Análisis automático mensual del rendimiento de Google Ads usando GPT-4o, Sheets y Slack

• •Bot Token de Slack o URL de Webhook
• •Pueden requerirse credenciales de autenticación para la API de destino
• •Credenciales de API de Google Sheets
• •Clave de API de OpenAI

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      "name": "Activador Mensual",
      "type": "n8n-nodes-base.scheduleTrigger",
      "notes": "Runs 1st of every month to analyze last 30 days",
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      "parameters": {
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              "field": "cronExpression",
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      "name": "Obtener Datos de Rendimiento",
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      "notes": "Gets 30-day performance data via GAQL. Min 100 impressions for statistical validity.",
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      "parameters": {
        "url": "=https://googleads.googleapis.com/{{$env.GOOGLE_ADS_API_VERSION}}/customers/{{$env.GOOGLE_ADS_CUSTOMER_ID}}/googleAds:search",
        "method": "POST",
        "options": {},
        "jsonBody": "={\"query\": \"SELECT ad_group_ad.ad.id, ad_group_ad.ad.responsive_search_ad.headlines, ad_group.name, metrics.impressions, metrics.clicks, metrics.ctr FROM ad_group_ad WHERE segments.date DURING LAST_30_DAYS AND metrics.impressions > 100 ORDER BY metrics.clicks DESC LIMIT 1000\"}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "predefinedCredentialType",
        "nodeCredentialType": "googleAdsOAuth2Api"
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      "credentials": {
        "googleAdsOAuth2Api": {
          "id": "x3Atp2GWGOjlhMz9",
          "name": "Google Ads account"
        }
      },
      "typeVersion": 4.2
    },
    {
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      "name": "Preparar Datos de Rendimiento",
      "type": "n8n-nodes-base.code",
      "notes": "Analyzes performance data, groups by category/theme, calculates CTRs, formats for AI",
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      "parameters": {
        "jsCode": "// Format performance data for AI analysis\n\nconst response = $input.first().json;\nconst results = response.results || [];\n\n// Group by category (ad group) and extract headlines\nconst categoryData = {};\nconst themeData = {};\n\nresults.forEach(result => {\n  const category = result.adGroup?.name || 'Unknown';\n  const headlines = result.adGroupAd?.ad?.responsiveSearchAd?.headlines || [];\n  const headline = headlines[0]?.text || '';\n  const ctr = parseFloat(result.metrics?.ctr || 0);\n  const impressions = parseInt(result.metrics?.impressions || 0);\n  const clicks = parseInt(result.metrics?.clicks || 0);\n  \n  if (impressions < 100) return;\n  \n  // Aggregate by category\n  if (!categoryData[category]) {\n    categoryData[category] = {impressions: 0, clicks: 0, ads: []};\n  }\n  categoryData[category].impressions += impressions;\n  categoryData[category].clicks += clicks;\n  categoryData[category].ads.push({headline, ctr, impressions, clicks});\n  \n  // Track themes\n  const themes = ['vegan', 'organic', 'natural', 'premium', 'sale', 'new', 'free shipping'];\n  themes.forEach(theme => {\n    if (headline.toLowerCase().includes(theme)) {\n      if (!themeData[theme]) {\n        themeData[theme] = {impressions: 0, clicks: 0, count: 0};\n      }\n      themeData[theme].impressions += impressions;\n      themeData[theme].clicks += clicks;\n      themeData[theme].count += 1;\n    }\n  });\n});\n\n// Calculate CTRs\nconst categoryAnalysis = Object.entries(categoryData).map(([cat, data]) => ({\n  category: cat,\n  ctr: ((data.clicks / data.impressions) * 100).toFixed(2),\n  total_impressions: data.impressions,\n  total_clicks: data.clicks,\n  ad_count: data.ads.length\n})).sort((a, b) => parseFloat(b.ctr) - parseFloat(a.ctr));\n\nconst themeAnalysis = Object.entries(themeData).map(([theme, data]) => ({\n  theme,\n  ctr: ((data.clicks / data.impressions) * 100).toFixed(2),\n  total_impressions: data.impressions,\n  ad_count: data.count\n})).sort((a, b) => parseFloat(b.ctr) - parseFloat(a.ctr));\n\nreturn {\n  total_ads_analyzed: results.length,\n  date_range: 'Last 30 days',\n  top_categories: categoryAnalysis.slice(0, 5),\n  bottom_categories: categoryAnalysis.slice(-5),\n  top_themes: themeAnalysis.slice(0, 5),\n  bottom_themes: themeAnalysis.slice(-5),\n  analysis_prompt: `Analyze this Google Ads performance data and provide actionable insights:\\n\\nTop Performing Categories:\\n${JSON.stringify(categoryAnalysis.slice(0, 5), null, 2)}\\n\\nBottom Performing Categories:\\n${JSON.stringify(categoryAnalysis.slice(-5), null, 2)}\\n\\nTop Performing Themes:\\n${JSON.stringify(themeAnalysis.slice(0, 5), null, 2)}\\n\\nBottom Performing Themes:\\n${JSON.stringify(themeAnalysis.slice(-5), null, 2)}\\n\\nProvide 3-5 specific recommendations for improving ad copy. Include estimated impact percentages. Format as: {'recommendations': [{'action': '...', 'expected_impact': '...', 'priority': 'HIGH/MEDIUM/LOW'}]}`\n};"
      },
      "typeVersion": 2
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      "notes": "n8n AI Agent analyzes patterns and provides insights",
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      ],
      "parameters": {
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      "notes": "Lower temperature (0.2) for analytical tasks",
      "position": [
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      ],
      "parameters": {
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        "options": {
          "maxTokens": 2000,
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        }
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      "credentials": {
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          "name": "OpenAi Arvancloud"
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      "typeVersion": 1
    },
    {
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      "name": "Generar Informe",
      "type": "n8n-nodes-base.code",
      "notes": "Creates formatted report with AI insights",
      "position": [
        1260,
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      ],
      "parameters": {
        "jsCode": "// Parse AI recommendations and create report\n\nconst aiOutput = $input.first().json.output;\nconst performanceData = $node['Prepare Performance Data'].json;\n\n// Parse JSON from AI\nlet recommendations;\ntry {\n  const jsonMatch = aiOutput.match(/```json\\s*([\\s\\S]*?)```/) || aiOutput.match(/{[\\s\\S]*}/);\n  recommendations = JSON.parse(jsonMatch ? jsonMatch[1] || jsonMatch[0] : aiOutput);\n} catch (e) {\n  recommendations = {recommendations: [{action: aiOutput, priority: 'HIGH'}]};\n}\n\nconst report = `# 30-Day Performance Analysis Report\n\n## Executive Summary\nAnalyzed: ${performanceData.total_ads_analyzed} ads\nPeriod: ${performanceData.date_range}\nDate: ${new Date().toISOString().split('T')[0]}\n\n## Top Performing Categories\n${performanceData.top_categories.map(c => `- ${c.category}: ${c.ctr}% CTR (${c.ad_count} ads)`).join('\\n')}\n\n## Top Performing Themes\n${performanceData.top_themes.map(t => `- \"${t.theme}\" messaging: ${t.ctr}% CTR (${t.ad_count} ads)`).join('\\n')}\n\n## AI-Powered Recommendations\n${recommendations.recommendations?.map((r, i) => `${i+1}. [${r.priority}] ${r.action}\\n   Expected Impact: ${r.expected_impact || 'TBD'}`).join('\\n\\n')}\n\n## Next Steps\n1. Update ad copy to emphasize top-performing themes\n2. A/B test recommendations\n3. Review again in 30 days\n\n---\nGenerated by n8n AI Agent + OpenAI\n`;\n\nreturn {\n  report_markdown: report,\n  recommendations: recommendations.recommendations || [],\n  top_themes: performanceData.top_themes,\n  generated_at: new Date().toISOString()\n};"
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      "name": "Guardar Informe en Sheets",
      "type": "n8n-nodes-base.googleSheets",
      "notes": "Archives report in Google Sheets",
      "position": [
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      ],
      "parameters": {
        "options": {},
        "sheetName": {
          "__rl": true,
          "mode": "name",
          "value": "Performance Reports"
        },
        "documentId": {
          "__rl": true,
          "mode": "id",
          "value": "={{$env.GOOGLE_SHEET_ID}}"
        }
      },
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      "name": "Enviar Informe",
      "type": "n8n-nodes-base.slack",
      "notes": "Sends report to team via Slack",
      "position": [
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      ],
      "webhookId": "cb69a0fc-d86c-4011-b4f8-0c8435b8f57b",
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        "height": 220,
        "content": "## 🟨 1 “Monthly Trigger”\n\n🕓 Runs every month\nAutomatically starts on the 1st of each month to analyze the last 30 days of Google Ads performance."
      },
      "typeVersion": 1
    },
    {
      "id": "7175f013-792a-4e70-80d3-035ec5cd485c",
      "name": "Nota Adhesiva1",
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      "position": [
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      "parameters": {
        "width": 360,
        "height": 220,
        "content": "## 🟨 2 “Get Performance Data”\n\n📊 Fetches ad metrics\nQueries Google Ads API for CTR, clicks, and impressions using GAQL.\nFilters out ads with fewer than 100 impressions for accurate analysis."
      },
      "typeVersion": 1
    },
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      "position": [
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      "parameters": {
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        "height": 200,
        "content": "## 🟨 3 “Prepare Performance Data”\n\n🧮 Processes raw metrics\nGroups ads by category and common themes (e.g., “sale,” “free shipping”).\nCalculates average CTRs and builds a summary prompt for AI analysis."
      },
      "typeVersion": 1
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      "position": [
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      "parameters": {
        "width": 360,
        "height": 220,
        "content": "## 🟨 4 “AI Agent - Analyze Performance”\n\n🤖 AI insight generation\nSends the summary data to GPT-4o for analysis.\nThe AI recommends optimizations and highlights top-performing messaging."
      },
      "typeVersion": 1
    },
    {
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      "position": [
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      "parameters": {
        "width": 420,
        "height": 200,
        "content": "## 🟨 5 “Generate Report”\n\n🧾 Creates readable summary\nConverts AI output into a formatted markdown report.\nIncludes actionable recommendations and key performance stats."
      },
      "typeVersion": 1
    }
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