{ "meta": { "templateCredsSetupCompleted": true }, "name": "Brevo Email Campaign Stats \u2192 Weekly Google Sheets Report", "tags": [], "nodes": [ { "id": "3544a224-7ab2-4c3e-8cfe-7a4311dd8e11", "name": "HTTP Request", "type": "n8n-nodes-base.httpRequest", "position": [ 224, 0 ], "parameters": { "url": "https://api.brevo.com/v3/emailCampaigns", "options": {}, "sendQuery": true, "authentication": "predefinedCredentialType", "queryParameters": { "parameters": [ { "name": "status", "value": "sent" }, { "name": "limit", "value": "10" } ] }, "nodeCredentialType": "sendInBlueApi" }, "typeVersion": 4.3 }, { "id": "4057508b-9721-4988-9c84-1c43c432842c", "name": "Append row in sheet", "type": "n8n-nodes-base.googleSheets", "position": [ 704, 0 ], "parameters": { "columns": { "value": { "Date": "={{ $json.Date }}", "Sent": "={{ $json.Sent }}", "Delivered": "={{ $json.Delivered }}", "Open Rate": "={{ $json[\"Open Rate\"] }}", "Click Rate": "={{ $json[\"Click Rate\"] }}", "Bounce Rate": "={{ $json[\"Bounce Rate\"] }}", "Campaign Name": "={{ $json[\"Campaign Name\"] }}" }, "schema": [ { "id": "Date", "type": "string", "display": true, "required": false, "displayName": "Date", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Campaign Name", "type": "string", "display": true, "removed": false, "required": false, "displayName": "Campaign Name", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Sent", "type": "string", "display": true, "required": false, "displayName": "Sent", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Delivered", "type": "string", "display": true, "required": false, "displayName": "Delivered", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Open Rate", "type": "string", "display": true, "required": false, "displayName": "Open Rate", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Click Rate", "type": "string", "display": true, "required": false, "displayName": "Click Rate", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Bounce Rate", "type": "string", "display": true, "required": false, "displayName": "Bounce Rate", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "operation": "append", "sheetName": { "__rl": true, "mode": "list", "value": "gid=0", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit#gid=0", "cachedResultName": "Sheet1" }, "documentId": { "__rl": true, "mode": "list", "value": "YOUR_GOOGLE_SHEET_ID", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit", "cachedResultName": "Brevo Data" } }, "typeVersion": 4.7 }, { "id": "529e2213-0c10-4474-aebb-0bcc8a84be04", "name": "AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1792, 0 ], "parameters": { "text": "=You are a Senior Marketing Analyst. Review this comprehensive campaign data for the last 7 days:\n\n| Campaign | Sent | Delivered | Open Rate | Click Rate | Bounce Rate |\n| :--- | :--- | :--- | :--- | :--- | :--- |\n{{ $json[\"Campaign Name\"].map((name, i) => `| ${name} | ${$json[\"Sent\"][i]} | ${$json[\"Delivered\"][i]} | ${($json[\"Open Rate\"][i] * 100).toFixed(1)}% | ${($json[\"Click Rate\"][i] * 100).toFixed(1)}% | ${($json[\"Bounce Rate\"][i] * 100).toFixed(1)}% |`).join('\\n') }}\n\nWrite a 3-sentence executive summary for the Marketing Lead:\n1. Identify the campaign with the best \"Engagement Depth\" (high Click-to-Open ratio).\n2. Alert the lead if any \"Bounce Rate\" is above or equal to 2% (indicating list health issues).\n3. Suggest a specific strategy for next week based on these conversion trends.", "options": {}, "promptType": "define" }, "typeVersion": 3 }, { "id": "0003e316-2e42-4244-b721-415e51006de1", "name": "Groq Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatGroq", "position": [ 1864, 224 ], "parameters": { "model": "llama-3.3-70b-versatile", "options": {} }, "typeVersion": 1 }, { "id": "74d41cf2-0720-41f1-8812-489aa40c4e31", "name": "Edit Fields", "type": "n8n-nodes-base.set", "position": [ 2144, 0 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "40b7af5a-c109-4205-aff1-6a98df5b1be8", "name": "emailBoady", "type": "string", "value": "=
\n \n
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Weekly Marketing Intelligence

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Reporting Period: {{ $today.minus({days: 7}).toFormat('dd LLL') }} - {{ $today.toFormat('dd LLL yyyy') }}

\n
\n\n
\n

\n \ud83e\udd16 AI Executive Summary\n

\n

\n \"{{ $json.output }}\"\n

\n
\n\n
\n

Campaign Metrics Breakdown

\n \n \n \n \n \n \n \n \n \n \n \n {{ $node[\"Aggregate weekly data\"].json[\"Campaign Name\"].map((name, i) => `\n \n \n \n \n \n \n \n `).join('') }}\n \n
CampaignDeliveredOpen RateClick RateBounce
${name}${$node[\"Aggregate weekly data\"].json[\"Delivered\"][i]}${($node[\"Aggregate weekly data\"].json[\"Open Rate\"][i] * 100).toFixed(1)}%${($node[\"Aggregate weekly data\"].json[\"Click Rate\"][i] * 100).toFixed(1)}%= 0.02 ? '#d93025' : '#5f6368' };\">\n ${($node[\"Aggregate weekly data\"].json[\"Bounce Rate\"][i] * 100).toFixed(1)}%\n
\n
\n\n
\n This automated report was generated by n8n Intelligence. Data sourced from Brevo & Google Sheets.\n
\n
" } ] } }, "typeVersion": 3.4 }, { "id": "d9ab4d26-70d1-46f7-8699-517291e6d2dc", "name": "Send a message", "type": "n8n-nodes-base.gmail", "position": [ 2368, 0 ], "parameters": { "sendTo": "user@example.com", "message": "={{ $json.emailBoady }}", "options": {}, "subject": "=\ud83d\ude80 Weekly Marketing Performance Brief: {{ $today.toFormat('dd/MM/yyyy') }}" }, "typeVersion": 2.2 }, { "id": "8839952d-ad31-4913-a4f6-2dd6274c0232", "name": "Get row(s) in sheet", "type": "n8n-nodes-base.googleSheets", "position": [ 1152, 0 ], "parameters": { "options": {}, "sheetName": { "__rl": true, "mode": "list", "value": "gid=0", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit#gid=0", "cachedResultName": "Sheet1" }, "documentId": { "__rl": true, "mode": "list", "value": "YOUR_GOOGLE_SHEET_ID", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/YOUR_GOOGLE_SHEET_ID/edit", "cachedResultName": "Brevo Data" } }, "typeVersion": 4.7 }, { "id": "32971d84-6da7-4a23-a8ac-b3f199fed010", "name": "Aggregate", "type": "n8n-nodes-base.aggregate", "position": [ 960, 0 ], "parameters": { "options": {}, "aggregate": "aggregateAllItemData" }, "typeVersion": 1 }, { "id": "92dbdec2-6a0b-42a1-941e-0d5b9d01dcad", "name": "Filtered 7 days data", "type": "n8n-nodes-base.code", "position": [ 1344, 0 ], "parameters": { "jsCode": "// 1. Get the date for exactly 7 days ago\nconst sevenDaysAgo = new Date();\nsevenDaysAgo.setDate(sevenDaysAgo.getDate() - 7);\nsevenDaysAgo.setHours(0, 0, 0, 0);\n\nconst weeklyData = [];\n\nfor (const item of items) {\n const rowDate = new Date(item.json.Date);\n\n if (rowDate >= sevenDaysAgo) {\n weeklyData.push({\n json: {\n ...item.json,\n aiContext: `${item.json['Campaign Name']} sent on ${item.json.Date} had a ${item.json['Open Rate']} open rate.`\n }\n });\n }\n}\n\nreturn weeklyData;" }, "typeVersion": 2 }, { "id": "7182d6fa-864d-4c30-8b0e-c3576f3763dd", "name": "Aggregate weekly data", "type": "n8n-nodes-base.aggregate", "position": [ 1568, 0 ], "parameters": { "options": {}, "fieldsToAggregate": { "fieldToAggregate": [ { "fieldToAggregate": "Campaign Name" }, { "fieldToAggregate": "Sent" }, { "fieldToAggregate": "Delivered" }, { "fieldToAggregate": "Open Rate" }, { "fieldToAggregate": "Click Rate" }, { "fieldToAggregate": "Bounce Rate" } ] } }, "typeVersion": 1 }, { "id": "7a362464-dac7-48e7-a0c3-169c51456125", "name": "Data Cleaning1", "type": "n8n-nodes-base.code", "position": [ 448, 0 ], "parameters": { "jsCode": "const campaigns = items[0].json.campaigns || [];\n\nreturn campaigns.map(campaign => {\n const stats = campaign.statistics.campaignStats[0] || {};\n \n const sent = stats.sent || 0;\n const delivered = stats.delivered || 0;\n const opens = stats.uniqueViews || 0;\n const clicks = stats.uniqueClicks || 0;\n const bounces = (stats.softBounces || 0) + (stats.hardBounces || 0);\n\n const openRate = delivered > 0 ? (opens / delivered) : 0;\n const clickRate = delivered > 0 ? (clicks / delivered) : 0;\n const bounceRate = delivered > 0 ? (bounces / delivered) : 0;\n\n return {\n json: {\n \"Campaign Name\": campaign.name,\n \"Date\": campaign.sentDate.split('T')[0],\n \"Sent\": sent,\n \"Delivered\": delivered,\n \"Open Rate\": openRate,\n \"Click Rate\": clickRate,\n \"Bounce Rate\": bounceRate\n }\n };\n});" }, "typeVersion": 2 }, { "id": "075b271c-3fbc-40da-9605-6c522f545531", "name": "Schedule Trigger", "type": "n8n-nodes-base.scheduleTrigger", "position": [ 0, 0 ], "parameters": { "rule": { "interval": [ { "field": "weeks", "triggerAtDay": [ 1 ], "triggerAtHour": 8 } ] } }, "typeVersion": 1.3 }, { "id": "3489ef20-c734-4d2d-8dfe-7ac8e7cd7f7b", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -656, -320 ], "parameters": { "width": 592, "height": 656, "content": "## Brevo Email Campaign Stats \u2192 Weekly Google Sheets Report\n\n### HOW IT WORKS\nThis workflow serves as an automated \"Bridge\" between marketing execution and executive reporting. It triggers weekly to fetch sent campaign data from the Brevo API. A custom JavaScript layer cleans the raw JSON and calculates high-level metrics (Open, Click, and Bounce rates). This data is archived in Google Sheets to build a long-term performance history. Finally, Google Gemini AI analyzes the latest 7-day trends and generates a 3-sentence executive summary, which is delivered via a professionally formatted HTML Gmail report.\n\n### HOW TO SET UP\n\n**Credentials**: Ensure the HTTP Request node has a valid api-key header from Brevo.\n**Sheet Mapping**: Your Google Sheet must have headers matching the \"Data Cleaning\" node keys (e.g., Campaign Name, Open Rate).\n**AI Logic**: The Gemini node must be in \"Expression\" mode to map the aggregated arrays into a Markdown table.\n**Trigger**: Set the \"Schedule Trigger\" to your preferred reporting day (e.g., Mondays at 08:00).\n\n### CUSTOMIZATION\n\n**Thresholds**: Change the 0.02 (2%) value in the HTML code to adjust the \"Red Alert\" for Bounce Rates.\n**Channels**: Add a Slack or Discord node at the end for instant team notifications.\n**Depth**: Adjust the \"Filter\" node to analyze the last 30 days instead of 7 for monthly reviews." }, "typeVersion": 1 }, { "id": "94ba5320-79d4-45ef-bcb9-03d79b2f0ead", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -48, -320 ], "parameters": { "color": 7, "width": 640, "height": 656, "content": "## STEP 1: Data Acquisition & Cleaning\nNodes: Schedule \u2192 HTTP Request \u2192 Data Cleaning (Code)\nExecution: Triggers the workflow to fetch \"Sent\" campaigns from the Brevo API. The code immediately flattens the nested JSON and calculates the Open, Click, and Bounce rates for the current run." }, "typeVersion": 1 }, { "id": "dd5b2369-fb12-4b25-bea9-64b52aa8b0af", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 608, -320 ], "parameters": { "color": 7, "width": 288, "height": 656, "content": "## STEP 2: Database Logging\nNode: Append Row (Sheets)\nExecution: Maps the cleaned data fields to a Google Sheet. It appends the current campaign statistics as a new row to create a permanent, historical archive for long-term tracking." }, "typeVersion": 1 }, { "id": "0d163f4f-b2ce-4722-9d36-dc85901f4907", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 912, -320 ], "parameters": { "color": 7, "width": 592, "height": 656, "content": "## STEP 3: Historical Retrieval & Filtering\nNodes: Aggregate \u2192 Get Rows (Sheets) \u2192 Filtered 7 Days (Code)\nExecution: Pulls the entire database from Google Sheets. The code then strips away any data older than one week, leaving only the relevant \"7-Day Window\" for the current report." }, "typeVersion": 1 }, { "id": "db01440f-6dcf-44cd-ba8a-a090194b0d5c", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 1520, -320 ], "parameters": { "color": 7, "width": 768, "height": 656, "content": "## STEP 4: Weekly Intelligence Analysis\nNodes: Aggregate Weekly Data \u2192 AI Agent (Gemini) \u2192 Edit Fields\nExecution: Bundles the 7-day data into a single object. Gemini analyzes the trends to write an executive summary, and Edit Fields cleans the text for the final email layout." }, "typeVersion": 1 }, { "id": "fe9407cc-b739-4b02-b2ff-8860e78f4ae2", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 2304, -320 ], "parameters": { "color": 7, "width": 288, "height": 656, "content": "## STEP 5: Executive Email Delivery\nNode: Gmail\nExecution: Injects the AI-generated insights and the campaign performance table into a responsive HTML template. It sends the finalized intelligence report to the designated stakeholders." }, "typeVersion": 1 } ], "active": false, "settings": { "executionOrder": "v1" }, "connections": { "AI Agent": { "main": [ [ { "node": "Edit Fields", "type": "main", "index": 0 } ] ] }, "Aggregate": { "main": [ [ { "node": "Get row(s) in sheet", "type": "main", "index": 0 } ] ] }, "Edit Fields": { "main": [ [ { "node": "Send a message", "type": "main", "index": 0 } ] ] }, "HTTP Request": { "main": [ [ { "node": "Data Cleaning1", "type": "main", "index": 0 } ] ] }, "Data Cleaning1": { "main": [ [ { "node": "Append row in sheet", "type": "main", "index": 0 } ] ] }, "Groq Chat Model": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Schedule Trigger": { "main": [ [ { "node": "HTTP Request", "type": "main", "index": 0 } ] ] }, "Append row in sheet": { "main": [ [ { "node": "Aggregate", "type": "main", "index": 0 } ] ] }, "Get row(s) in sheet": { "main": [ [ { "node": "Filtered 7 days data", "type": "main", "index": 0 } ] ] }, "Filtered 7 days data": { "main": [ [ { "node": "Aggregate weekly data", "type": "main", "index": 0 } ] ] }, "Aggregate weekly data": { "main": [ [ { "node": "AI Agent", "type": "main", "index": 0 } ] ] } } }