{"workflow":{"id":14011,"name":"Analyze ad performance from Meta, Google and Microsoft using Groq Llama 3.3 and Gmail","views":24,"recentViews":1,"totalViews":24,"createdAt":"2026-03-12T09:58:02.554Z","description":"## How it works\nThis workflow automatically generates a detailed AI-powered \ncampaign performance report across Meta, Google and Microsoft \nAds and emails it to your team every month.\n\nIt reads campaign data from three tabs in a Google Sheet \n(Google, Meta, Microsoft), merges all rows, and passes them \nto a Code node that calculates KPIs and builds a structured \nprompt. Groq AI (Llama 3.3 70B) then analyzes the data and \ngenerates expert insights. A second Code node combines the \nKPIs and AI analysis into a full HTML email with platform \ntables, charts, benchmarks and recommendations — sent \nautomatically via Gmail.\n\n## Setup steps\n1. Create a Google Sheet with 3 tabs: Google, Meta, Microsoft\n2. Paste your monthly ad exports into the matching tab\n3. Connect your Google account in the 3 Sheets nodes and \n select the correct tab in each\n4. Add your Groq API key in the HTTP Request node header\n5. Connect your Gmail account in the Send node and set your \n recipient email\n6. Activate — the workflow runs automatically on schedule","workflow":{"id":"yerOcPTLOaQCMez0","meta":{"instanceId":"d6fb3ed84a4939aacdb5198e7bb4af78ef32a3cc8bc073855b5f3a110eb32876","templateCredsSetupCompleted":true},"name":"Analyze ad performance across Meta, Google and Microsoft with AI","tags":[],"nodes":[{"id":"86ede9b9-b627-4fa0-b6c2-5564d868f9dc","name":"Send a message","type":"n8n-nodes-base.gmail","position":[1584,0],"webhookId":"532fc219-dfd8-4c03-a3b1-95c80bd43adc","parameters":{"sendTo":"user@example.com","message":"={{ $json.html }}","options":{},"subject":"={{ $json.subject }}"},"credentials":{"gmailOAuth2":{"id":"credential-id","name":"Gmail OAuth2 API"}},"typeVersion":2.2},{"id":"b942bb9f-15e8-4d27-bab2-2d472796e8c0","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[32,-288],"parameters":{"color":7,"width":384,"height":128,"content":"## DATA FETCH & FORMAT\nReads campaign data from Google Sheet.\nFormats rows into a single text string for AI analysis.\nSetup: Add your Sheet ID in the Google Sheets node."},"typeVersion":1},{"id":"45c50895-30f4-4362-94f6-e526b23053a9","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[-336,176],"parameters":{"color":7,"width":304,"height":112,"content":"## TRIGGER\nRuns every Months 1st day automatically.\nChange schedule in the trigger node settings."},"typeVersion":1},{"id":"bf2e5bfb-ef1e-4304-8cfa-6e9b23ed68ae","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[1008,192],"parameters":{"color":7,"width":384,"content":"## AI ANALYSIS & EMAIL\nSends campaign data to Groq (Llama 3.3) for analysis.\nExtracts the report and emails it automatically.\nSetup: Add your Groq API key and Gmail credentials."},"typeVersion":1},{"id":"3dddcc48-d596-47e1-8791-ff871c55e3d8","name":"Read - Meta ads","type":"n8n-nodes-base.googleSheets","position":[160,16],"parameters":{"options":{},"sheetName":{"__rl":true,"mode":"list","value":2091689278,"cachedResultUrl":"https://docs.google.com/spreadsheets/d/1w9IAdOWFl2iSYQN_c-d0lFJTUsXm4-SCR9xj_vO2jv8/edit#gid=2091689278","cachedResultName":"Meta"},"documentId":{"__rl":true,"mode":"list","value":"1w9IAdOWFl2iSYQN_c-d0lFJTUsXm4-SCR9xj_vO2jv8","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1w9IAdOWFl2iSYQN_c-d0lFJTUsXm4-SCR9xj_vO2jv8/edit?usp=drivesdk","cachedResultName":"Campaign data"}},"credentials":{"googleSheetsOAuth2Api":{"id":"credential-id","name":"Google Sheets OAuth2 API"}},"typeVersion":4.7},{"id":"b35f5427-3c47-4437-b49b-e2c94a4ac1f1","name":"Read - Google ads","type":"n8n-nodes-base.googleSheets","position":[160,-144],"parameters":{"options":{},"sheetName":{"__rl":true,"mode":"list","value":"gid=0","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1w9IAdOWFl2iSYQN_c-d0lFJTUsXm4-SCR9xj_vO2jv8/edit#gid=0","cachedResultName":"Google"},"documentId":{"__rl":true,"mode":"list","value":"1w9IAdOWFl2iSYQN_c-d0lFJTUsXm4-SCR9xj_vO2jv8","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1w9IAdOWFl2iSYQN_c-d0lFJTUsXm4-SCR9xj_vO2jv8/edit?usp=drivesdk","cachedResultName":"Campaign data"}},"credentials":{"googleSheetsOAuth2Api":{"id":"credential-id","name":"Google Sheets OAuth2 API"}},"typeVersion":4.7},{"id":"b2c05241-11aa-4b49-a81f-aa75cdb83f42","name":"Read - Microsoft ads","type":"n8n-nodes-base.googleSheets","position":[160,192],"parameters":{"options":{},"sheetName":{"__rl":true,"mode":"list","value":1616843299,"cachedResultUrl":"https://docs.google.com/spreadsheets/d/1w9IAdOWFl2iSYQN_c-d0lFJTUsXm4-SCR9xj_vO2jv8/edit#gid=1616843299","cachedResultName":"Microsoft"},"documentId":{"__rl":true,"mode":"list","value":"1w9IAdOWFl2iSYQN_c-d0lFJTUsXm4-SCR9xj_vO2jv8","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1w9IAdOWFl2iSYQN_c-d0lFJTUsXm4-SCR9xj_vO2jv8/edit?usp=drivesdk","cachedResultName":"Campaign data"}},"credentials":{"googleSheetsOAuth2Api":{"id":"credential-id","name":"Google Sheets OAuth2 API"}},"typeVersion":4.7},{"id":"8e2659a4-6c44-428e-bb41-b8ebf2d6f22d","name":"Merge all platform","type":"n8n-nodes-base.merge","position":[416,0],"parameters":{"numberInputs":3},"typeVersion":3.2},{"id":"979db74e-e046-477c-a99d-73fec84f9648","name":"Calculate - KPIs & Build Prompt","type":"n8n-nodes-base.code","position":[640,16],"parameters":{"jsCode":"// ============================================================\n// Code Node 1: \"Calculate - KPIs & Build Prompt\"\n// Reads merged rows from Google / Meta / Microsoft tabs\n// Outputs: kpi object + groqPrompt string\n// ============================================================\n\nconst num = v => parseFloat(String(v).replace(/[,%$\\s]/g,'')) || 0;\n\nfunction detectPlatform(r) {\n if (r['Platform']) return r['Platform'];\n if (r['Campaign name'] !== undefined) return 'Meta';\n if (r['Campaign status'] !== undefined) return 'Google';\n if (r['Status'] !== undefined && r['Impr.'] !== undefined) return 'Microsoft';\n return null;\n}\n\nfunction normalise(r) {\n const p = detectPlatform(r);\n if (p === 'Google') return {\n platform:'Google', campaign:String(r['Campaign']||''),\n status:String(r['Campaign status']||''), type:String(r['Campaign type']||''),\n impressions:num(String(r['Impr.']||'').replace(/,/g,'')),\n clicks:num(r['Clicks']), spend:num(r['Cost']),\n conversions:num(r['Conversions']), roas:num(r['Conv. value / cost']),\n cpm:0, purchases:num(r['Conversions']), budget:num(r['Budget']),\n };\n if (p === 'Microsoft') return {\n platform:'Microsoft', campaign:String(r['Campaign']||''),\n status:String(r['Status']||''), type:String(r['Campaign Type']||''),\n impressions:num(String(r['Impr.']||'').replace(/,/g,'')),\n clicks:num(r['Clicks']), spend:num(r['Spend']),\n conversions:num(r['Conv.']), roas:0,\n cpm:0, purchases:num(r['Conv.']), budget:num(r['Budget']),\n };\n if (p === 'Meta') return {\n platform:'Meta', campaign:String(r['Campaign name']||''),\n status:String(r['Campaign delivery']||''), type:'Social',\n impressions:num(r['Impressions']), clicks:0,\n spend:num(r['Amount spent (USD)']),\n conversions:num(r['Results']), roas:num(r['Purchase ROAS (return on ad spend)']),\n cpm:num(r['CPM (cost per 1,000 impressions) (USD)']),\n purchases:num(r['Purchases']), budget:num(r['Ad set budget']),\n };\n return null;\n}\n\nfunction agg(data) {\n const impressions = data.reduce((s,r)=>s+r.impressions,0);\n const clicks = data.reduce((s,r)=>s+r.clicks,0);\n const spend = data.reduce((s,r)=>s+r.spend,0);\n const conversions = data.reduce((s,r)=>s+r.conversions,0);\n const purchases = data.reduce((s,r)=>s+r.purchases,0);\n return {\n impressions, clicks, spend:+spend.toFixed(2), conversions, purchases,\n ctr: impressions>0&&clicks>0 ? +((clicks/impressions)*100).toFixed(2) : 0,\n cpc: clicks>0 ? +(spend/clicks).toFixed(2) : 0,\n cpa: conversions>0 ? +(spend/conversions).toFixed(2) : 0,\n cpm: impressions>0 ? +((spend/impressions)*1000).toFixed(2) : 0,\n };\n}\n\nconst rows = items.map(i=>i.json).map(normalise).filter(Boolean);\nconst google = rows.filter(r=>r.platform==='Google');\nconst microsoft = rows.filter(r=>r.platform==='Microsoft');\nconst meta = rows.filter(r=>r.platform==='Meta' && r.spend>0);\nconst all = [...google, ...microsoft.filter(r=>r.spend>0), ...meta];\n\nconst tG = agg(google);\nconst tM = agg(microsoft.filter(r=>r.spend>0));\nconst tMeta = agg(meta);\nconst tAll = agg(all);\nconst totalSpend = tAll.spend || 1;\n\nconst bestMS = [...microsoft].filter(r=>r.conversions>0).sort((a,b)=>b.conversions-a.conversions)[0];\nconst worstMeta = [...meta].filter(r=>r.conversions===0&&r.spend>50).sort((a,b)=>b.spend-a.spend)[0];\nconst bestMeta = [...meta].filter(r=>r.roas>0).sort((a,b)=>b.roas-a.roas)[0];\nconst budgetPaused = microsoft.filter(r=>String(r.status).toLowerCase().includes('budget'));\n\nfunction campSummary(data) {\n return data.filter(r=>r.spend>0).map(r=>\n ` - ${r.campaign} | Spend:$${r.spend.toFixed(2)} | Impr:${r.impressions} | Conv:${r.conversions} | CPA:${r.conversions>0?'$'+(r.spend/r.conversions).toFixed(2):'N/A'} | ROAS:${r.roas>0?r.roas.toFixed(2)+'x':'N/A'}`\n ).join('\\n');\n}\n\nconst groqPrompt = `You are a senior digital marketing analyst. Analyze this February 2026 ad performance data for a health supplements brand (Biogetica) and provide expert insights.\n\nACCOUNT SUMMARY\nTotal Spend: $${tAll.spend} | Impressions: ${tAll.impressions.toLocaleString()} | Clicks: ${tAll.clicks} | Conversions: ${tAll.conversions} | Blended CPA: ${tAll.cpa>0?'$'+tAll.cpa:'N/A'}\n\nPLATFORM BREAKDOWN\nMeta: Spend $${tMeta.spend} (${((tMeta.spend/totalSpend)*100).toFixed(1)}%) | Impr: ${tMeta.impressions} | Conv: ${tMeta.conversions} | CPA: ${tMeta.cpa>0?'$'+tMeta.cpa:'N/A'} | CPM: $${tMeta.cpm}\nMicrosoft: Spend $${tM.spend} (${((tM.spend/totalSpend)*100).toFixed(1)}%) | Impr: ${tM.impressions} | Clicks: ${tM.clicks} | Conv: ${tM.conversions} | CPA: ${tM.cpa>0?'$'+tM.cpa:'N/A'}\nGoogle: Spend $${tG.spend} (${((tG.spend/totalSpend)*100).toFixed(1)}%) | Impr: ${tG.impressions} | Clicks: ${tG.clicks} | Conv: ${tG.conversions}\n\nMETA CAMPAIGNS\n${campSummary(meta)}\n\nMICROSOFT CAMPAIGNS\n${campSummary(microsoft)}\n\nGOOGLE CAMPAIGNS\n${campSummary(google)}\n\nKEY FLAGS\n- Google: 0 conversions across all campaigns ($${tG.spend} spent)\n- Budget-paused Microsoft: ${budgetPaused.map(r=>r.campaign).join(', ')||'None'}\n- Best Meta ROAS: ${bestMeta?bestMeta.campaign+' ('+bestMeta.roas.toFixed(2)+'x)':'N/A'}\n- Worst Meta waste: ${worstMeta?worstMeta.campaign+' ($'+worstMeta.spend.toFixed(2)+', 0 conv)':'None'}\n- Best Microsoft: ${bestMS?bestMS.campaign+' ('+bestMS.conversions+' conv, $'+(bestMS.spend/bestMS.conversions).toFixed(2)+' CPA)':'N/A'}\n\nProvide analysis in these exact sections. Use ONLY the data above — do not say you lack data:\n\n### EXECUTIVE SUMMARY\n2-3 sentences on overall account health and the single most important finding.\n\n### WHAT'S WORKING\n3 bullet points on top performers with exact numbers from the data above.\n\n### WHAT NEEDS FIXING\n3 bullet points on underperformers with exact numbers.\n\n### AI RECOMMENDATIONS\n5 prioritized actionable recommendations referencing actual campaign names and dollar amounts.\n\n### MARCH 2026 FOCUS\n3 bullet points on what to prioritize next month.`;\n\nreturn [{\n json: {\n kpi: { tG, tM, tMeta, tAll, totalSpend, bestMS, worstMeta, bestMeta,\n budgetPaused: budgetPaused.map(r=>r.campaign), google, microsoft, meta },\n groqPrompt\n }\n}];"},"typeVersion":2},{"id":"45673594-8f7b-4954-a437-804ee2a23348","name":"Build - HTML Report","type":"n8n-nodes-base.code","position":[1360,0],"parameters":{"jsCode":"// ============================================================\n// Code Node 2: \"Build - HTML Report\"\n// Reads kpi from Code1 + AI insights from Groq (merged item)\n// ============================================================\n\nconst num = v => parseFloat(String(v).replace(/[,%$\\s]/g,'')) || 0;\nconst fmt = v => Number(v).toLocaleString();\nconst usd = v => '$' + (+v).toFixed(2);\n\n// ── Pull data — Merge By Position puts Code1+Groq into items[0] ──\nconst j = items[0].json;\nconst kpi = j.kpi || {};\nconst tG = kpi.tG || {};\nconst tM = kpi.tM || {};\nconst tMeta = kpi.tMeta || {};\nconst tAll = kpi.tAll || {};\nconst totalSpend = kpi.totalSpend || 1;\nconst google = kpi.google || [];\nconst microsoft = kpi.microsoft || [];\nconst meta = kpi.meta || [];\nconst budgetPaused = kpi.budgetPaused || [];\nconst aiRaw = j.choices?.[0]?.message?.content || '';\n\n// ── Spend shares ──\nconst metaPct = ((( tMeta.spend||0)/totalSpend)*100).toFixed(1);\nconst msPct = (((tM.spend||0)/totalSpend)*100).toFixed(1);\nconst gPct = (((tG.spend||0)/totalSpend)*100).toFixed(1);\n\n// ── SVG: Spend donut ──\nfunction donut() {\n const data = [\n {l:'Meta', v:tMeta.spend||0, c:'#334155'},\n {l:'Microsoft', v:tM.spend||0, c:'#64748B'},\n {l:'Google', v:tG.spend||0, c:'#94A3B8'},\n ];\n const total = data.reduce((s,d)=>s+d.v,0)||1;\n const cx=75,cy=75,r=58,inn=32;\n let paths='',angle=-Math.PI/2;\n data.forEach(d=>{\n const a=(d.v/total)*2*Math.PI,end=angle+a;\n const x1=cx+r*Math.cos(angle),y1=cy+r*Math.sin(angle);\n const x2=cx+r*Math.cos(end), y2=cy+r*Math.sin(end);\n const i1=cx+inn*Math.cos(angle),j1=cy+inn*Math.sin(angle);\n const i2=cx+inn*Math.cos(end), j2=cy+inn*Math.sin(end);\n const lg=a>Math.PI?1:0;\n paths+=``;\n angle=end;\n });\n const legend=data.map((d,i)=>`\n \n ${d.l}\n $${d.v.toFixed(0)} · ${((d.v/total)*100).toFixed(1)}%`).join('');\n return `\n ${paths}\n $${total.toFixed(0)}\n ${legend}`;\n}\n\n// ── SVG: Conversions bar ──\nfunction convBars() {\n const data=[{l:'Meta',v:tMeta.conversions||0},{l:'Microsoft',v:tM.conversions||0},{l:'Google',v:tG.conversions||0}];\n const mx=Math.max(...data.map(d=>d.v),1);\n return `\n ${data.map((d,i)=>{\n const w=Math.round((d.v/mx)*160);\n return `${d.l}\n \n ${d.v}`;\n }).join('')}`;\n}\n\n// ── Table styles ──\nconst TH = 'padding:9px 12px;font-size:11px;font-weight:600;color:#fff;text-align:left;background:#1E293B;';\nconst THR = 'padding:9px 12px;font-size:11px;font-weight:600;color:#fff;text-align:right;background:#1E293B;';\nconst TD = 'padding:8px 12px;font-size:11px;color:#374151;border-bottom:1px solid #F1F5F9;';\nconst TDR = 'padding:8px 12px;font-size:11px;color:#374151;border-bottom:1px solid #F1F5F9;text-align:right;';\nconst TDF = 'padding:8px 12px;font-size:11px;font-weight:700;color:#0F172A;border-top:2px solid #E2E8F0;';\nconst TDFR= 'padding:8px 12px;font-size:11px;font-weight:700;color:#0F172A;border-top:2px solid #E2E8F0;text-align:right;';\n\nfunction dot(s){\n const ok=s==='active'||s==='Enabled';\n return ``;\n}\nfunction badge(txt,color){return `${txt}`;}\nfunction trim(s,n=42){return s.length>n?s.substring(0,n)+'…':s;}\n\nfunction metaRows(){\n return meta.map((r,i)=>{\n const bg=i%2===0?'#fff':'#F8FAFC';\n const cpa=r.conversions>0?usd((r.spend/r.conversions).toFixed(2)):'—';\n const roas=r.roas>0?r.roas.toFixed(2)+'x':'—';\n return `\n ${dot(r.status)}${trim(r.campaign)}\n ${usd(r.spend)}\n ${fmt(r.impressions)}\n ${r.cpm>0?usd(r.cpm.toFixed(2)):'—'}\n ${r.conversions||'—'}\n ${cpa}\n ${roas}`;\n }).join('')+`\n Total\n ${usd(tMeta.spend)}\n ${fmt(tMeta.impressions)}\n —\n ${tMeta.conversions}\n ${tMeta.cpa>0?usd(tMeta.cpa.toFixed(2)):'—'}\n —`;\n}\n\nfunction msRows(){\n return microsoft.map((r,i)=>{\n const bg=i%2===0?'#fff':'#F8FAFC';\n const paused=String(r.status).toLowerCase().includes('budget');\n const cpa=r.conversions>0?usd((r.spend/r.conversions).toFixed(2)):'—';\n return `\n ${dot(r.status)}${trim(r.campaign)}${paused?badge('BUDGET PAUSED','#94A3B8'):''}\n ${usd(r.spend)}\n ${fmt(r.impressions)}\n ${r.clicks||'—'}\n ${r.ctr||'—'}\n ${r.conversions||'—'}\n ${cpa}`;\n }).join('')+`\n Total\n ${usd(tM.spend)}\n ${fmt(tM.impressions)}\n ${fmt(tM.clicks)}\n —\n ${tM.conversions}\n ${tM.cpa>0?usd(tM.cpa.toFixed(2)):'—'}`;\n}\n\nfunction gRows(){\n return google.map((r,i)=>{\n const bg=i%2===0?'#fff':'#F8FAFC';\n return `\n ${dot(r.status)}${trim(r.campaign)}\n ${usd(r.spend)}\n ${fmt(r.impressions)}\n ${r.clicks||'—'}\n ${r.conversions||'—'}\n ${r.type||'—'}`;\n }).join('');\n}\n\n// ── Format AI insights ──\nfunction formatAI(text) {\n if(!text||text.length<20) return '

AI insights not available for this run.

';\n return text\n .replace(/### (.*)/g,'

$1

')\n .replace(/\\*\\*(.*?)\\*\\*/g,'$1')\n .replace(/^- (.*)/gm,'
•$1
')\n .replace(/\\n\\n/g,'
')\n .replace(/\\n/g,'');\n}\n\n// ── Section header ──\nfunction secH(title, sub=''){\n return `

${title}

${sub?`

${sub}

`:''}`;\n}\n\nconst now = new Date().toLocaleDateString('en-IN',{month:'long',year:'numeric'});\n\nconst html = `\n\n\n\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n \n \n \n
\n
Monthly Performance Report · February 2026
\n

Campaign Intelligence Report

\n

Meta · Microsoft · Google  |  Powered by Groq AI (Llama 3.3 70B)

\n 		\n
\n
${usd(tAll.spend)}
\n
Total Spend
\n
\n
\n
\n \n ${[\n [fmt(tAll.impressions),'Impressions'],\n [fmt(tAll.clicks),'Clicks'],\n [String(tAll.conversions),'Conversions'],\n [tAll.cpa>0?usd(tAll.cpa.toFixed(2)):'—','Avg. CPA'],\n [String(tAll.purchases),'Purchases'],\n ].map(([v,l],i)=>``).join('')}\n
\n
${v}
\n
${l}
\n
\n
\n ${secH('Performance Breakdown')}\n \n \n \n \n
\n
Spend Distribution
\n ${donut()}\n 		\n
Conversions by Platform
\n ${convBars()}\n
\n
\n ${secH('Platform Summary')}\n \n \n \n \n \n \n
PlatformSpendShareImpressionsClicksCPMConv.CPA
Meta${usd(tMeta.spend)}${metaPct}%${fmt(tMeta.impressions)}—${tMeta.cpm>0?usd(tMeta.cpm.toFixed(2)):'—'}${tMeta.conversions}${tMeta.cpa>0?usd(tMeta.cpa.toFixed(2)):'—'}
Microsoft${usd(tM.spend)}${msPct}%${fmt(tM.impressions)}${fmt(tM.clicks)}${tM.cpm>0?usd(tM.cpm.toFixed(2)):'—'}${tM.conversions}${tM.cpa>0?usd(tM.cpa.toFixed(2)):'—'}
Google${usd(tG.spend)}${gPct}%${fmt(tG.impressions)}${fmt(tG.clicks)}—${tG.conversions}—
Total${usd(tAll.spend)}100%${fmt(tAll.impressions)}${fmt(tAll.clicks)}—${tAll.conversions}${tAll.cpa>0?usd(tAll.cpa.toFixed(2)):'—'}
\n
\n ${secH('Meta Campaigns', `${meta.length} campaigns · February 2026`)}\n \n \n ${metaRows()}\n
CampaignSpendImpr.CPMConv.CPAROAS
\n
\n ${secH('Microsoft Campaigns', `${microsoft.length} campaigns · ${budgetPaused.length} budget-paused`)}\n \n \n ${msRows()}\n
CampaignSpendImpr.ClicksCTRConv.CPA
\n
\n ${secH('Google Campaigns', 'All campaigns returned 0 conversions — verify pixel setup')}\n \n \n ${gRows()}\n
CampaignSpendImpr.ClicksConv.Type
\n
\n ${secH('AI Analysis — Powered by Groq (Llama 3.3 70B)', 'Generated in real-time from your campaign data')}\n
\n ${formatAI(aiRaw)}\n
\n
\n

Generated automatically via n8n · Groq AI (Llama 3.3 70B) · ${now}

\n
\n`;\n\nconst subject = `Campaign Report — Feb 2026 | ${usd(tAll.spend)} Spend | ${tAll.conversions} Conv. | Meta ${metaPct}% / MS ${msPct}% / G ${gPct}%`;\nreturn [{ json: { html, subject } }];"},"typeVersion":2},{"id":"f8c0a857-1997-44df-97a5-68af0ed05330","name":"Merge - KPI + AI","type":"n8n-nodes-base.merge","position":[1152,0],"parameters":{"mode":"combine","options":{},"combineBy":"combineByPosition"},"typeVersion":3.2},{"id":"35e4e54c-f41d-4ad2-94d8-3970ead1577b","name":"Groq - Generate Insights","type":"n8n-nodes-base.httpRequest","position":[912,-128],"parameters":{"url":"https://api.groq.com/openai/v1/chat/completions","method":"POST","options":{},"jsonBody":"={{ { \"model\": \"llama-3.3-70b-versatile\", \"messages\": [{ \"role\": \"user\", \"content\": $json.groqPrompt }] } }}","sendBody":true,"sendHeaders":true,"specifyBody":"json","authentication":"genericCredentialType","genericAuthType":"httpHeaderAuth","headerParameters":{"parameters":[{"name":"Content-Type","value":"application/json"}]}},"credentials":{"httpHeaderAuth":{"id":"credential-id","name":"Header Auth account"}},"typeVersion":4.4},{"id":"793a889a-8fdd-4367-beff-86b2f28b03c9","name":"Trigger - Monthly Schedule","type":"n8n-nodes-base.scheduleTrigger","position":[-224,16],"parameters":{"rule":{"interval":[{"field":"months","triggerAtHour":9},{}]}},"typeVersion":1.3},{"id":"2e1deefb-4555-416e-8c48-b792b8d31d2f","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[-880,-272],"parameters":{"width":464,"height":544,"content":"## How it works\nThis workflow automatically generates a detailed AI-powered \ncampaign performance report across Meta, Google and Microsoft \nAds and emails it to your team every month.\n\nIt reads campaign data from three tabs in a Google Sheet \n(Google, Meta, Microsoft), merges all rows, and passes them \nto a Code node that calculates KPIs and builds a structured \nprompt. Groq AI (Llama 3.3 70B) then analyzes the data and \ngenerates expert insights. A second Code node combines the \nKPIs and AI analysis into a full HTML email with platform \ntables, charts, benchmarks and recommendations — sent \nautomatically via Gmail.\n\n## Setup steps\n1. Create a Google Sheet with 3 tabs: Google, Meta, Microsoft\n2. Paste your monthly ad exports into the matching tab\n3. Connect your Google account in the 3 Sheets nodes and \n select the correct tab in each\n4. Add your Groq API key in the HTTP Request node header\n5. Connect your Gmail account in the Send node and set your \n recipient email\n6. Activate — the workflow runs automatically on schedule"},"typeVersion":1}],"active":false,"pinData":{},"settings":{"binaryMode":"separate","availableInMCP":false,"executionOrder":"v1"},"versionId":"5968e428-ca39-4618-99b9-54a5a18b8aa2","connections":{"Read - Meta ads":{"main":[[{"node":"Merge all platform","type":"main","index":1}]]},"Merge - KPI + AI":{"main":[[{"node":"Build - HTML Report","type":"main","index":0}]]},"Read - Google ads":{"main":[[{"node":"Merge all platform","type":"main","index":0}]]},"Merge all platform":{"main":[[{"node":"Calculate - KPIs & Build Prompt","type":"main","index":0}]]},"Build - HTML Report":{"main":[[{"node":"Send a message","type":"main","index":0}]]},"Read - Microsoft ads":{"main":[[{"node":"Merge all platform","type":"main","index":2}]]},"Groq - Generate Insights":{"main":[[{"node":"Merge - KPI + AI","type":"main","index":0}]]},"Trigger - Monthly Schedule":{"main":[[{"node":"Read - Google ads","type":"main","index":0},{"node":"Read - Meta ads","type":"main","index":0},{"node":"Read - Microsoft ads","type":"main","index":0}]]},"Calculate - KPIs & Build Prompt":{"main":[[{"node":"Groq - Generate Insights","type":"main","index":0},{"node":"Merge - KPI + AI","type":"main","index":1}]]}}},"lastUpdatedBy":1,"workflowInfo":{"nodeCount":14,"nodeTypes":{"n8n-nodes-base.code":{"count":2},"n8n-nodes-base.gmail":{"count":1},"n8n-nodes-base.merge":{"count":2},"n8n-nodes-base.stickyNote":{"count":4},"n8n-nodes-base.httpRequest":{"count":1},"n8n-nodes-base.googleSheets":{"count":3},"n8n-nodes-base.scheduleTrigger":{"count":1}}},"status":"published","readyToDemo":null,"user":{"name":"Ayush Singh","username":"ayushsingh0304","bio":"","verified":false,"links":[],"avatar":"https://gravatar.com/avatar/aca77699b897ae2607d5e531b0b6839fbb14c57f8ca49605cd31647cba2006e6?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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