{
"id": "Agn9dzf5YTqcmQGN",
"meta": {
"instanceId": "8029058e18ae4ed6081000c1270d96039ad05959052aa2034dd96a215849bcf7",
"templateCredsSetupCompleted": true
},
"name": "Amazon Ads AI Optimization",
"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": "List Files",
"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 Chat Model",
"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": 1.1999999999999999555910790149937383830547332763671875
},
{
"id": "d3d58b0a-3107-4525-92a8-d54332e9a8a5",
"name": "is 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": 2.20000000000000017763568394002504646778106689453125
},
{
"id": "884e4a08-3b19-4485-aba7-c69887607b82",
"name": "Get File",
"type": "n8n-nodes-base.googleDrive",
"position": [
100,
-800
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.id }}"
},
"options": {
"binaryPropertyName": "data",
"googleFileConversion": {
"conversion": []
}
},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "UPKjIF2z8RkkmP21",
"name": "Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "c72fde38-de38-4734-a7e8-aa70e8638cad",
"name": "Merge XLSX and CSV",
"type": "n8n-nodes-base.merge",
"position": [
1200,
-800
],
"parameters": [],
"typeVersion": 3.100000000000000088817841970012523233890533447265625
},
{
"id": "cd23e23c-9bb7-4b8d-90ab-8917783cf1ab",
"name": "Format Data",
"type": "n8n-nodes-base.code",
"position": [
1420,
-800
],
"parameters": {
"jsCode": "const result = {};\n\nfor (const item of items) {\n const fileName = item.json.fileName || item.json.name || 'unknown_file';\n const baseName = fileName\n .split('.')[0]\n .replace(\/\\s+\/g, '_')\n .toLowerCase()\n .replace(\/\\s*\\(\\d+\\)$\/, '')\n .replace(\/_+$\/, '')\n .trim();\n\n \/\/ regex \u2192 result key\n const map = [\n { key: 'search_terms', regex: \/search_term\/ },\n { key: 'campaigns', regex: \/campaign\/ },\n { key: 'targeting', regex: \/targeting\/ },\n { key: 'placement', regex: \/placement\/ },\n { key: 'budgets', regex: \/budget\/ },\n ];\n\n const entry = map.find(m => m.regex.test(baseName));\n const mappedKey = entry ? entry.key : null;\n\n console.log('fileName:', fileName);\n console.log('baseName:', baseName);\n console.log('mappedKey:', mappedKey);\n\n if (!mappedKey) {\n throw new Error(`${fileName} \u2192 ${baseName} \u2192 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": "Set fileName",
"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": 3.399999999999999911182158029987476766109466552734375
},
{
"id": "31db008f-20e4-4fe3-a9d0-1815b3802690",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-140,
-1040
],
"parameters": {
"color": 3,
"width": 180,
"height": 200,
"content": "## Change\nChoose the \"folder\" in the filter options to the folder containing your Ad reports\n"
},
"typeVersion": 1
},
{
"id": "0ba8c273-8369-4009-9b93-b0fb243a3c85",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1640,
-1000
],
"parameters": {
"width": 260,
"content": "## AI Analysis\nUses GPT-4o to process the bundled reports and generate optimization instructions.\nPasses system instructions and cleaned data as input."
},
"typeVersion": 1
},
{
"id": "451bb016-1766-4688-aafc-75937e0d5c3f",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-660,
-580
],
"parameters": {
"width": 540,
"height": 700,
"content": "## Amazon Ads Report Scheduling Instructions\nTo run this workflow, schedule the following Sponsored Products reports in the Amazon Ads Console:\n\nUse \"Detailed\" for:\n\nSearch Term Report \u2192 Sponsored_Products_Search_Term_Detailed_L30\n\nTargeting Report \u2192 Sponsored_Products_Targeting_Detailed_L30\n\nUse \"Summary\" for:\n\nCampaign Report \u2192 Sponsored_Products_Campaign_L30\n\nPlacement Report \u2192 Sponsored_Products_Placement_L30\n\nBudget Report \u2192 Sponsored_Products_Budget_L30\n\nShared settings for all reports:\n\nDate Range: Last 30 Days\n\nFrequency: Daily\n\nFormat: .xlsx or .csv\n\nDelivery: Email + Console Download\n\nMake sure filenames match expectations so the workflow can route them correctly."
},
"typeVersion": 1
},
{
"id": "a671a4f1-05b0-4d7c-9cc1-8c2838593e34",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-60,
-580
],
"parameters": {
"width": 400,
"height": 520,
"content": "## Report Delivery\n\nHow to get reports into Google Drive\n\nUse one of the following:\n\n\ud83d\udce5 Manual Upload \u2013 Download emailed reports and move them to your Drive folder\n\n\ud83e\udd16 Automation \u2013 Use n8n to watch Gmail for no-reply@amazon.com, extract attachments, and upload to Drive\n\n\ud83d\udcbb Drive Sync Folder \u2013 Use a local folder synced to Google Drive with rules for report types\n\nReports must match expected filenames so the flow can identify and classify them."
},
"typeVersion": 1
},
{
"id": "63a7f391-2bc7-41f9-a53f-e742950c60bf",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
360,
-580
],
"parameters": {
"width": 360,
"height": 520,
"content": "## Upgrade! \ud83d\ude80\n\nApply for an Amazon Advertising API developer account to unlock full automation:\n\nGenerate reports programmatically via the Reports API\n\nFetch report files directly into n8n using HTTP or custom nodes\n\nEliminate email + Drive dependency entirely\n\n\ud83d\udd17 https:\/\/advertising.amazon.com\/API\/docs\/en-us\/\n\nOnce approved, you can schedule report generation and download all required data securely and automatically.\n**Double click** to edit me. [Guide](https:\/\/docs.n8n.io\/workflows\/sticky-notes\/)"
},
"typeVersion": 1
},
{
"id": "e5a24705-0ad5-4629-b183-d279bdca8b29",
"name": "Preserve File Name",
"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": 3.399999999999999911182158029987476766109466552734375
},
{
"id": "3c315a0c-a89e-490a-9a82-e3d96d2b94c7",
"name": "Email Optimizations",
"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 = $node[\"AI Analyze\"].json[\"text\"];\n\n \/\/ \ud83d\udd27 Remove triple backticks and optional \"json\" tag\n raw = raw.replace(\/^```json\\s*\/i, \"\").replace(\/```$\/, \"\").trim();\n\n let data;\n\n try {\n data = JSON.parse(raw);\n } catch (err) {\n return `<p><strong>\u274c 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 \u00d7 ${c.default_bid_multiplier} (<em>\u2013${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": 2.100000000000000088817841970012523233890533447265625
},
{
"id": "f4fc0a70-2df9-4b7b-b60c-856b1b74ead7",
"name": "Extract XLSX Data",
"type": "n8n-nodes-base.extractFromFile",
"position": [
760,
-900
],
"parameters": {
"options": [],
"operation": "xlsx"
},
"typeVersion": 1
},
{
"id": "d0618a5b-1995-474d-a969-38e856b1b91a",
"name": "Extract CSV Data",
"type": "n8n-nodes-base.extractFromFile",
"position": [
760,
-700
],
"parameters": {
"options": [],
"binaryPropertyName": "=data"
},
"typeVersion": 1
},
{
"id": "67f9d0a2-2f34-416a-bc11-ef776e6e4ab3",
"name": "Preserve CSV File Name",
"type": "n8n-nodes-base.set",
"position": [
980,
-700
],
"parameters": {
"options": [],
"assignments": {
"assignments": [
{
"id": "d6883fe9-d04f-4c86-bc9a-f4dd526afca2",
"name": "fileName",
"type": "string",
"value": "={{ $('is XLSX').item.json.fileName }}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.399999999999999911182158029987476766109466552734375
},
{
"id": "818205c9-0fe9-4fe6-8556-657f087ba7b9",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-500,
-800
],
"parameters": [],
"typeVersion": 1
},
{
"id": "1612753d-0b7f-4ae5-9ec0-8ad39f1003b1",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-580,
-1040
],
"parameters": {
"width": 220,
"content": "## Trigger\nYou may replace this with a scheduled event or poll the folder for changes."
},
"typeVersion": 1
},
{
"id": "158da856-b682-4f98-afcc-4fa12b978db0",
"name": "Email Options",
"type": "n8n-nodes-base.set",
"position": [
-300,
-800
],
"parameters": {
"options": [],
"assignments": {
"assignments": [
{
"id": "60c2189a-2ca3-43ac-bffc-371bbc3c123b",
"name": "send_to",
"type": "string",
"value": "<enter send to email address>"
},
{
"id": "c6f588b3-b8b9-4a83-817b-a68de36d2570",
"name": "subject",
"type": "string",
"value": "<enter the email subject for report emails>"
}
]
}
},
"typeVersion": 3.399999999999999911182158029987476766109466552734375
},
{
"id": "4f1f251e-5cfb-468d-9531-9c2ba2c875f6",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-320,
-1040
],
"parameters": {
"color": 3,
"width": 160,
"content": "## Change!\nEdit these email options."
},
"typeVersion": 1
},
{
"id": "ca2f4a7c-5aa9-4f6a-bc04-aedce5e0aaed",
"name": "AI Analyze",
"type": "@n8n\/n8n-nodes-langchain.chainLlm",
"position": [
1640,
-800
],
"parameters": {
"text": "={{JSON.stringify($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 \u2014 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": 1.600000000000000088817841970012523233890533447265625
}
],
"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 \u2018Test workflow\u2019": {
"main": [
[
{
"node": "Email Options",
"type": "main",
"index": 0
}
]
]
}
}
}
