Amazon广告AI优化
高级
这是一个AI, Marketing领域的自动化工作流，包含 22 个节点。主要使用 If, Set, Code, Gmail, Merge 等节点，结合人工智能技术实现智能自动化。 使用GPT-4o优化Amazon广告的出价、预算和关键词推荐
前置要求
- •Google 账号和 Gmail API 凭证
- •Google Drive API 凭证
- •OpenAI API Key
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": "Agn9dzf5YTqcmQGN",
"meta": {
"instanceId": "8029058e18ae4ed6081000c1270d96039ad05959052aa2034dd96a215849bcf7",
"templateCredsSetupCompleted": true
},
"name": "Amazon Ads AI 优化",
"tags": [
{
"id": "vjZ7QzTW2i7StzqX",
"name": "AI Flow",
"createdAt": "2025-04-10T00:32:55.235Z",
"updatedAt": "2025-04-10T00:32:55.235Z"
}
],
"nodes": [
{
"id": "0286c917-d771-4835-a5f8-71f79a5e59e8",
"name": "列出文件",
"type": "n8n-nodes-base.googleDrive",
"position": [
-100,
-800
],
"parameters": {
"filter": {
"folderId": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "",
"cachedResultName": "<choose report folder>"
}
},
"options": {},
"resource": "fileFolder",
"searchMethod": "query"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "UPKjIF2z8RkkmP21",
"name": "Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "7d9b0c0a-86ee-4aae-8d73-66f409b0a57f",
"name": "OpenAI 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1620,
-540
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o",
"cachedResultName": "gpt-4o"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "qszlkCg3ypMJEWvt",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "d3d58b0a-3107-4525-92a8-d54332e9a8a5",
"name": "是否为 XLSX",
"type": "n8n-nodes-base.if",
"position": [
540,
-800
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "820b48a1-676d-400b-894f-3b3a5203eca7",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json.name }}",
"rightValue": ".xlsx"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "884e4a08-3b19-4485-aba7-c69887607b82",
"name": "获取文件",
"type": "n8n-nodes-base.googleDrive",
"position": [
100,
-800
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.id }}"
},
"options": {
"binaryPropertyName": "data",
"googleFileConversion": {
"conversion": {}
}
},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "UPKjIF2z8RkkmP21",
"name": "Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "c72fde38-de38-4734-a7e8-aa70e8638cad",
"name": "合并 XLSX 和 CSV",
"type": "n8n-nodes-base.merge",
"position": [
1200,
-800
],
"parameters": {},
"typeVersion": 3.1
},
{
"id": "cd23e23c-9bb7-4b8d-90ab-8917783cf1ab",
"name": "格式化数据",
"type": "n8n-nodes-base.code",
"position": [
1420,
-800
],
"parameters": {
"jsCode": "const result = {};\n\nfor (const item of items) {\n const fileName = item.json.fileName || item.json.name || 'unknown_file';\n const baseName = fileName\n .split('.')[0]\n .replace(/\\s+/g, '_')\n .toLowerCase()\n .replace(/\\s*\\(\\d+\\)$/, '')\n .replace(/_+$/, '')\n .trim();\n\n // regex → result key\n const map = [\n { key: 'search_terms', regex: /search_term/ },\n { key: 'campaigns', regex: /campaign/ },\n { key: 'targeting', regex: /targeting/ },\n { key: 'placement', regex: /placement/ },\n { key: 'budgets', regex: /budget/ },\n ];\n\n const entry = map.find(m => m.regex.test(baseName));\n const mappedKey = entry ? entry.key : null;\n\n console.log('fileName:', fileName);\n console.log('baseName:', baseName);\n console.log('mappedKey:', mappedKey);\n\n if (!mappedKey) {\n throw new Error(`${fileName} → ${baseName} → Unrecognized file name structure`);\n }\n result[mappedKey] = result[mappedKey] || [];\n result[mappedKey].push(item.json);\n}\n\nreturn [{ json: result }];\n\n\n\n"
},
"typeVersion": 2
},
{
"id": "02172577-d867-45a4-96ea-eb105169deff",
"name": "设置文件名",
"type": "n8n-nodes-base.set",
"position": [
320,
-800
],
"parameters": {
"options": {
"dotNotation": true,
"ignoreConversionErrors": false
},
"assignments": {
"assignments": [
{
"id": "a467fabb-d7d0-482d-8a6a-afcd97cc0d8c",
"name": "fileName",
"type": "string",
"value": "={{ $json.name }}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "31db008f-20e4-4fe3-a9d0-1815b3802690",
"name": "便签 2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-140,
-1040
],
"parameters": {
"color": 3,
"width": 180,
"height": 200,
"content": "## 更改"
},
"typeVersion": 1
},
{
"id": "0ba8c273-8369-4009-9b93-b0fb243a3c85",
"name": "便签 3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1640,
-1000
],
"parameters": {
"width": 260,
"content": "## AI 分析"
},
"typeVersion": 1
},
{
"id": "451bb016-1766-4688-aafc-75937e0d5c3f",
"name": "便签 5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-660,
-580
],
"parameters": {
"width": 540,
"height": 700,
"content": "## Amazon Ads 报告调度说明"
},
"typeVersion": 1
},
{
"id": "a671a4f1-05b0-4d7c-9cc1-8c2838593e34",
"name": "便签6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-60,
-580
],
"parameters": {
"width": 400,
"height": 520,
"content": "## 报告交付"
},
"typeVersion": 1
},
{
"id": "63a7f391-2bc7-41f9-a53f-e742950c60bf",
"name": "便签7",
"type": "n8n-nodes-base.stickyNote",
"position": [
360,
-580
],
"parameters": {
"width": 360,
"height": 520,
"content": "## 升级！🚀"
},
"typeVersion": 1
},
{
"id": "e5a24705-0ad5-4629-b183-d279bdca8b29",
"name": "保留文件名",
"type": "n8n-nodes-base.set",
"position": [
980,
-900
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d6883fe9-d04f-4c86-bc9a-f4dd526afca2",
"name": "fileName",
"type": "string",
"value": "={{ $('is XLSX').item.json.fileName }}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "3c315a0c-a89e-490a-9a82-e3d96d2b94c7",
"name": "电子邮件优化",
"type": "n8n-nodes-base.gmail",
"position": [
2016,
-800
],
"webhookId": "b9d7c1a9-a1a3-4b97-97c9-a272f0e97127",
"parameters": {
"sendTo": "={{ $('Email Options').first().json.send_to }}",
"message": "={{\n (() => {\n let raw = $node[\"AI Analyze\"].json[\"text\"];\n\n // 🔧 Remove triple backticks and optional \"json\" tag\n raw = raw.replace(/^```json\\s*/i, \"\").replace(/```$/, \"\").trim();\n\n let data;\n\n try {\n data = JSON.parse(raw);\n } catch (err) {\n return `<p><strong>❌ Failed to parse AI output.</strong><br>${err.message}</p>`;\n }\n\n let msg = \"<h2>Amazon Ads Optimization Instructions</h2>\";\n\n // Optional Summary Totals\n const totalSpend = (data.campaign_adjustments || []).reduce((sum, c) => sum + (c.projected_daily_spend_usd || 0), 0);\n const totalSales = (data.campaign_adjustments || []).reduce((sum, c) => sum + (c.projected_daily_sales_usd || 0), 0);\n msg += `<p><strong>Total Budget Increase Recommended:</strong><br>`;\n msg += `Estimated daily spend: <strong>$${totalSpend.toFixed(2)}</strong><br>`;\n msg += `Estimated daily sales: <strong>$${totalSales.toFixed(2)}</strong></p>`;\n\n // Campaign Adjustments\n msg += \"<h3>Campaign Adjustments:</h3><ul>\";\n (data.campaign_adjustments || []).forEach(c => {\n msg += `<li><strong>${c.campaign_name}</strong><ul>`;\n if (c.default_bid_multiplier !== undefined) {\n const percent = Math.round((1 - c.default_bid_multiplier) * 100);\n msg += `<li>Default bid × ${c.default_bid_multiplier} (<em>–${percent}%</em>)</li>`;\n }\n if (c.bid_adjustments) {\n msg += \"<li>Bid adjustments:<ul>\";\n msg += `<li>Top of Search: ${c.bid_adjustments.top_of_search ?? 0}%</li>`;\n msg += `<li>Rest of Search: ${c.bid_adjustments.rest_of_search ?? 0}%</li>`;\n msg += `<li>Product pages: ${c.bid_adjustments.product_pages ?? 0}%</li>`;\n msg += \"</ul></li>\";\n }\n if (c.budget_change?.action !== \"none\") {\n msg += `<li>Budget: ${c.budget_change.action} by ${c.budget_change.percent}%</li>`;\n }\n if (c.projected_daily_spend_usd && c.projected_daily_sales_usd) {\n msg += `<li>Est. daily spend: $${c.projected_daily_spend_usd.toFixed(2)}</li>`;\n msg += `<li>Est. daily sales: $${c.projected_daily_sales_usd.toFixed(2)}</li>`;\n if (c.estimated_acos_percent !== undefined) {\n msg += `<li>ACoS: ${c.estimated_acos_percent}%</li>`;\n }\n if (c.estimated_roas_multiple !== undefined) {\n const color = c.estimated_roas_multiple < 1.0 ? 'red' : 'green';\n msg += `<li>ROAS: <span style=\"color:${color}\">${c.estimated_roas_multiple.toFixed(2)}x</span></li>`;\n }\n }\n msg += \"</ul></li>\";\n });\n msg += \"</ul>\";\n\n // Keyword Recommendations\n if ((data.keyword_recommendations?.add_exact?.length || 0) > 0 ||\n (data.keyword_recommendations?.negative?.length || 0) > 0) {\n msg += \"<h3>Keyword Recommendations:</h3><ul>\";\n (data.keyword_recommendations.add_exact || []).forEach(k => {\n msg += `<li>Add exact: \"<strong>${k.term}</strong>\" in <em>${k.campaign_name} / ${k.ad_group_name}</em> at <strong>$${k.suggested_bid}</strong></li>`;\n });\n (data.keyword_recommendations.negative || []).forEach(n => {\n if (typeof n === 'string') {\n msg += `<li>Negative: \"<strong>${n}</strong>\"</li>`;\n } else {\n msg += `<li>Negative: \"<strong>${n.term}</strong>\" in <em>${n.campaign_name || 'Unspecified Campaign'}</em></li>`;\n }\n });\n msg += \"</ul>\";\n }\n\n // Targeting Recommendations\n if ((data.targeting_recommendations || []).length > 0) {\n msg += \"<h3>Targeting Recommendations:</h3><ul>\";\n data.targeting_recommendations.forEach(t => {\n const valueText = t.value ? ` by ${t.value}` : \"\";\n msg += `<li>${t.target} in <em>${t.campaign_name} / ${t.ad_group_name}</em>: <strong>${t.action}</strong>${valueText}</li>`;\n });\n msg += \"</ul>\";\n }\n\n return msg;\n })()\n}}\n",
"options": {},
"subject": "={{ $('Email Options').first().json.subject }}"
},
"credentials": {
"gmailOAuth2": {
"id": "6m7O3IpXy4mCRogW",
"name": "Brian Gmail"
}
},
"typeVersion": 2.1
},
{
"id": "f4fc0a70-2df9-4b7b-b60c-856b1b74ead7",
"name": "提取 XLSX 数据",
"type": "n8n-nodes-base.extractFromFile",
"position": [
760,
-900
],
"parameters": {
"options": {},
"operation": "xlsx"
},
"typeVersion": 1
},
{
"id": "d0618a5b-1995-474d-a969-38e856b1b91a",
"name": "提取 CSV 数据",
"type": "n8n-nodes-base.extractFromFile",
"position": [
760,
-700
],
"parameters": {
"options": {},
"binaryPropertyName": "=data"
},
"typeVersion": 1
},
{
"id": "67f9d0a2-2f34-416a-bc11-ef776e6e4ab3",
"name": "保留 CSV 文件名",
"type": "n8n-nodes-base.set",
"position": [
980,
-700
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d6883fe9-d04f-4c86-bc9a-f4dd526afca2",
"name": "fileName",
"type": "string",
"value": "={{ $('is XLSX').item.json.fileName }}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "818205c9-0fe9-4fe6-8556-657f087ba7b9",
"name": "点击“测试工作流”时",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-500,
-800
],
"parameters": {},
"typeVersion": 1
},
{
"id": "1612753d-0b7f-4ae5-9ec0-8ad39f1003b1",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
-580,
-1040
],
"parameters": {
"width": 220,
"content": "## 触发器"
},
"typeVersion": 1
},
{
"id": "158da856-b682-4f98-afcc-4fa12b978db0",
"name": "电子邮件选项",
"type": "n8n-nodes-base.set",
"position": [
-300,
-800
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "60c2189a-2ca3-43ac-bffc-371bbc3c123b",
"name": "send_to",
"type": "string",
"value": "<enter send to email address>"
},
{
"id": "c6f588b3-b8b9-4a83-817b-a68de36d2570",
"name": "subject",
"type": "string",
"value": "<enter the email subject for report emails>"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "4f1f251e-5cfb-468d-9531-9c2ba2c875f6",
"name": "便签 1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-320,
-1040
],
"parameters": {
"color": 3,
"width": 160,
"content": "## 更改！"
},
"typeVersion": 1
},
{
"id": "ca2f4a7c-5aa9-4f6a-bc04-aedce5e0aaed",
"name": "AI 分析",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
1640,
-800
],
"parameters": {
"text": "={{JSON.stringify($json)}}",
"messages": {
"messageValues": [
{
"message": "You are an Amazon Ads Optimization Assistant. You will receive five structured datasets from Sponsored Products reports:\n- search_terms\n- campaigns\n- targeting\n- placement\n- budgets\n\nYour goal is to generate precise performance recommendations for bid strategy, targeting, and budget scaling.\n\n---\n\n1. Campaign Adjustments:\nFor each campaign, return:\n- campaign_name (string)\n- default_bid_multiplier (float, optional — only if bid should change)\n- bid_adjustments: { top_of_search, rest_of_search, product_pages } (percentages)\n- budget_change: { action: increase | decrease | none, percent: float }\n- projected_daily_spend_usd (float)\n- projected_daily_sales_usd (float)\n- estimated_acos_percent (float)\n- estimated_roas_multiple (float)\n\nBase projections on historical 30-day data. If a budget increase is recommended, scale projected spend and sales proportionally. Return NaN only if data is insufficient.\n\n---\n\n2. Keyword Recommendations:\nRecommend at least 5 exact-match keywords to add. Each must include:\n- term\n- campaign_name\n- ad_group_name\n- suggested_bid (USD)\n\nAlso return at least 3 negative keywords:\n- { term: \"...\", campaign_name?: \"...\" }\n\nDo not return keyword recommendations that lack campaign and ad group names.\n\n---\n\n3. Targeting Recommendations:\nRecommend at least 3 targets to pause or increase bids. Return:\n- target (ASIN, keyword, or match group)\n- campaign_name\n- ad_group_name\n- action: \"pause\" or \"increase_bid\"\n- value: float (if increasing bid)\n\n---\n\nRespond ONLY with a JSON object in this exact format. Do NOT include backticks, code blocks, or explanations:\n\n{\n \"campaign_adjustments\": [...],\n \"keyword_recommendations\": {\n \"add_exact\": [...],\n \"negative\": [...]\n },\n \"targeting_recommendations\": [...]\n}\n\n"
}
]
},
"promptType": "define"
},
"typeVersion": 1.6
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "286aae2a-f8df-489d-9f03-89d0b50b1800",
"connections": {
"is XLSX": {
"main": [
[
{
"node": "Extract XLSX Data",
"type": "main",
"index": 0
}
],
[
{
"node": "Extract CSV Data",
"type": "main",
"index": 0
}
]
]
},
"Get File": {
"main": [
[
{
"node": "Set fileName",
"type": "main",
"index": 0
}
]
]
},
"AI Analyze": {
"main": [
[
{
"node": "Email Optimizations",
"type": "main",
"index": 0
}
]
]
},
"List Files": {
"main": [
[
{
"node": "Get File",
"type": "main",
"index": 0
}
]
]
},
"Format Data": {
"main": [
[
{
"node": "AI Analyze",
"type": "main",
"index": 0
}
]
]
},
"Set fileName": {
"main": [
[
{
"node": "is XLSX",
"type": "main",
"index": 0
}
]
]
},
"Email Options": {
"main": [
[
{
"node": "List Files",
"type": "main",
"index": 0
}
]
]
},
"Extract CSV Data": {
"main": [
[
{
"node": "Preserve CSV File Name",
"type": "main",
"index": 0
}
]
]
},
"Extract XLSX Data": {
"main": [
[
{
"node": "Preserve File Name",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Analyze",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Merge XLSX and CSV": {
"main": [
[
{
"node": "Format Data",
"type": "main",
"index": 0
}
]
]
},
"Preserve File Name": {
"main": [
[
{
"node": "Merge XLSX and CSV",
"type": "main",
"index": 0
}
]
]
},
"Preserve CSV File Name": {
"main": [
[
{
"node": "Merge XLSX and CSV",
"type": "main",
"index": 1
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Email Options",
"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 - 人工智能, 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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工作流信息
难度等级
高级
节点数量22
分类2
节点类型11
作者
Brian Money
@aspereoExperienced Linux administrator, entrepreneur, and automation enthusiast, I specialize in crafting robust, scalable workflows with n8n. I have a passion for business automation, integrating complex systems seamlessly, and sharing practical templates that empower others to automate effectively.
外部链接
在 n8n.io 查看 →
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