在线营销周报
高级
这是一个Marketing领域的自动化工作流，包含 51 个节点。主要使用 Set, Code, Telegram, EmailSend, Summarize 等节点。 AI营销报告（Google Analytics、Google Ads、Meta Ads） - 通过邮件/Telegram发送
前置要求
- •Telegram Bot Token
- •可能需要目标 API 的认证凭证
- •OpenAI API Key
- •Facebook Graph API 凭证
使用的节点 (51)
分类
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"id": "knmxcsujuHmViJl4",
"meta": {
"instanceId": "558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a"
},
"name": "在线营销周报",
"tags": [],
"nodes": [
{
"id": "f145b442-3036-4769-b7ad-62c97fa5d662",
"name": "计划触发器",
"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": "OpenAI 聊天模型",
"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": "调用此工具获取 Google Ads 工作流输出"
},
"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": "调用此工具获取 Meta Ads 工作流输出"
},
"typeVersion": 1.3
},
{
"id": "f963f694-cf30-4b81-9ee1-3ad383714770",
"name": "Analytics_Domain_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": "调用此工具获取 SER 数据工作流输出"
},
"typeVersion": 1.3
},
{
"id": "093d83fd-6788-418b-ac38-925b04be2515",
"name": "Analytics_Domain_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": "调用此工具获取 SBW 数据工作流输出"
},
"typeVersion": 1.3
},
{
"id": "57612276-4a48-4a6c-997c-f6c4f1196ed7",
"name": "Analytics_Domain_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": "调用此工具获取 SER 数据工作流输出"
},
"typeVersion": 1.3
},
{
"id": "3dfea4cf-87fb-44d5-9b95-304406da6b18",
"name": "Analytics_Domain_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": "调用此工具获取 SZO 数据工作流输出"
},
"typeVersion": 1.3
},
{
"id": "79f1cd20-6133-4c72-8942-5b1f55adbb7f",
"name": "Analytics_Domain_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": "调用此工具获取 UCH 数据工作流输出"
},
"typeVersion": 1.3
},
{
"id": "0740d70f-a582-4a12-ab12-08b46504e8f8",
"name": "执行工作流触发器",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
-1580,
460
],
"parameters": {},
"typeVersion": 1
},
{
"id": "2449b1be-0ba8-41ae-9ea5-86028da736f0",
"name": "计算器",
"type": "@n8n/n8n-nodes-langchain.toolCalculator",
"position": [
380,
680
],
"parameters": {},
"typeVersion": 1
},
{
"id": "e8b884f1-2013-4c25-a641-8181528db173",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1660,
360
],
"parameters": {
"color": 6,
"width": 2340,
"height": 460,
"content": "## 子工作流：Google Analytics数据"
},
"typeVersion": 1
},
{
"id": "f7d290eb-07d1-413d-ba12-184229e519c0",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1660,
1440
],
"parameters": {
"color": 5,
"width": 2340,
"height": 460,
"content": "## 子工作流：Meta Ads 数据"
},
"typeVersion": 1
},
{
"id": "c78da3ec-fb47-4373-8850-e1af89d7330e",
"name": "便签3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1660,
-280
],
"parameters": {
"width": 2340,
"height": 540,
"content": "## 主工作流：周报助手"
},
"typeVersion": 1
},
{
"id": "79ae6b22-0067-4d51-bc64-e0360d2096f3",
"name": "计算器1",
"type": "@n8n/n8n-nodes-langchain.toolCalculator",
"position": [
440,
1200
],
"parameters": {},
"typeVersion": 1
},
{
"id": "d7608c67-4b10-4860-b683-de265b95cb03",
"name": "便签4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1660,
880
],
"parameters": {
"color": 4,
"width": 2340,
"height": 500,
"content": "## 子工作流：Google Ads 数据"
},
"typeVersion": 1
},
{
"id": "c047cc54-1598-4294-a398-cdb23ea8be4d",
"name": "计算器3",
"type": "@n8n/n8n-nodes-langchain.toolCalculator",
"position": [
460,
1760
],
"parameters": {},
"typeVersion": 1
},
{
"id": "165717a8-b215-4e0e-a5e9-586feaec261e",
"name": "调用 Google Analytics 数据：最近7天",
"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": "调用 Google Analytics 数据：最近7天（去年同期）",
"type": "n8n-nodes-base.googleAnalytics",
"position": [
-400,
460
],
"parameters": {
"endDate": "={{ $json.endDate }}",
"dateRange": "custom",
"startDate": "={{ $json.startDate }}",
"metricsGA4": {
"metricValues": [
{
"listName": "screenPageViews"
},
{},
{
"listName": "sessions"
},
{
"listName": "sessionsPerUser"
},
{
"name": "averageSessionDuration",
"listName": "other"
},
{
"name": "ecommercePurchases",
"listName": "other"
},
{
"name": "averagePurchaseRevenue",
"listName": "other"
},
{
"name": "purchaseRevenue",
"listName": "other"
}
]
},
"propertyId": {
"__rl": true,
"mode": "list",
"value": "345060083",
"cachedResultUrl": "https://analytics.google.com/analytics/web/#/p345060083/",
"cachedResultName": "https://www.ep-reisen.de – GA4"
},
"dimensionsGA4": {
"dimensionValues": [
{}
]
},
"additionalFields": {}
},
"credentials": {
"googleAnalyticsOAuth2": {
"id": "KJj8aAwdrmU2STrI",
"name": "Google Analytics account"
}
},
"typeVersion": 2
},
{
"id": "f1ac5ff4-1b09-442f-96b0-4f1562dffebb",
"name": "计算去年同期",
"type": "n8n-nodes-base.code",
"position": [
-620,
980
],
"parameters": {
"jsCode": "// Aktuelles Datum\nconst today = new Date();\n\n// Berechnung des Enddatums (letzter Tag vor dem aktuellen Datum im Vorjahr)\nconst end = new Date(today.getFullYear() - 1, today.getMonth(), today.getDate() - 1);\n\n// Berechnung des Startdatums (7 Tage vor dem Enddatum)\nconst start = new Date(end);\nstart.setDate(end.getDate() - 6);\n\n// Formatierung zu YYYYMMDD\nfunction formatDate(date) {\n const year = date.getFullYear();\n const month = String(date.getMonth() + 1).padStart(2, '0');\n const day = String(date.getDate()).padStart(2, '0');\n return `${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": "格式化数据输入（去年同期）",
"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": "格式化数据输入（当前年份）",
"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": "分配输入数据（当前年份）",
"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": "汇总输入（当前年份）",
"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": "分配输入（去年同期）",
"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": "={{ $json.cost_micros }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "87381409-c9e5-4d1f-a118-a9e592fa8805",
"name": "汇总输入（去年同期）",
"type": "n8n-nodes-base.summarize",
"position": [
100,
980
],
"parameters": {
"options": {},
"fieldsToSummarize": {
"values": [
{
"field": "Impressions",
"aggregation": "sum"
},
{
"field": "CPM",
"aggregation": "average"
},
{
"field": "Clicks",
"aggregation": "sum"
},
{
"field": "CTR",
"aggregation": "average"
},
{
"field": "Conversions",
"aggregation": "sum"
},
{
"field": "Cost per conversion",
"aggregation": "average"
},
{
"field": "Spend",
"aggregation": "sum"
},
{
"field": "ROAS",
"aggregation": "average"
}
]
}
},
"typeVersion": 1
},
{
"id": "000507e0-7806-4686-b157-56e9d58bd9db",
"name": "计算 Google Ads 请求的日期格式（最近7天）",
"type": "n8n-nodes-base.code",
"position": [
-1600,
980
],
"parameters": {
"jsCode": "// Aktuelles Datum\nconst today = new Date();\n\n// Berechnung des Enddatums (letzter Tag vor dem aktuellen Datum)\nconst end = new Date(today);\nend.setDate(today.getDate() - 1);\n\n// Berechnung des Startdatums (7 Tage vor dem Enddatum)\nconst start = new Date(end);\nstart.setDate(end.getDate() - 6);\n\n// Formatierung zu YYYYMMDD\nfunction formatDate(date) {\n const year = date.getFullYear();\n const month = String(date.getMonth() + 1).padStart(2, '0');\n const day = String(date.getDate()).padStart(2, '0');\n return `${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": "调用 Google Ads 数据：最近7天",
"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": "调用 Google Ads 数据：最近7天（去年同期）",
"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": "调用 Meta Ads 数据：最近7天",
"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\": \"{{ $json.currentPeriod.until }}\"\n }\n}"
},
"graphApiVersion": "v20.0"
},
"credentials": {
"facebookGraphApi": {
"id": "9q3YgP6zvgKBO4aj",
"name": "Facebook Graph account"
}
},
"typeVersion": 1
},
{
"id": "06a32368-f9f1-4311-bd17-3fea6b0d2888",
"name": "调用 Meta Ads 数据：最近7天（去年同期）",
"type": "n8n-nodes-base.facebookGraphApi",
"position": [
-640,
1540
],
"parameters": {
"edge": "insights",
"node": "act_54337533",
"options": {
"queryParametersJson": "={\n \"fields\": \"impressions,cpm,inline_link_clicks,inline_link_click_ctr,conversions,cost_per_conversion,spend,action_values,purchase_roas\",\n \"time_range\": {\n \"since\": \"{{$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": "汇总 Meta 输入（当前年份）",
"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": "分配 Meta 输入数据（当前年份）",
"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": "分配 Meta 输入数据（去年同期）",
"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": "汇总 Meta 输入数据（去年同期）",
"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": "格式化所有 Meta 数据供 LLM 使用",
"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": "处理 Google Ads 报告",
"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": "格式化所有 Google 数据供 LLM 使用",
"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": "分配 Google Analytics 输入数据（当前年份）",
"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": "汇总 Google Analytics 输入（当前年份）",
"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": "计算 Meta Ads 请求的日期格式",
"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": "计算去年同期1",
"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": "分配 Google Analytics 输入数据（去年同期）",
"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": "汇总 Google Analytics 输入（去年同期）",
"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": "发送邮件报告",
"type": "n8n-nodes-base.emailSend",
"position": [
560,
-220
],
"parameters": {
"html": "={{ $json.output }}",
"options": {},
"subject": "Weekly Report: Online Marketing Report",
"toEmail": "friedemann.schuetz@ep-reisen.de",
"fromEmail": "friedemann.schuetz@posteo.de"
},
"credentials": {
"smtp": {
"id": "A71x7hx6lKj7nxp1",
"name": "SMTP account"
}
},
"typeVersion": 2.1
},
{
"id": "928d15f2-141c-4e88-abcc-60799793bde7",
"name": "处理 Meta Ads 报告",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
400,
1540
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o",
"cachedResultName": "GPT-4O"
},
"options": {},
"messages": {
"values": [
{
"content": "=Please analyze the following data and output the results in table form:\n\n| Metric | Last 7 Days | Previous Year | Percentage Change |\n|--------|-------------|---------------|-------------------|\n| Total Impressions | {{$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": "ce9175bd-b355-47eb-8dd8-dd26292e0061",
"name": "处理 Google Analytics 报告",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
400,
460
],
"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| 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!"
}
]
}
},
"credentials": {
"openAiApi": {
"id": "niikB3HA4fT5WAqt",
"name": "OpenAi account"
}
},
"typeVersion": 1.7
},
{
"id": "c960aed4-83c9-4f7f-b341-0eb29d4c3733",
"name": "处理 Telegram 报告",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
0,
0
],
"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 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>"
}
]
}
},
"credentials": {
"openAiApi": {
"id": "niikB3HA4fT5WAqt",
"name": "OpenAi account"
}
},
"typeVersion": 1.7
},
{
"id": "542bad2f-fad2-4e6d-b7af-499c7cd2b35c",
"name": "周报 Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-900,
-220
],
"parameters": {
"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"
},
"typeVersion": 1.7
},
{
"id": "2a405e35-5d34-4f3c-a5e8-81e958cc550a",
"name": "发送 Telegram 报告",
"type": "n8n-nodes-base.telegram",
"position": [
560,
0
],
"parameters": {
"text": "={{ $json.message.content }}",
"chatId": "1810565648",
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "0hnyvxyUMN77sBmU",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "eb8e59fe-2dbd-49e6-a055-a01f7419d8f3",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2120,
-280
],
"parameters": {
"width": 440,
"height": 2180,
"content": "欢迎使用在线营销周报工作流！"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"timezone": "Europe/Berlin",
"callerPolicy": "workflowsFromSameOwner",
"executionOrder": "v1"
},
"versionId": "0595b0a6-3130-4041-b3b1-41e820edd985",
"connections": {
"Meta_Ads": {
"ai_tool": [
[
{
"node": "Weekly Report Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Calculator": {
"ai_tool": [
[
{
"node": "Processing for Google Analytics Report",
"type": "ai_tool",
"index": 0
}
]
]
},
"Google_Ads": {
"ai_tool": [
[
{
"node": "Weekly Report Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Calculator1": {
"ai_tool": [
[
{
"node": "Processing for Google Ads report",
"type": "ai_tool",
"index": 0
}
]
]
},
"Calculator3": {
"ai_tool": [
[
{
"node": "Processing for Meta Ads Report",
"type": "ai_tool",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "Weekly Report Agent",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Weekly Report Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Analytics_Domain_1": {
"ai_tool": [
[
{
"node": "Weekly Report Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Analytics_Domain_2": {
"ai_tool": [
[
{
"node": "Weekly Report Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Analytics_Domain_3": {
"ai_tool": [
[
{
"node": "Weekly Report Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Analytics_Domain_4": {
"ai_tool": [
[
{
"node": "Weekly Report Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Analytics_Domain_5": {
"ai_tool": [
[
{
"node": "Weekly Report Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Weekly Report Agent": {
"main": [
[
{
"node": "Processing for Telegram Report",
"type": "main",
"index": 0
},
{
"node": "Send mail report",
"type": "main",
"index": 0
}
]
]
},
"Send Telegram report": {
"main": [
[]
]
},
"Execute Workflow Trigger": {
"main": [
[
{
"node": "Call Google Analytics data: Last 7 days",
"type": "main",
"index": 0
}
]
]
},
"Assign input (previous year)": {
"main": [
[
{
"node": "Summarize input (previous year)",
"type": "main",
"index": 0
}
]
]
},
"Format all Meta data for LLM": {
"main": [
[
{
"node": "Processing for Meta Ads Report",
"type": "main",
"index": 0
}
]
]
},
"Format all Google data for LLM": {
"main": [
[
{
"node": "Processing for Google Ads report",
"type": "main",
"index": 0
}
]
]
},
"Processing for Telegram Report": {
"main": [
[
{
"node": "Send Telegram report",
"type": "main",
"index": 0
}
]
]
},
"Summarize input (current year)": {
"main": [
[
{
"node": "Calculation same period previous year",
"type": "main",
"index": 0
}
]
]
},
"Call Meta Ads Data: Last 7 days": {
"main": [
[
{
"node": "Assign Meta data from input (current year)",
"type": "main",
"index": 0
}
]
]
},
"Summarize input (previous year)": {
"main": [
[
{
"node": "Format all Google data for LLM",
"type": "main",
"index": 0
}
]
]
},
"Format data input (current year)": {
"main": [
[
{
"node": "Assign data from input (current year)",
"type": "main",
"index": 0
}
]
]
},
"Call Google Ads Data: Last 7 days": {
"main": [
[
{
"node": "Format data input (current year)",
"type": "main",
"index": 0
}
]
]
},
"Format data input (previous year)": {
"main": [
[
{
"node": "Assign input (previous year)",
"type": "main",
"index": 0
}
]
]
},
"Summarize Meta input (current year)": {
"main": [
[
{
"node": "Call Meta Ads Data: Last 7 days (previous year)",
"type": "main",
"index": 0
}
]
]
},
"Assign data from input (current year)": {
"main": [
[
{
"node": "Summarize input (current year)",
"type": "main",
"index": 0
}
]
]
},
"Calculation same period previous year": {
"main": [
[
{
"node": "Call Google Ads Data: Last 7 days (previous year)",
"type": "main",
"index": 0
}
]
]
},
"Assign Meta data input (previous year)": {
"main": [
[
{
"node": "Summarize Meta data input (previous year)",
"type": "main",
"index": 0
}
]
]
},
"Calculation same period previous year1": {
"main": [
[
{
"node": "Call Google Analytics data: Last 7 days (previous year)",
"type": "main",
"index": 0
}
]
]
},
"Call Google Analytics data: Last 7 days": {
"main": [
[
{
"node": "Assign Google Analytics data input (current year)",
"type": "main",
"index": 0
}
]
]
},
"Summarize Meta data input (previous year)": {
"main": [
[
{
"node": "Format all Meta data for LLM",
"type": "main",
"index": 0
}
]
]
},
"Assign Meta data from input (current year)": {
"main": [
[
{
"node": "Summarize Meta input (current year)",
"type": "main",
"index": 0
}
]
]
},
"Calculate date format for meta ads request s": {
"main": [
[
{
"node": "Call Meta Ads Data: Last 7 days",
"type": "main",
"index": 0
}
]
]
},
"Call Meta Ads Data: Last 7 days (previous year)": {
"main": [
[
{
"node": "Assign Meta data input (previous year)",
"type": "main",
"index": 0
}
]
]
},
"Summarize Google Analytics input (current year)": {
"main": [
[
{
"node": "Calculation same period previous year1",
"type": "main",
"index": 0
}
]
]
},
"Summarize Google Analytics input (previous year)": {
"main": [
[
{
"node": "Processing for Google Analytics Report",
"type": "main",
"index": 0
}
]
]
},
"Assign Google Analytics data input (current year)": {
"main": [
[
{
"node": "Summarize Google Analytics input (current year)",
"type": "main",
"index": 0
}
]
]
},
"Call Google Ads Data: Last 7 days (previous year)": {
"main": [
[
{
"node": "Format data input (previous year)",
"type": "main",
"index": 0
}
]
]
},
"Assign Google Analytics data input (previous year)": {
"main": [
[
{
"node": "Summarize Google Analytics input (previous year)",
"type": "main",
"index": 0
}
]
]
},
"Call Google Analytics data: Last 7 days (previous year)": {
"main": [
[
{
"node": "Assign Google Analytics data input (previous year)",
"type": "main",
"index": 0
}
]
]
},
"Calculate date format for Google Ads request (last 7 days)": {
"main": [
[
{
"node": "Call Google Ads Data: Last 7 days",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
高级 - 营销
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
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