{"workflow":{"id":14671,"name":"Generate weekly Brevo campaign analytics reports with Groq and Google Sheets","views":0,"recentViews":0,"totalViews":0,"createdAt":"2026-04-03T10:11:12.945Z","description":"**How it works:**\n\nThis workflow fetches sent campaign data from Brevo on a schedule, calculates key metrics (open rate, click rate, bounce rate), and stores results in Google Sheets. It then filters to a rolling 7-day window, runs an AI analysis to generate an executive summary with performance highlights and recommendations, and delivers a structured HTML report by email to stakeholders.\n\n**Step-by-step:**\n\n* Data collection\n * **Schedule Trigger** – Fires the workflow on your chosen day and time.\n * **HTTP Request (Brevo)** – Fetches sent campaign data via the Brevo API.\n * **Transform Data** – Calculates open rate, click rate, and bounce rate per campaign.\n * **Write to Google Sheets** – Appends processed results to the historical database.\n\n* Data preparation\n * **Read from Google Sheets** – Retrieves the latest stored campaign records.\n * **Filter to 7-day window** – Narrows data to the last 7 days for trend analysis.\n * **Aggregate Results** – Summarises campaign performance across the window.\n\n* AI analysis\n * **AI Summary Engine** – Evaluates trends and generates an executive summary.\n * **LLM (Groq or alternative)** – Provides the AI model for analysis.\n * **Format AI Output** – Structures the summary for use in the report.\n\n* Report delivery\n * **Build HTML Report** – Compiles metrics, highlights, and recommendations into a styled email.\n * **Send via Gmail** – Delivers the final report to stakeholder recipients.\n\nWhy use this?\n* Automates the full reporting lifecycle from data pull to inbox delivery.\n* Surfaces top-performing campaigns and list health issues without manual review.\n* Keeps a growing historical database for long-term trend tracking.\n* Easily adjustable reporting window, thresholds, and notification channels.\n* Works with any AI provider — swap Groq for any compatible LLM.","workflow":{"meta":{"templateCredsSetupCompleted":true},"name":"Brevo Email Campaign Stats → 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
\n

Weekly Marketing Intelligence

\n

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

\n
\n\n
\n

\n 🤖 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":"=🚀 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 → 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 → HTTP Request → 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 → Get Rows (Sheets) → 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 → AI Agent (Gemini) → 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,"pinData":{},"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}]]}}},"lastUpdatedBy":1,"workflowInfo":{"nodeCount":18,"nodeTypes":{"n8n-nodes-base.set":{"count":1},"n8n-nodes-base.code":{"count":2},"n8n-nodes-base.gmail":{"count":1},"n8n-nodes-base.aggregate":{"count":2},"n8n-nodes-base.stickyNote":{"count":6},"n8n-nodes-base.httpRequest":{"count":1},"n8n-nodes-base.googleSheets":{"count":2},"@n8n/n8n-nodes-langchain.agent":{"count":1},"n8n-nodes-base.scheduleTrigger":{"count":1},"@n8n/n8n-nodes-langchain.lmChatGroq":{"count":1}}},"status":"published","readyToDemo":null,"user":{"name":"Avkash Kakdiya","username":"itechnotion","bio":"🚀 Founder of iTechNotion — we build custom AI-powered automation workflows for startups, agencies, and founders.\n💡 Specializing in agentic AI systems, content automation, sales funnels, and digital workers.\n🔧 14+ years in tech | Building scalable no-code/low-code solutions using n8n, OpenAI, and other API-first tools.\n📬 Let’s automate what slows you down.","verified":true,"links":["https://calendly.com/itechnotion_sales/schedule-your-expert-consultation-for-automation"],"avatar":"https://gravatar.com/avatar/cd18cea4647ff1df4cb154c7d172ca67dcf656f09a3f1ffece5646296d1822d5?r=pg&d=retro&size=200"},"nodes":[{"id":18,"icon":"file:googleSheets.svg","name":"n8n-nodes-base.googleSheets","codex":{"data":{"alias":["CSV","Sheet","Spreadsheet","GS"],"resources":{"generic":[{"url":"https://n8n.io/blog/love-at-first-sight-ricardos-n8n-journey/","icon":"❤️","label":"Love at first sight: Ricardo’s n8n journey"},{"url":"https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/","icon":"🧬","label":"Why business process automation with n8n can change your daily life"},{"url":"https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/","icon":"🧾","label":"Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"},{"url":"https://n8n.io/blog/supercharging-your-conference-registration-process-with-n8n/","icon":"🎫","label":"Supercharging your conference registration process with n8n"},{"url":"https://n8n.io/blog/creating-triggers-for-n8n-workflows-using-polling/","icon":"⏲","label":"Creating triggers for n8n workflows using polling"},{"url":"https://n8n.io/blog/no-code-ecommerce-workflow-automations/","icon":"store","label":"6 e-commerce workflows to power up your Shopify s"},{"url":"https://n8n.io/blog/migrating-community-metrics-to-orbit-using-n8n/","icon":"📈","label":"Migrating Community Metrics to Orbit using n8n"},{"url":"https://n8n.io/blog/automate-google-apps-for-productivity/","icon":"💡","label":"15 Google apps you can combine and automate to increase productivity"},{"url":"https://n8n.io/blog/your-business-doesnt-need-you-to-operate/","icon":" 🖥️","label":"Hey founders! 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