"type": "number",
"value": "={{ $json.cpm }}"
},
{
"id": "ca7279b9-c643-425f-aa99-cb17146e9994",
"name": "Clicks",
"type": "number",
"value": "={{ $json.clicks }}"
},
{
"id": "591288f7-e8cf-445e-872a-5b83f997b825",
"name": "CTR",
"type": "number",
"value": "={{ $json.ctr }}"
},
{
"id": "dc1a43da-3f3a-4dca-bbde-904222d7f693",
"name": "Conversions",
"type": "number",
"value": "={{ $json.conversions }}"
},
{
"id": "eac0b53e-c452-40b8-92bc-8af8ea349984",
"name": "=Cost per conversion",
"type": "number",
"value": "={{ $json.cost_per_conversion }}"
},
{
"id": "76bda144-0cb4-4614-a658-ddb31726ecb9",
"name": "ROAS",
"type": "number",
"value": "={{ $json.roas }}"
},
{
"id": "b96439be-189d-4ebe-b49e-d5c31fefe9f0",
"name": "Spend",
"type": "number",
"value": "={{ $json.cost_micros }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "87381409-c9e5-4d1f-a118-a9e592fa8805",
"name": "Resumir entrada (año anterior)",
"type": "n8n-nodes-base.summarize",
"position": [
100,
980
],
"parameters": {
"options": {},
"fieldsToSummarize": {
"values": [
{
"field": "Impressions",
"aggregation": "sum"
},
{
"field": "CPM",
"aggregation": "average"
},
{
"field": "Clicks",
"aggregation": "sum"
},
{
"field": "CTR",
"aggregation": "average"
},
{
"field": "Conversions",
"aggregation": "sum"
},
{
"field": "Cost per conversion",
"aggregation": "average"
},
{
"field": "Spend",
"aggregation": "sum"
},
{
"field": "ROAS",
"aggregation": "average"
}
]
}
},
"typeVersion": 1
},
{
"id": "000507e0-7806-4686-b157-56e9d58bd9db",
"name": "Calcular formato de fecha para solicitud Google Ads (últimos 7 días)",
"type": "n8n-nodes-base.code",
"position": [
-1600,
980
],
"parameters": {
"jsCode": "// Aktuelles Datum\nconst today = new Date();\n\n// Berechnung des Enddatums (letzter Tag vor dem aktuellen Datum)\nconst end = new Date(today);\nend.setDate(today.getDate() - 1);\n\n// Berechnung des Startdatums (7 Tage vor dem Enddatum)\nconst start = new Date(end);\nstart.setDate(end.getDate() - 6);\n\n// Formatierung zu YYYYMMDD\nfunction formatDate(date) {\n const year = date.getFullYear();\n const month = String(date.getMonth() + 1).padStart(2, '0');\n const day = String(date.getDate()).padStart(2, '0');\n return `${year}${month}${day}`;\n}\n\n// Ausgabe\nconst startDate = formatDate(start);\nconst endDate = formatDate(end);\n\nreturn { startDate, endDate };"
},
"typeVersion": 2
},
{
"id": "a1b4d36a-c322-4771-bcf3-226870fcf000",
"name": "Llamar datos Google Ads: Últimos 7 días",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1380,
980
],
"parameters": {
"url": "https://googleads.googleapis.com/v17/customers/3300525230/googleAds:search",
"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"authentication": "predefinedCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "query",
"value": "=SELECT\n campaign.name,\n metrics.impressions,\n metrics.average_cpm,\n metrics.clicks, \n metrics.ctr,\n metrics.conversions,\n metrics.cost_per_conversion,\n metrics.cost_micros,\n metrics.conversions_value\nFROM campaign\nWHERE segments.date >= '{{ $json.startDate }}' AND segments.date <= '{{ $json.endDate }}'"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "developer-token",
"value": "fzQ2U5IcU4ZH0vBDn4Slww"
}
]
},
"nodeCredentialType": "googleAdsOAuth2Api"
},
"credentials": {
"googleOAuth2Api": {
"id": "yNLz0qjgW7jN4Osv",
"name": "Google account"
},
"googleAdsOAuth2Api": {
"id": "gEPlb6nlwRX35x6R",
"name": "Google Ads account"
}
},
"typeVersion": 4.2
},
{
"id": "7246c0af-4e9d-4037-bc1d-c4fd16aae7d3",
"name": "Llamar datos Google Ads: Últimos 7 días (año anterior)",
"type": "n8n-nodes-base.httpRequest",
"position": [
-420,
980
],
"parameters": {
"url": "https://googleads.googleapis.com/v17/customers/3300525230/googleAds:search",
"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"authentication": "predefinedCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "query",
"value": "=SELECT\n campaign.name,\n metrics.impressions,\n metrics.average_cpm, \n metrics.clicks,\n metrics.ctr,\n metrics.conversions,\n metrics.cost_per_conversion,\n metrics.cost_micros,\n metrics.conversions_value\nFROM campaign\nWHERE segments.date >= '{{ $json.startDate }}' AND segments.date <= '{{ $json.endDate }}'"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "developer-token",
"value": "fzQ2U5IcU4ZH0vBDn4Slww"
}
]
},
"nodeCredentialType": "googleAdsOAuth2Api"
},
"credentials": {
"googleOAuth2Api": {
"id": "yNLz0qjgW7jN4Osv",
"name": "Google account"
},
"googleAdsOAuth2Api": {
"id": "gEPlb6nlwRX35x6R",
"name": "Google Ads account"
}
},
"typeVersion": 4.2
},
{
"id": "13074a3d-6cf4-4ad7-9e26-002f8120e640",
"name": "Llamar datos Meta Ads: Últimos 7 días",
"type": "n8n-nodes-base.facebookGraphApi",
"position": [
-1380,
1540
],
"parameters": {
"edge": "insights",
"node": "act_54337533",
"options": {
"queryParametersJson": "={\n \"fields\": \"impressions,cpm,inline_link_clicks,inline_link_click_ctr,conversions,cost_per_conversion,spend,action_values,purchase_roas\",\n \"time_range\": {\n \"since\": \"{{ $json.currentPeriod.since }}\",\n \"until\": \"{{ $json.currentPeriod.until }}\"\n }\n}"
},
"graphApiVersion": "v20.0"
},
"credentials": {
"facebookGraphApi": {
"id": "9q3YgP6zvgKBO4aj",
"name": "Facebook Graph account"
}
},
"typeVersion": 1
},
{
"id": "06a32368-f9f1-4311-bd17-3fea6b0d2888",
"name": "Llamar datos Meta Ads: Últimos 7 días (año anterior)",
"type": "n8n-nodes-base.facebookGraphApi",
"position": [
-640,
1540
],
"parameters": {
"edge": "insights",
"node": "act_54337533",
"options": {
"queryParametersJson": "={\n \"fields\": \"impressions,cpm,inline_link_clicks,inline_link_click_ctr,conversions,cost_per_conversion,spend,action_values,purchase_roas\",\n \"time_range\": {\n \"since\": \"{{$node['Calculate date format for meta ads request s'].json.lastYear.since}}\",\n \"until\": \"{{$node['Calculate date format for meta ads request s'].json.lastYear.until}}\"\n }\n}"
},
"graphApiVersion": "v20.0"
},
"credentials": {
"facebookGraphApi": {
"id": "9q3YgP6zvgKBO4aj",
"name": "Facebook Graph account"
}
},
"typeVersion": 1
},
{
"id": "a13919d1-5680-44ea-826b-44afc0034702",
"name": "Resumir entrada Meta (año actual)",
"type": "n8n-nodes-base.summarize",
"position": [
-920,
1540
],
"parameters": {
"options": {},
"fieldsToSummarize": {
"values": [
{
"field": "Impressions",
"aggregation": "sum"
},
{
"field": "CPM",
"aggregation": "average"
},
{
"field": "Clicks",
"aggregation": "sum"
},
{
"field": "CTR",
"aggregation": "average"
},
{
"field": "Conversions",
"aggregation": "sum"
},
{
"field": "Cost per conversion",
"aggregation": "average"
},
{
"field": "Spend",
"aggregation": "sum"
},
{
"field": "ROAS",
"aggregation": "average"
}
]
}
},
"typeVersion": 1
},
{
"id": "1afce576-0d2a-41bb-a94b-5d6eaae1fe3e",
"name": "Asignar datos Meta desde entrada (año actual)",
"type": "n8n-nodes-base.set",
"position": [
-1140,
1540
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "9c2f8b9a-e964-49a0-8837-efb0dfd7bcae",
"name": "Impressions",
"type": "number",
"value": "={{ $json.data[0].impressions }}"
},
{
"id": "8b524518-1268-4971-b5c9-ae7da09d94f9",
"name": "CPM",
"type": "number",
"value": "={{ $json.data[0].cpm }}"
},
{
"id": "ca7279b9-c643-425f-aa99-cb17146e9994",
"name": "Clicks",
"type": "number",
"value": "={{ $json.data[0].inline_link_clicks }}"
},
{
"id": "591288f7-e8cf-445e-872a-5b83f997b825",
"name": "CTR",
"type": "number",
"value": "={{ $json.data[0].inline_link_click_ctr }}"
},
{
"id": "dc1a43da-3f3a-4dca-bbde-904222d7f693",
"name": "Conversions",
"type": "number",
"value": "={{ $json.data[0].conversions[0].value }}"
},
{
"id": "eac0b53e-c452-40b8-92bc-8af8ea349984",
"name": "=Cost per conversion",
"type": "number",
"value": "={{ $json.data[0].cost_per_conversion[0].value }}"
},
{
"id": "c6cac2d8-b8f8-4b2a-9bcc-1c325db78799",
"name": "ROAS",
"type": "number",
"value": "={{ $json.data[0].purchase_roas[0].value }}"
},
{
"id": "b96439be-189d-4ebe-b49e-d5c31fefe9f0",
"name": "Spend",
"type": "number",
"value": "={{ $json.data[0].spend }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "0d400918-eb14-4bb1-8950-27b39e651264",
"name": "Asignar entrada de datos Meta (año anterior)",
"type": "n8n-nodes-base.set",
"position": [
-340,
1540
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "9c2f8b9a-e964-49a0-8837-efb0dfd7bcae",
"name": "Impressions",
"type": "number",
"value": "={{ $json.data[0].impressions }}"
},
{
"id": "8b524518-1268-4971-b5c9-ae7da09d94f9",
"name": "CPM",
"type": "number",
"value": "={{ $json.data[0].cpm }}"
},
{
"id": "ca7279b9-c643-425f-aa99-cb17146e9994",
"name": "Clicks",
"type": "number",
"value": "={{ $json.data[0].inline_link_clicks }}"
},
{
"id": "591288f7-e8cf-445e-872a-5b83f997b825",
"name": "CTR",
"type": "number",
"value": "={{ $json.data[0].inline_link_click_ctr }}"
},
{
"id": "dc1a43da-3f3a-4dca-bbde-904222d7f693",
"name": "Conversions",
"type": "number",
"value": "={{ $json.data[0].conversions[0].value }}"
},
{
"id": "eac0b53e-c452-40b8-92bc-8af8ea349984",
"name": "=Cost per conversion",
"type": "number",
"value": "={{ $json.data[0].cost_per_conversion[0].value }}"
},
{
"id": "b866032c-07ac-440b-a81a-d9787926b9d6",
"name": "ROAS",
"type": "number",
"value": "={{ $json.data[0].purchase_roas[0].value }}"
},
{
"id": "b96439be-189d-4ebe-b49e-d5c31fefe9f0",
"name": "Spend",
"type": "number",
"value": "={{ $json.data[0].spend }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "faf34f2a-f6d3-4510-aeee-6b25174abc08",
"name": "Resumir entrada de datos Meta (año anterior)",
"type": "n8n-nodes-base.summarize",
"position": [
-40,
1540
],
"parameters": {
"options": {},
"fieldsToSummarize": {
"values": [
{
"field": "Impressions",
"aggregation": "sum"
},
{
"field": "CPM",
"aggregation": "average"
},
{
"field": "Clicks",
"aggregation": "sum"
},
{
"field": "CTR",
"aggregation": "average"
},
{
"field": "Conversions",
"aggregation": "sum"
},
{
"field": "Cost per conversion",
"aggregation": "average"
},
{
"field": "Spend",
"aggregation": "sum"
},
{
"field": "ROAS",
"aggregation": "average"
}
]
}
},
"typeVersion": 1
},
{
"id": "3985f30a-94ab-45be-a511-b9ae0d4f3bb0",
"name": "Formatear todos los datos Meta para LLM",
"type": "n8n-nodes-base.code",
"position": [
160,
1540
],
"parameters": {
"jsCode": "const currentData = $('Summarize Meta input (current year)').first().json;\nconst previousData = $('Summarize Meta data input (previous year)').first().json;\n\nfunction parseNumber(value) {\n if (typeof value === 'string') {\n return parseFloat(value.replace(/\\./g, '').replace(',', '.'));\n }\n return value || 0;\n}\n\nfunction formatNumber(number, decimals = 0) {\n if (number === 0) return \"0\";\n return parseNumber(number).toLocaleString('de-DE', {\n minimumFractionDigits: decimals,\n maximumFractionDigits: decimals\n });\n}\n\nfunction calculateCPM(cpm) {\n return parseNumber(cpm);\n}\n\nreturn [{\n current_impressions: formatNumber(currentData.sum_Impressions),\n current_cpm: formatNumber(calculateCPM(currentData.average_CPM), 2),\n current_clicks: formatNumber(currentData.sum_Clicks),\n current_ctr: formatNumber(parseNumber(currentData.average_CTR), 2),\n current_conversions: formatNumber(currentData.sum_Conversions, 2),\n current_cost_per_conversion: formatNumber(currentData.average_Cost_per_conversion, 2),\n current_cost: formatNumber(currentData.sum_Spend, 2),\n current_roas: formatNumber(parseNumber(currentData.average_ROAS), 2),\n \n previous_impressions: formatNumber(previousData.sum_Impressions),\n previous_cpm: formatNumber(calculateCPM(previousData.average_CPM), 2),\n previous_clicks: formatNumber(previousData.sum_Clicks),\n previous_ctr: formatNumber(parseNumber(previousData.average_CTR), 2),\n previous_conversions: formatNumber(previousData.sum_Conversions, 2),\n previous_cost_per_conversion: formatNumber(previousData.average_Cost_per_conversion || 0, 2),\n previous_cost: formatNumber(previousData.sum_Spend, 2),\n previous_roas: formatNumber(parseNumber(previousData.average_ROAS), 2)\n}];"
},
"typeVersion": 2
},
{
"id": "146d6907-66af-41ff-ab32-b2a3ec5787b6",
"name": "Procesamiento para informe Google Ads",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
400,
980
],
"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 table form:\n\n| Metric | Last 7 Days | Previous Year | Percentage Change |\n|--------|-------------|---------------|-------------------|\n| Total Impressions | {{$json.current_impressions}} | {{$json.previous_impressions}} | Percentage Change |\n| CPM | {{$json.current_cpm}} | {{$json.previous_cpm}} | Percentage Change |\n| Total Clicks | {{$json.current_clicks}} | {{$json.previous_clicks}} | Percentage Change |\n| CTR | {{$json.current_ctr}} | {{$json.previous_ctr}} | Percentage Change |\n| Conversions | {{$json.current_conversions}} | {{$json.previous_conversions}} | Percentage Change |\n| Cost per Conversion | {{$json.current_cost_per_conversion}} | {{$json.previous_cost_per_conversion}} | Percentage Change |\n| ROAS | {{ $json.current_roas }} | {{ $json.previous_roas }} | Percentage Change |\n| Costs | {{$json.current_cost}} | {{$json.previous_cost}} | Percentage Change |\n\nNumber format:\n- Period (.) for thousands (e.g. 4.000)\n- Comma (,) for decimal numbers (e.g. 3,4)\n- Display CPM, Cost per Conversion, ROAS and Costs in €\n- CTR in percent\n\nPlease write a brief summary of the analyzed data above the table (in max 3 sentences!)\n\nIMPORTANT:\nWrite nothing except the summary and the table below it!\nNO INTRODUCTION, NO CONCLUSION!"
}
]
}
},
"credentials": {
"openAiApi": {
"id": "niikB3HA4fT5WAqt",
"name": "OpenAi account"
}
},
"typeVersion": 1.7
},
{
"id": "2fd2a795-caa4-4194-8049-4955c1d54dd9",
"name": "Formatear todos los datos Google para LLM",
"type": "n8n-nodes-base.code",
"position": [
260,
980
],
"parameters": {
"jsCode": "const currentData = $('Summarize input (current year)').first().json;\nconst previousData = $('Summarize input (previous year)').first().json;\n\nfunction formatNumber(number, decimals = 0) {\n if (number === 0) return \"0\";\n return number.toLocaleString('de-DE', {\n minimumFractionDigits: decimals,\n maximumFractionDigits: decimals\n });\n}\n\nfunction calculateCPM(costMicros, impressions) {\n if (impressions === 0) return 0;\n return (costMicros / 1000000 / impressions) * 1000;\n}\n\nreturn [{\n current_impressions: formatNumber(currentData.sum_Impressions),\n current_cpm: formatNumber(calculateCPM(currentData.sum_Spend, currentData.sum_Impressions), 2),\n current_clicks: formatNumber(currentData.sum_Clicks),\n current_ctr: formatNumber(currentData.average_CTR * 100, 2),\n current_conversions: formatNumber(currentData.sum_Conversions, 2),\n current_cost_per_conversion: formatNumber(currentData.average_Cost_per_Conversion / 1000000, 2),\n current_cost: formatNumber(currentData.sum_Spend / 1000000, 2),\n current_roas: formatNumber(currentData.average_ROAS, 2),\n \n previous_impressions: formatNumber(previousData.sum_Impressions),\n previous_cpm: formatNumber(calculateCPM(previousData.sum_Spend, previousData.sum_Impressions), 2),\n previous_clicks: formatNumber(previousData.sum_Clicks),\n previous_ctr: formatNumber(previousData.average_CTR * 100, 2),\n previous_conversions: formatNumber(previousData.sum_Conversions, 2),\n previous_cost_per_conversion: formatNumber(previousData.average_Cost_per_conversion / 1000000, 2),\n previous_cost: formatNumber(previousData.sum_Spend / 1000000, 2),\n previous_roas: formatNumber(previousData.average_ROAS, 2)\n}];"
},
"typeVersion": 2
},
{
"id": "e7e357e7-3f16-4b6e-ae50-c6741bbe8357",
"name": "Asignar entrada de datos Google Analytics (año actual)",
"type": "n8n-nodes-base.set",
"position": [
-1080,
460
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "9c2f8b9a-e964-49a0-8837-efb0dfd7bcae",
"name": "Page views",
"type": "number",
"value": "={{ $json.screenPageViews }}"
},
{
"id": "8b524518-1268-4971-b5c9-ae7da09d94f9",
"name": "Users",
"type": "number",
"value": "={{ $json.totalUsers }}"
},
{
"id": "ca7279b9-c643-425f-aa99-cb17146e9994",
"name": "Sessions",
"type": "number",
"value": "={{ $json.sessions }}"
},
{
"id": "591288f7-e8cf-445e-872a-5b83f997b825",
"name": "Sessions per user",
"type": "number",
"value": "={{ $json.sessionsPerUser }}"
},
{
"id": "dc1a43da-3f3a-4dca-bbde-904222d7f693",
"name": "Session duration",
"type": "number",
"value": "={{ $json.averageSessionDuration }}"
},
{
"id": "eac0b53e-c452-40b8-92bc-8af8ea349984",
"name": "=Conversions",
"type": "number",
"value": "={{ $json.ecommercePurchases }}"
},
{
"id": "b96439be-189d-4ebe-b49e-d5c31fefe9f0",
"name": "Value per Conversion",
"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": "9f16d330-9288-42bc-9a21-beb002c0ce4f",
"name": "Resumir entrada Google Analytics (año actual)",
"type": "n8n-nodes-base.summarize",
"position": [
-860,
460
],
"parameters": {
"options": {},
"fieldsToSummarize": {
"values": [
{
"field": "Page views",
"aggregation": "sum"
},
{
"field": "Users",
"aggregation": "sum"
},
{
"field": "Sessions",
"aggregation": "sum"
},
{
"field": "Sessions per user",
"aggregation": "average"
},
{
"field": "Session duration",
"aggregation": "average"
},
{
"field": "Conversions",
"aggregation": "sum"
},
{
"field": "Value per Conversion",
"aggregation": "average"
},
{
"field": "Revenue",
"aggregation": "sum"
},
{
"field": "date"
}
]
}
},
"typeVersion": 1
},
{
"id": "9355325f-35c2-4663-922e-d7ccec873fea",
"name": "Calcular formato de fecha para solicitud Meta Ads",
"type": "n8n-nodes-base.code",
"position": [
-1600,
1540
],
"parameters": {
"jsCode": "// Aktuelles Datum\nconst now = new Date();\n\n// Gestern als Ende-Datum\nconst yesterday = new Date(now);\nyesterday.setDate(now.getDate() - 1);\n\n// Start-Datum (7 Tage vor gestern)\nconst weekStart = new Date(yesterday);\nweekStart.setDate(yesterday.getDate() - 6);\n\n// Vorjahreszeitraum\nconst lastYearStart = new Date(weekStart);\nlastYearStart.setFullYear(weekStart.getFullYear() - 1);\n\nconst lastYearEnd = new Date(yesterday);\nlastYearEnd.setFullYear(yesterday.getFullYear() - 1);\n\n// Formatierung YYYY-MM-DD\nfunction formatDate(date) {\n return date.toISOString().split('T')[0];\n}\n\n// Ausgabe\nitems[0] = {\n json: {\n currentPeriod: {\n since: formatDate(weekStart),\n until: formatDate(yesterday)\n },\n lastYear: {\n since: formatDate(lastYearStart),\n until: formatDate(lastYearEnd)\n }\n }\n};\n\nreturn items;"
},
"typeVersion": 2
},
{
"id": "7677727b-606b-4377-9057-032e91d1faae",
"name": "Cálculo mismo período año anterior1",
"type": "n8n-nodes-base.code",
"position": [
-620,
460
],
"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": "d49d00f4-7336-40b7-8833-d2e8c9eacb5b",
"name": "Asignar entrada de datos Google Analytics (año anterior)",
"type": "n8n-nodes-base.set",
"position": [
-180,
460
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "9c2f8b9a-e964-49a0-8837-efb0dfd7bcae",
"name": "Page views",
"type": "number",
"value": "={{ $json.screenPageViews }}"
},
{
"id": "8b524518-1268-4971-b5c9-ae7da09d94f9",
"name": "Users",
"type": "number",
"value": "={{ $json.totalUsers }}"
},
{
"id": "ca7279b9-c643-425f-aa99-cb17146e9994",
"name": "Sessions",
"type": "number",
"value": "={{ $json.sessions }}"
},
{
"id": "591288f7-e8cf-445e-872a-5b83f997b825",
"name": "Sessions per user",
"type": "number",
"value": "={{ $json.sessionsPerUser }}"
},
{
"id": "dc1a43da-3f3a-4dca-bbde-904222d7f693",
"name": "Session duration",
"type": "number",
"value": "={{ $json.averageSessionDuration }}"
},
{
"id": "eac0b53e-c452-40b8-92bc-8af8ea349984",
"name": "=Conversions",
"type": "number",
"value": "={{ $json.ecommercePurchases }}"
},
{
"id": "b96439be-189d-4ebe-b49e-d5c31fefe9f0",
"name": "Value per conversion",
"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": "a6f72675-f055-4270-8fff-05d61da6f3f9",
"name": "Resumir entrada Google Analytics (año anterior)",
"type": "n8n-nodes-base.summarize",
"position": [
40,
460
],
"parameters": {
"options": {},
"fieldsToSummarize": {
"values": [
{
"field": "Page views",
"aggregation": "sum"
},
{
"field": "Users",
"aggregation": "sum"
},
{
"field": "Sessions",
"aggregation": "sum"
},
{
"field": "Sessions per user",
"aggregation": "average"
},
{
"field": "Session duration",
"aggregation": "average"
},
{
"field": "Conversions",
"aggregation": "sum"
},
{
"field": "Value per conversion",
"aggregation": "average"
},
{
"field": "Revenue",
"aggregation": "sum"
},
{
"field": "date"
}
]
}
},
"typeVersion": 1
},
{
"id": "61311c11-59d2-4b77-afc5-52b1d66afbd7",
"name": "Enviar informe por correo",
"type": "n8n-nodes-base.emailSend",
"position": [
560,
-220
],
"parameters": {
"html": "={{ $json.output }}",
"options": {},
"subject": "Weekly Report: Online Marketing Report",
"toEmail": "friedemann.schuetz@ep-reisen.de",
"fromEmail": "friedemann.schuetz@posteo.de"
},
"credentials": {
"smtp": {
"id": "A71x7hx6lKj7nxp1",
"name": "SMTP account"
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{
"id": "928d15f2-141c-4e88-abcc-60799793bde7",
"name": "Procesamiento para Informe Meta Ads",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
400,
1540
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"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o",
"cachedResultName": "GPT-4O"
},
"options": {},
"messages": {
"values": [
{
"content": "=Please analyze the following data and output the results in table form:\n\n| Metric | Last 7 Days | Previous Year | Percentage Change |\n|--------|-------------|---------------|-------------------|\n| Total Impressions | {{$json.current_impressions}} | {{$json.previous_impressions}} | Percentage Change |\n| CPM | {{$json.current_cpm}} | {{$json.previous_cpm}} | Percentage Change |\n| Total Clicks | {{$json.current_clicks}} | {{$json.previous_clicks}} | Percentage Change |\n| CTR | {{$json.current_ctr}} | {{$json.previous_ctr}} | Percentage Change |\n| Conversions | {{$json.current_conversions}} | {{$json.previous_conversions}} | Percentage Change |\n| Cost per Conversion | {{$json.current_cost_per_conversion}} | {{$json.previous_cost_per_conversion}} | Percentage Change |\n| ROAS | {{ $json.current_roas }} | {{ $json.previous_roas }} | Percentage Change |\n| Costs | {{$json.current_cost}} | {{$json.previous_cost}} | Percentage Change |\n\nNumber format:\n- Period (.) for thousands (e.g. 4.000)\n- Comma (,) for decimal numbers (e.g. 3,4)\n- Display CPM, Cost per Conversion, ROAS and Costs in €\n- CTR in percent\n\nPlease write a brief summary of the analyzed data above the table (in max 3 sentences!)\n\nIMPORTANT:\nWrite nothing except the summary and the table below it!\nNO INTRODUCTION, NO CONCLUSION!"
}
]
}
},
"credentials": {
"openAiApi": {
"id": "niikB3HA4fT5WAqt",
"name": "OpenAi account"
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{
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"name": "Procesamiento para Informe Google Analytics",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
400,
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"parameters": {
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"mode": "list",
"value": "gpt-4o",
"cachedResultName": "GPT-4O"
},
"options": {},
"messages": {
"values": [
{
"content": "=Please analyze the following data and output the results in table form:\n| Metric | Last 7 Days | Previous Year | Percentage Change |\n|-------------------------------|-------------|---------------|-------------------|\n| Total Page Views | {{ $('Summarize Google Analytics input (current year)').item.json.sum_Page_views }} | {{ $json.sum_Page_views }} | Percentage Change |\n| Total Users | {{ $('Summarize Google Analytics input (current year)').item.json.sum_Users }} | {{ $json.sum_Users }} | Percentage Change |\n| Total Sessions | {{ $('Summarize Google Analytics input (current year)').item.json.sum_Sessions }} | {{ $json.sum_Sessions }} | Percentage Change |\n| Average Sessions per User | {{ $('Summarize Google Analytics input (current year)').item.json.average_Sessions_per_user }} | {{ $json.average_Sessions_per_user }} | Percentage Change |\n| Average Session Duration | {{ $('Summarize Google Analytics input (current year)').item.json.average_Session_duration }} | {{ $json.average_Session_duration }} | Percentage Change |\n| Total Purchases | {{ $('Summarize Google Analytics input (current year)').item.json.sum_Conversions }} | {{ $json.sum_Conversions }} | Percentage Change |\n| Average Revenue per Purchase | {{ $('Summarize Google Analytics input (current year)').item.json.average_Value_per_Conversion }} | {{ $json.average_Value_per_conversion }} | Percentage Change |\n| Total Revenue | {{ $('Summarize Google Analytics input (current year)').item.json.sum_Revenue }} | {{ $('Summarize Google Analytics input (previous year)').item.json.sum_Revenue }} | Percentage Change |\n\nNumber format:\n- Period (.) for thousands (e.g. 4.000)\n- Comma (,) for decimal numbers (e.g. 3,4)\n- Convert Average Session Duration to minutes instead of seconds\n- Average Revenue per Purchase and Total Revenue in €\n\nPlease write a brief summary of the analyzed data above the table (in max 3 sentences!)\n\nIMPORTANT:\nWrite nothing except the summary and the table below it!\nNO INTRODUCTION, NO CONCLUSION!"
}
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{
"content": "=Convert the following text from HTML to plain text:\n\n{{ $json.output }}\n\nPlease format the table so that each evaluation (Domain 1, Domain 2, Domain 3, Domain 4, Domain 5, Google Ads, Meta Ads) is its own paragraph! Also, please display only the summary (without the table), but incorporate the numbers into the running text!\n\nExample:\n\nDomain 1:\nxx,xxx page views (+x.xx%)\nxx,xxx users (-x.xx%)\n\nDomain 2:\nxx,xxx page views (+x.xx%)\nxx,xxx users (-x.xx%)\n\n<userStyle>Normal</userStyle>"
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"text": "=# Expert in Data Processing and Email Generation in N8N\nYOU ARE AN EXPERT IN DATA PROCESSING AND EMAIL GENERATION IN N8N. YOUR TASK IS TO CREATE AN ENGLISH-LANGUAGE HTML EMAIL THAT COMPREHENSIVELY SUMMARIZES GOOGLE ANALYTICS AND GOOGLE ADS DATA FROM VARIOUS WORKFLOWS. YOU MUST FORMAT THE CAPTURED DATA ACCORDING TO THE SPECIFIED SPECIFICATIONS AND DESIGN THE EMAIL FOR OPTIMAL READABILITY.\n\n## Instructions\n\n### 1. Collect Summary\n- First, retrieve the summary and table for `Analytics_Domain_1` from the `Analytics_Domain_1` workflow.\n- Second, retrieve the summary and table for `Analytics_Domain_2` from the `Analytics_Domain_2` workflow.\n- Third, retrieve the summary and table for `Analytics_Domain_3` from the `Analytics_Domain_3` workflow.\n- Fourth, retrieve the summary and table for `Analytics_Domain_4` from the `Analytics_Domain_4` workflow.\n- Fifth, retrieve the summary and table for `Analytics_Domain_5` from the `Analytics_Domain_5` workflow.\n- Sixth, retrieve the summary and table for `Google_Ads` from the `Google_Ads` workflow.\n- Seventh, retrieve the summary and table for `Meta_Ads` from the `Meta_Ads` workflow.\n\n### 2. Email Structure\n- Begin the email with the following introduction: \n \"Hi Freddy, \n Here is your weekly Online Marketing Report for the last 7 days from Domain 1, Domain 2, Domain 3, Domain 4, Domain 5, as well as Google Ads and Meta Ads!\"\n\n- Create a separate section for each dataset: \n - **Domain 1**: Contains the summary and table from `Analytics_Domain_1`\n - **Domain 2**: Contains the summary and table from `Analytics_Domain_2`\n - **Domain 3**: Contains the summary and table from `Analytics_Domain_3`\n - **Domain 4**: Contains the summary and table from `Analytics_Domain_4`\n - **Domain 5**: Contains the summary and table from `Analytics_Domain_5`\n - **Google Ads**: Contains the summary and table from `Google Ads`\n - **Meta Ads**: Contains the summary and table from `Meta Ads`\n\n- Present the sections clearly and readably as HTML.\n\n### 3. Design and Formatting\n- Use simple HTML structures with clear section titles (e.g., `<h2>` for titles).\n- Present the summary as a paragraph (e.g., `<p>`).\n- The table should be cleanly formatted (e.g., with `<table>`, `<tr>`, `<td>`).\n- Keep the presentation clear and easy to read.\n\n### 4. No Conclusion, No Signature\n\n### HTML Output Structure\n\n```html\n<!DOCTYPE html>\n<html>\n<head>\n <style>\n body {\n font-family: Arial, sans-serif;\n line-height: 1.6;\n }\n h2 {\n color: #333;\n }\n table {\n width: 100%;\n border-collapse: collapse;\n margin: 10px 0;\n }\n table, th, td {\n border: 1px solid #ddd;\n }\n th, td {\n padding: 8px;\n text-align: left;\n }\n th {\n background-color: #f4f4f4;\n }\n </style>\n</head>\n<body>\n <p>Hi,</p>\n <p>Here is your weekly Online Marketing Report for the last 7 days from Domain 1, Domain 2, Domain 3, Domain 4, Domain 5, as well as Google Ads and Meta Ads!</p>\n \n <h2>Domain 1</h2>\n <p>[Summary from Analytics_Domain_1 will be inserted here]</p>\n <table>\n [Table content from Analytics_Domain_1 will be inserted here]\n </table>\n \n <h2>Domain 2</h2>\n <p>[Summary from Analytics_Domain_2 will be inserted here]</p>\n <table>\n [Table content from Analytics_Domain_2 will be inserted here]\n </table>\n</body>\n</html>\n```\n\n### 5. Output\n- Format the entire HTML content as a string for email transmission.\n\n### What Not to Do\n- No unwanted closings or signatures\n- No unstructured, hard-to-read data formatting\n- No missing sections or titles\n- No copying of data without HTML formatting",
"options": {},
"promptType": "define"
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"name": "Enviar informe Telegram",
"type": "n8n-nodes-base.telegram",
"position": [
560,
0
],
"parameters": {
"text": "={{ $json.message.content }}",
"chatId": "1810565648",
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "0hnyvxyUMN77sBmU",
"name": "Telegram account"
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},
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{
"id": "eb8e59fe-2dbd-49e6-a055-a01f7419d8f3",
"name": "Nota Adhesiva1",
"type": "n8n-nodes-base.stickyNote",
"position": [
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-280
],
"parameters": {
"width": 440,
"height": 2180,
"content": "Welcome to Online Marketing 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 Online Marketing data from the last 7 days (via sub workflows)\n3. assignment and summary of the data\n4. retrieval of Online Marketing data from the same time period 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): [Documentation](https://docs.n8n.io/integrations/builtin/credentials/google/)\n- Google Ads (via HTTP Request -> Google Ads API):[Documentation](https://docs.n8n.io/integrations/builtin/credentials/google/)\n- Meta Ads (via Facebook Graph API): [Documentation](https://docs.n8n.io/integrations/builtin/credentials/facebookgraph/)\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): [Documentation](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"
},
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}
],
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"settings": {
"timezone": "Europe/Berlin",
"callerPolicy": "workflowsFromSameOwner",
"executionOrder": "v1"
},
"versionId": "0595b0a6-3130-4041-b3b1-41e820edd985",
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}
}
}¿Cómo usar este flujo de trabajo?
Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.
¿En qué escenarios es adecuado este flujo de trabajo?
Avanzado - Marketing
¿Es de pago?
Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.
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Friedemann Schuetz
@freddy-schuetzCompartir este flujo de trabajo