{
"meta": {
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "fead4f03-9842-47f8-838f-c5137b2f0d5a",
"name": "Template Guide",
"type": "n8n-nodes-base.stickyNote",
"position": [
-368,
-32
],
"parameters": {
"width": 486,
"height": 608,
"content": "## Analyze Meta ads with Gemini and Google Sheets\n\n**How it works:**\n1. **Extract:** Fetches Ad and Campaign data from Meta API (Yesterday's data).\n2. **Process:** Aggregates data by Campaign and Ad Set using Code node.\n3. **Analyze:** Sends data to Gemini to generate qualitative insights for both Client and Agency.\n4. **Save:** Exports raw data and AI insights to Google Sheets.\n\n**Setup steps:**\n1. **Configuration:** Update the `Set Configuration` node with your `Ad Account ID` and `Email`.\n2. **Credentials:** Authenticate your `Facebook Graph API`, `Google Sheets`, `Gmail`, and `Google Gemini` credentials.\n3. **Spreadsheet:** Create a Google Sheet and update the `Save...` nodes with your Spreadsheet ID.\n4. **Facebook Graph API** [Guide](https://docs.google.com/document/d/1ydWNom0TUVh5SkU9IymlpnM_NXbTqHeL_YetDLn-9m0/edit?usp=sharing)\n9. **Google sheets** [template](https://docs.google.com/spreadsheets/d/11M6Co13t9t2P7NtFaTm9VXHnzUHXO_RGYf-FRnHkS28/edit?usp=sharing)\n10. Use this format to pull the specific date range: `time_range[since]=YYYY-MM-DD&time_range[until]=YYYY-MM-DD`\n\n\nHappy setup,\nBakdaulet Abdikhan\n\nPS. Feel free to add slack/email nodes to notify alerts/updates ;)"
},
"typeVersion": 1
},
{
"id": "8936023f-8462-4525-aca0-1f76203fcbd6",
"name": "Get Config",
"type": "n8n-nodes-base.set",
"position": [
1552,
-240
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "678b725a-e235-48b1-904d-1fb7ea9ad061",
"name": "Ad Account ID",
"type": "string",
"value": "YOUR_ACT_ID_HERE"
},
{
"id": "b0b6e2b9-6f30-4b53-a61d-485edac8d27b",
"name": "Email",
"type": "string",
"value": "user@example.com"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "193a9ee7-1c12-46cb-b318-f767137a316d",
"name": "Send Error Email",
"type": "n8n-nodes-base.gmail",
"position": [
1776,
-240
],
"parameters": {
"sendTo": "={{ $('Get Config').first().json.Email }}",
"message": "=Error: {{ $('Error Trigger').first().json.execution.error.message }}
\nStack: {{ $('Error Trigger').first().json.execution.error.stack }}
\nLast Node Executed: {{ $('Error Trigger').first().json.execution.lastNodeExecuted }}",
"options": {
"appendAttribution": false
},
"subject": "=N8N ERROR: Daily Ad Pulse for Ad Account {{ $('Get Config').first().json['Ad Account ID'] }} Failed"
},
"credentials": {
"gmailOAuth2": {
"name": ""
}
},
"typeVersion": 2.1
},
{
"id": "a9d35f35-e8c1-42f9-bb5b-8ca26eefc6be",
"name": "Structure Data Hierarchy",
"type": "n8n-nodes-base.code",
"position": [
784,
128
],
"parameters": {
"jsCode": "// Get all items from previous node\nconst allItems = $input.all();\n\n// Flatten everything into one array (each item.json is an ad)\nconst ads = allItems.map(item => item.json);\n\n// Prepare campaign grouping\nconst campaigns = {};\n\nfor (const ad of ads) {\n const {\n campaign_id,\n campaign_name,\n adset_id,\n adset_name,\n ad_id,\n ad_name,\n spend,\n reach,\n impressions,\n clicks,\n ctr,\n cpc,\n cpm,\n date_start,\n date_stop,\n results\n } = ad;\n\n // --- Group by Campaign ---\n if (!campaigns[campaign_id]) {\n campaigns[campaign_id] = {\n campaign_id,\n campaign_name,\n adsets: {}\n };\n }\n\n // --- Group by Adset ---\n if (!campaigns[campaign_id].adsets[adset_id]) {\n campaigns[campaign_id].adsets[adset_id] = {\n adset_id,\n adset_name,\n ads: []\n };\n }\n\n // --- Add Ad ---\n campaigns[campaign_id].adsets[adset_id].ads.push({\n ad_id,\n ad_name,\n metrics: {\n spend,\n reach,\n impressions,\n clicks,\n ctr,\n cpc,\n cpm\n },\n results,\n date: {\n start: date_start,\n stop: date_stop\n }\n });\n}\n\n// Convert nested objects to arrays\nconst output = Object.values(campaigns).map(campaign => ({\n ...campaign,\n adsets: Object.values(campaign.adsets)\n}));\n\n// Return final grouped data\nreturn [{ json: { campaigns: output } }];\n"
},
"typeVersion": 2
},
{
"id": "29c78e97-ea13-4ff3-9a9e-329a9ac3eb7d",
"name": "Write Insights",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
1216,
128
],
"parameters": {
"text": "=Analyze the following Meta Ads data and return structured insights.\n\nData:\n{{ JSON.stringify($json.campaigns, null, 2) }}\n\nRules:\n- Always include both campaign-level and adset-level insights.\n- Write in a professional, concise tone suitable for client reports.\n- For each adset, identify:\n - best_performing_ad\n - worst_performing_ad\n - adset_suggestion (1\u20132 short sentences)\n- For each campaign, summarize overall campaign performance with campaign_suggestion (1\u20132 sentences).\n\nReturn only valid JSON following this schema:\n\n[\n {\n \"campaign_name\": \"\",\n \"campaign_id\": \"\",\n \"adsets\": [\n {\n \"adset_name\": \"\",\n \"adset_id\": \"\",\n \"best_performing_ad\": \"\",\n \"worst_performing_ad\": \"\",\n \"adset_suggestion\": \"\"\n }\n ],\n \"campaign_suggestion\": \"\"\n }\n]\n",
"batching": {},
"messages": {
"messageValues": [
{
"message": "=You are MetaInsightsGPT \u2014 an expert Meta Ads performance analyst AI working inside a marketing agency automation system.\n\nYour responsibilities:\n- Read structured JSON ad performance data (campaigns \u2192 adsets \u2192 ads).\n- Evaluate ads objectively using spend, CTR, CPC, CPM, and conversions (if available).\n- Identify the best- and worst-performing ads per adset.\n- Generate useful, data-driven insights:\n - For the agency \u2192 what to optimize or scale.\n - For the client \u2192 what\u2019s working and why.\n- Write in English.\n\nPerformance logic:\n- Prioritize CTR and conversions as success indicators.\n- If conversions missing, use CTR/CPC ratio.\n- Consider spend and impressions for significance.\n- Ignore zero-impression ads.\n- Never use vague words like \u201cgood\u201d, \u201cbad\u201d, \u201ctry more\u201d.\n- Always quantify insights (e.g., \u201cCTR 2.3% vs. 0.7%\u201d).\n- Output must be strictly valid JSON (no markdown, no commentary).\n\nYou output insights in a consistent JSON structure so they can be parsed into Google Sheets.\n"
},
{
"type": "AIMessagePromptTemplate",
"message": "=[\n {\n \"campaign_name\": \"Engagement Campaign\",\n \"campaign_id\": \"1234567890\",\n \"adsets\": [\n {\n \"adset_name\": \"Broad Targeting\",\n \"adset_id\": \"0987654321\",\n \"best_performing_ad\": \"Video_Variant_A\",\n \"worst_performing_ad\": \"Image_Variant_B\",\n \"adset_suggestion\": \"Video_Variant_A achieved 0.9% CTR with 32 clicks. Image_Variant_B underperformed with 0 clicks; consider pausing.\"\n }\n ],\n \"campaign_suggestion\": \"This campaign performs efficiently (CTR ~0.9%) but has uneven engagement across adsets. Reallocate budget toward higher-performing ads.\"\n }\n]\n"
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.7
},
{
"id": "8ccc0b9f-d870-4e5f-a0d0-469bb2bfecc0",
"name": "Save AI Insights",
"type": "n8n-nodes-base.googleSheets",
"position": [
2032,
128
],
"parameters": {
"columns": {
"value": {
"Date": "={{ $now.minus({ days: 1 }).toFormat('yyyy-MM-dd') }}",
"Ad Set": "={{ $json.adsets[0].adset_name }}",
"Best Ad": "={{ $json.adsets[0].best_performing_ad }}",
"Campaign": "={{ $json.campaign_name }}",
"Worst Ad": "={{ $json.adsets[0].worst_performing_ad }}",
"Agency Suggestion": "={{ $json.adsets[0].suggestion_for_agency }}",
"Client Suggestion": "={{ $json.adsets[0].suggestion_for_client }}"
},
"schema": [
{
"id": "Date",
"type": "string",
"display": true,
"required": false,
"displayName": "Date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Campaign",
"type": "string",
"display": true,
"required": false,
"displayName": "Campaign",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Ad Set",
"type": "string",
"display": true,
"required": false,
"displayName": "Ad Set",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Best Ad",
"type": "string",
"display": true,
"required": false,
"displayName": "Best Ad",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Worst Ad",
"type": "string",
"display": true,
"required": false,
"displayName": "Worst Ad",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Agency Suggestion",
"type": "string",
"display": true,
"required": false,
"displayName": "Agency Suggestion",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Client Suggestion",
"type": "string",
"display": true,
"required": false,
"displayName": "Client Suggestion",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "name",
"value": "AI_Insights"
},
"documentId": {
"__rl": true,
"mode": "id",
"value": "YOUR_SPREADSHEET_ID_HERE"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"name": ""
}
},
"typeVersion": 4.7
},
{
"id": "1980b51b-fb7a-4b18-95aa-9cb02ec16158",
"name": "Save Ad Data",
"type": "n8n-nodes-base.googleSheets",
"position": [
784,
304
],
"parameters": {
"columns": {
"value": {
"cpc": "={{ $json.cpc }}",
"cpm": "={{ $json.cpm }}",
"ctr": "={{ $json.ctr }}",
"date": "={{ $json.date_stop }}",
"ad_id": "={{ $json.ad_id }}",
"reach": "={{ $json.reach }}",
"spend": "={{ $json.spend }}",
"clicks": "={{ $json.clicks }}",
"ad_name": "={{ $json.ad_name }}",
"results": "={{ $json.results[0].values[0].value }}",
"adset_id": "={{ $json.adset_id }}",
"adset_name": "={{ $json.adset_name }}",
"campaign_id": "={{ $json.campaign_id }}",
"impressions": "={{ $json.impressions }}",
"campaign_name": "={{ $json.campaign_name }}"
},
"schema": [
{
"id": "date",
"type": "string",
"display": true,
"required": false,
"displayName": "date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "campaign_id",
"type": "string",
"display": true,
"required": false,
"displayName": "campaign_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "campaign_name",
"type": "string",
"display": true,
"required": false,
"displayName": "campaign_name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "adset_id",
"type": "string",
"display": true,
"required": false,
"displayName": "adset_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "adset_name",
"type": "string",
"display": true,
"required": false,
"displayName": "adset_name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "ad_id",
"type": "string",
"display": true,
"required": false,
"displayName": "ad_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "ad_name",
"type": "string",
"display": true,
"required": false,
"displayName": "ad_name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "spend",
"type": "string",
"display": true,
"required": false,
"displayName": "spend",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "results",
"type": "string",
"display": true,
"required": false,
"displayName": "results",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "reach",
"type": "string",
"display": true,
"required": false,
"displayName": "reach",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "impressions",
"type": "string",
"display": true,
"required": false,
"displayName": "impressions",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "clicks",
"type": "string",
"display": true,
"required": false,
"displayName": "clicks",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "ctr",
"type": "string",
"display": true,
"required": false,
"displayName": "ctr",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cpc",
"type": "string",
"display": true,
"required": false,
"displayName": "cpc",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cpm",
"type": "string",
"display": true,
"required": false,
"displayName": "cpm",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "name",
"value": "Ads"
},
"documentId": {
"__rl": true,
"mode": "id",
"value": "YOUR_SPREADSHEET_ID_HERE"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"name": ""
}
},
"typeVersion": 4.7
},
{
"id": "dd95a46b-39ff-49b4-8d34-516a19a8ea73",
"name": "Save Campaign Data",
"type": "n8n-nodes-base.googleSheets",
"position": [
1008,
-240
],
"parameters": {
"columns": {
"value": {
"CPL": "={{ $json.cost_per_result[0].values[0].value }}",
"CTR": "={{ $json.ctr }}",
"Date": "={{ $json.date_start }}",
"Reach": "={{ $json.reach }}",
"Spend": "={{ $json.spend }}",
"Clicks": "={{ $json.clicks }}",
"Campaign ID": "={{ $json.campaign_id }}",
"Impressions": "={{ $json.impressions }}",
"Campaign Name": "={{ $json.campaign_name }}",
"Conversations Started": "={{ $json.results[0].values[0].value }}"
},
"schema": [
{
"id": "Date",
"type": "string",
"display": true,
"required": false,
"displayName": "Date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Campaign ID",
"type": "string",
"display": true,
"required": false,
"displayName": "Campaign ID",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Campaign Name",
"type": "string",
"display": true,
"required": false,
"displayName": "Campaign Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Reach",
"type": "string",
"display": true,
"required": false,
"displayName": "Reach",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Impressions",
"type": "string",
"display": true,
"required": false,
"displayName": "Impressions",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Conversations Started",
"type": "string",
"display": true,
"required": false,
"displayName": "Conversations Started",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "CPL",
"type": "string",
"display": true,
"required": false,
"displayName": "CPL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Clicks",
"type": "string",
"display": true,
"required": false,
"displayName": "Clicks",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "CTR",
"type": "string",
"display": true,
"required": false,
"displayName": "CTR",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Spend",
"type": "string",
"display": true,
"required": false,
"displayName": "Spend",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "name",
"value": "Campaigns"
},
"documentId": {
"__rl": true,
"mode": "id",
"value": "YOUR_SPREADSHEET_ID_HERE"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"name": ""
}
},
"typeVersion": 4.7
},
{
"id": "574a9644-05f3-4df0-a9d8-4fea57a8f562",
"name": "Set Configuration",
"type": "n8n-nodes-base.set",
"position": [
-16,
-240
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "678b725a-e235-48b1-904d-1fb7ea9ad061",
"name": "Ad Account ID",
"type": "string",
"value": "YOUR_ACT_ID_HERE"
},
{
"id": "b0b6e2b9-6f30-4b53-a61d-485edac8d27b",
"name": "Email",
"type": "string",
"value": "user@example.com"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "e86432fc-a55d-41f6-ad7f-270129ae2f7e",
"name": "Split AI Insights",
"type": "n8n-nodes-base.splitOut",
"position": [
1840,
128
],
"parameters": {
"options": {},
"fieldToSplitOut": "output"
},
"typeVersion": 1
},
{
"id": "20e6389f-3feb-4b96-bb12-eaedb5c6cc6a",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1392,
352
],
"parameters": {
"jsonSchemaExample": "[\n {\n \"campaign_name\": \"string\",\n \"adsets\": [\n {\n \"adset_name\": \"string\",\n \"best_performing_ad\": \"string\",\n \"worst_performing_ad\": \"string\",\n \"suggestion_for_agency\": \"string\",\n \"suggestion_for_client\": \"string\"\n }\n ]\n }\n]\n"
},
"typeVersion": 1.3
},
{
"id": "482dd147-d952-4915-adf9-1b7766e47741",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1216,
352
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "3650d021-a1db-494c-9869-027994b0131a",
"name": "Get Ad Insights - Ad Level",
"type": "n8n-nodes-base.facebookGraphApi",
"position": [
368,
128
],
"parameters": {
"edge": "insights?fields=ad_id,ad_name,adset_id,adset_name,campaign_id,campaign_name,spend,reach,impressions,clicks,results,ctr,cpc,cpm&level=ad&date_preset=yesterday",
"node": "=act_{{ $('Set Configuration').first().json['Ad Account ID'] }}",
"options": {},
"graphApiVersion": "v24.0"
},
"credentials": {
"facebookGraphApi": {
"name": ""
}
},
"typeVersion": 1
},
{
"id": "131c45ee-14b8-457f-b6ea-aabe65961104",
"name": "Get Ad Insights - Campaign Level",
"type": "n8n-nodes-base.facebookGraphApi",
"position": [
352,
-240
],
"parameters": {
"edge": "=insights?fields=campaign_id,campaign_name,spend,impressions,clicks,results,marketing_messages_delivered,actions,reach,ctr,cost_per_result&level=campaign&date_preset=yesterday",
"node": "=act_{{ $('Set Configuration').first().json['Ad Account ID'] }}",
"options": {},
"graphApiVersion": "v24.0"
},
"credentials": {
"facebookGraphApi": {
"name": ""
}
},
"typeVersion": 1
},
{
"id": "90e8a0dc-3788-4925-94b1-9fbac67d91f4",
"name": "Split Ad Data",
"type": "n8n-nodes-base.splitOut",
"position": [
592,
128
],
"parameters": {
"options": {},
"fieldToSplitOut": "data"
},
"typeVersion": 1
},
{
"id": "132888b7-a5ee-4985-bb70-184345e2eb9a",
"name": "Filter Zero Spend",
"type": "n8n-nodes-base.filter",
"position": [
800,
-240
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "066d6215-ac80-4510-9061-bd121fcae8ff",
"operator": {
"type": "string",
"operation": "notEquals"
},
"leftValue": "={{ $json.spend }}",
"rightValue": "0"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "b6db113e-a4e3-48b6-baaf-48a6050b3490",
"name": "Split Campaign Data",
"type": "n8n-nodes-base.splitOut",
"position": [
592,
-240
],
"parameters": {
"options": {},
"fieldToSplitOut": "data"
},
"typeVersion": 1
},
{
"id": "91b6916f-c095-4961-8c12-f4c51dc33453",
"name": "Error Trigger",
"type": "n8n-nodes-base.errorTrigger",
"position": [
1328,
-240
],
"parameters": {},
"typeVersion": 1
},
{
"id": "39328528-4432-41cb-9928-db5520f8ea1d",
"name": "Schedule - Once per day",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-320,
-240
],
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 6
}
]
}
},
"typeVersion": 1.2
},
{
"id": "1c62cf57-7a30-4c82-be4e-f5ee409419e8",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-368,
-368
],
"parameters": {
"color": 7,
"width": 480,
"height": 288,
"content": "## Configuration & schedule\n\u2022 Define run frequency\n\u2022 Set account and reporting parameters\n"
},
"typeVersion": 1
},
{
"id": "5990642f-977b-4e46-9ad6-04557dfb58c7",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
320,
-368
],
"parameters": {
"color": 7,
"width": 880,
"height": 288,
"content": "## Campaign-level data collection\n\u2022 Fetch campaign performance data\n\u2022 Remove zero-spend campaigns\n\u2022 Store clean campaign metrics\n"
},
"typeVersion": 1
},
{
"id": "23cf66be-16d5-45fb-bd5e-061ac14560ca",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
320,
-16
],
"parameters": {
"color": 7,
"width": 720,
"height": 496,
"content": "## Ad-level data collection\n\u2022 Fetch ad-level performance data\n\u2022 Normalize and structure records\n\u2022 Persist raw ad metrics\n"
},
"typeVersion": 1
},
{
"id": "e9927923-b091-4dfc-8b71-026663ca5f86",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1136,
-16
],
"parameters": {
"color": 7,
"width": 480,
"height": 512,
"content": "## AI analysis & insights\n\u2022 Analyze performance with Gemini\n\u2022 Detect winners and underperformers\n\u2022 Generate actionable recommendations\n"
},
"typeVersion": 1
},
{
"id": "cb8b95e6-7967-4c67-9f7b-cfe41f2362c1",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
1728,
-16
],
"parameters": {
"color": 7,
"width": 480,
"height": 512,
"content": "## Insights storage\n\u2022 Split structured AI output\n\u2022 Save insights for reporting\n"
},
"typeVersion": 1
},
{
"id": "e5dcc793-68a0-4f4f-8f1d-2d8a86f710cf",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
1280,
-368
],
"parameters": {
"color": 7,
"width": 720,
"height": 288,
"content": "## Error handling\n\u2022 Catch workflow failures\n\u2022 Send notification email\n"
},
"typeVersion": 1
}
],
"connections": {
"Get Config": {
"main": [
[
{
"node": "Send Error Email",
"type": "main",
"index": 0
}
]
]
},
"Error Trigger": {
"main": [
[
{
"node": "Get Config",
"type": "main",
"index": 0
}
]
]
},
"Split Ad Data": {
"main": [
[
{
"node": "Save Ad Data",
"type": "main",
"index": 0
},
{
"node": "Structure Data Hierarchy",
"type": "main",
"index": 0
}
]
]
},
"Write Insights": {
"main": [
[
{
"node": "Split AI Insights",
"type": "main",
"index": 0
}
]
]
},
"Filter Zero Spend": {
"main": [
[
{
"node": "Save Campaign Data",
"type": "main",
"index": 0
}
]
]
},
"Set Configuration": {
"main": [
[
{
"node": "Get Ad Insights - Campaign Level",
"type": "main",
"index": 0
}
]
]
},
"Split AI Insights": {
"main": [
[
{
"node": "Save AI Insights",
"type": "main",
"index": 0
}
]
]
},
"Split Campaign Data": {
"main": [
[
{
"node": "Filter Zero Spend",
"type": "main",
"index": 0
}
]
]
},
"Schedule - Once per day": {
"main": [
[
{
"node": "Set Configuration",
"type": "main",
"index": 0
},
{
"node": "Get Ad Insights - Ad Level",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Write Insights",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structure Data Hierarchy": {
"main": [
[
{
"node": "Write Insights",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Write Insights",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Get Ad Insights - Ad Level": {
"main": [
[
{
"node": "Split Ad Data",
"type": "main",
"index": 0
}
]
]
},
"Get Ad Insights - Campaign Level": {
"main": [
[
{
"node": "Split Campaign Data",
"type": "main",
"index": 0
}
]
]
}
}
}