Google Ads Campaign Monitor & Optimization

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

{
  "nodes": [
    {
      "id": "97e85725-b387-480e-a9d1-8066a5aef2de",
      "name": "Schedule Daily Check",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        -960,
        240
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "hours",
              "hoursInterval": 24
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "ac8ed47a-01cd-46b9-aff3-6fb6297f0b33",
      "name": "Fetch Google Ads Data",
      "type": "n8n-nodes-base.googleAds",
      "position": [
        -736,
        240
      ],
      "parameters": {
        "requestOptions": {},
        "additionalOptions": {}
      },
      "typeVersion": 1
    },
    {
      "id": "ae7508bf-4292-4db2-93ac-be1af7bf73d0",
      "name": "AI Performance Analysis",
      "type": "n8n-nodes-base.code",
      "position": [
        -512,
        240
      ],
      "parameters": {
        "jsCode": "// AI-powered campaign performance analysis\nconst items = $input.all();\nconst analyzedItems = [];\n\nfor (const item of items) {\n  const data = item.json;\n  let performanceScore = 0;\n  let insights = [];\n  let recommendations = [];\n  let alertLevel = 'normal';\n  \n  // Extract metrics\n  const clicks = data.metrics?.clicks || 0;\n  const impressions = data.metrics?.impressions || 0;\n  const cost = (data.metrics?.cost_micros || 0) / 1000000;\n  const conversions = data.metrics?.conversions || 0;\n  const ctr = impressions > 0 ? (clicks / impressions) * 100 : 0;\n  const conversionRate = clicks > 0 ? (conversions / clicks) * 100 : 0;\n  const costPerConversion = conversions > 0 ? cost / conversions : 0;\n  const avgCpc = clicks > 0 ? cost / clicks : 0;\n  \n  // CTR Analysis (Click-Through Rate)\n  if (ctr >= 5) {\n    performanceScore += 30;\n    insights.push(`Excellent CTR: ${ctr.toFixed(2)}% (+30 points)`);\n  } else if (ctr >= 3) {\n    performanceScore += 20;\n    insights.push(`Good CTR: ${ctr.toFixed(2)}% (+20 points)`);\n  } else if (ctr >= 1.5) {\n    performanceScore += 10;\n    insights.push(`Average CTR: ${ctr.toFixed(2)}% (+10 points)`);\n    recommendations.push('Consider A/B testing ad copy to improve CTR');\n  } else {\n    insights.push(`Low CTR: ${ctr.toFixed(2)}% (0 points)`);\n    recommendations.push('URGENT: Review ad relevance and targeting');\n    alertLevel = 'warning';\n  }\n  \n  // Conversion Rate Analysis\n  if (conversionRate >= 10) {\n    performanceScore += 35;\n    insights.push(`Outstanding conversion rate: ${conversionRate.toFixed(2)}% (+35 points)`);\n  } else if (conversionRate >= 5) {\n    performanceScore += 25;\n    insights.push(`Strong conversion rate: ${conversionRate.toFixed(2)}% (+25 points)`);\n  } else if (conversionRate >= 2) {\n    performanceScore += 15;\n    insights.push(`Moderate conversion rate: ${conversionRate.toFixed(2)}% (+15 points)`);\n    recommendations.push('Optimize landing pages for better conversions');\n  } else {\n    insights.push(`Low conversion rate: ${conversionRate.toFixed(2)}% (0 points)`);\n    recommendations.push('CRITICAL: Review landing page experience and targeting');\n    alertLevel = 'critical';\n  }\n  \n  // Cost Efficiency Analysis\n  if (costPerConversion > 0) {\n    if (costPerConversion <= 25) {\n      performanceScore += 25;\n      insights.push(`Excellent cost per conversion: $${costPerConversion.toFixed(2)} (+25 points)`);\n    } else if (costPerConversion <= 50) {\n      performanceScore += 15;\n      insights.push(`Good cost per conversion: $${costPerConversion.toFixed(2)} (+15 points)`);\n    } else if (costPerConversion <= 100) {\n      performanceScore += 8;\n      insights.push(`Fair cost per conversion: $${costPerConversion.toFixed(2)} (+8 points)`);\n      recommendations.push('Look for ways to reduce cost per conversion');\n    } else {\n      insights.push(`High cost per conversion: $${costPerConversion.toFixed(2)} (0 points)`);\n      recommendations.push('URGENT: Review bid strategy and audience targeting');\n      alertLevel = alertLevel === 'critical' ? 'critical' : 'warning';\n    }\n  }\n  \n  // Volume Analysis\n  if (clicks >= 1000) {\n    performanceScore += 10;\n    insights.push(`High traffic volume: ${clicks} clicks (+10 points)`);\n  } else if (clicks >= 500) {\n    performanceScore += 5;\n    insights.push(`Good traffic volume: ${clicks} clicks (+5 points)`);\n  } else if (clicks < 100) {\n    insights.push(`Low traffic volume: ${clicks} clicks (0 points)`);\n    recommendations.push('Consider increasing budget or expanding targeting');\n  }\n  \n  // Determine performance tier\n  let performanceTier = 'Underperforming';\n  if (performanceScore >= 75) {\n    performanceTier = 'Excellent';\n  } else if (performanceScore >= 55) {\n    performanceTier = 'Good';\n  } else if (performanceScore >= 35) {\n    performanceTier = 'Fair';\n  }\n  \n  // Add strategic recommendations\n  if (performanceTier === 'Excellent') {\n    recommendations.push('Scale this campaign - increase budget by 20-30%');\n    recommendations.push('Use this as a template for new campaigns');\n  } else if (performanceTier === 'Good') {\n    recommendations.push('Test incremental budget increases');\n    recommendations.push('Identify top-performing ad groups to scale');\n  }\n  \n  analyzedItems.push({\n    json: {\n      ...data,\n      campaignId: data.campaign?.id,\n      campaignName: data.campaign?.name,\n      campaignStatus: data.campaign?.status,\n      performanceScore: performanceScore,\n      performanceTier: performanceTier,\n      alertLevel: alertLevel,\n      insights: insights,\n      recommendations: recommendations,\n      metrics: {\n        clicks: clicks,\n        impressions: impressions,\n        cost: cost.toFixed(2),\n        conversions: conversions,\n        ctr: ctr.toFixed(2),\n        conversionRate: conversionRate.toFixed(2),\n        costPerConversion: costPerConversion.toFixed(2),\n        avgCpc: avgCpc.toFixed(2)\n      },\n      analyzedAt: new Date().toISOString()\n    }\n  });\n}\n\nreturn analyzedItems;"
      },
      "typeVersion": 2
    },
    {
      "id": "cc1a1556-0544-4588-8259-b41891aae4fd",
      "name": "Route by Performance",
      "type": "n8n-nodes-base.if",
      "position": [
        -288,
        240
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "leftValue": "",
            "caseSensitive": false,
            "typeValidation": "strict"
          },
          "combinator": "or",
          "conditions": [
            {
              "id": "excellent",
              "operator": {
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.performanceTier }}",
              "rightValue": "Excellent"
            },
            {
              "id": "good",
              "operator": {
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.performanceTier }}",
              "rightValue": "Good"
            }
          ]
        }
      },
      "typeVersion": 2
    },
    {
      "id": "0be284fc-c850-4e6c-921c-17507e3bfd38",
      "name": "Update Campaign Dashboard",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        160,
        48
      ],
      "parameters": {
        "columns": {
          "value": {
            "CPC": "${{ $json.metrics.avgCpc }}",
            "CTR": "={{ $json.metrics.ctr }}%",
            "Cost": "={{ $json.metrics.cost }}",
            "Date": "={{ $now.toFormat('yyyy-MM-dd') }}",
            "Tier": "={{ $json.performanceTier }}",
            "Score": "={{ $json.performanceScore }}",
            "Clicks": "={{ $json.metrics.clicks }}",
            "Status": "={{ $json.campaignStatus }}",
            "Campaign": "={{ $json.campaignName }}",
            "Conv Rate": "={{ $json.metrics.conversionRate }}%",
            "Cost/Conv": "${{ $json.metrics.costPerConversion }}",
            "Conversions": "={{ $json.metrics.conversions }}",
            "Impressions": "={{ $json.metrics.impressions }}"
          },
          "mappingMode": "defineBelow"
        },
        "options": {},
        "operation": "appendOrUpdate",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultName": "Daily Performance"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "your-dashboard-spreadsheet-id",
          "cachedResultName": "PPC Performance Dashboard"
        }
      },
      "typeVersion": 4.4
    },
    {
      "id": "e92b8a04-20a2-431a-9662-1365a87657ec",
      "name": "Log All Campaigns",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        -64,
        432
      ],
      "parameters": {
        "columns": {
          "value": {
            "Cost": "${{ $json.metrics.cost }}",
            "Tier": "={{ $json.performanceTier }}",
            "Score": "={{ $json.performanceScore }}",
            "Campaign": "={{ $json.campaignName }}",
            "Cost/Conv": "${{ $json.metrics.costPerConversion }}",
            "Timestamp": "={{ $now.toISO() }}",
            "Alert Level": "={{ $json.alertLevel }}",
            "Conversions": "={{ $json.metrics.conversions }}"
          },
          "mappingMode": "defineBelow"
        },
        "options": {},
        "operation": "appendOrUpdate",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=1",
          "cachedResultName": "Campaign Log"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "your-dashboard-spreadsheet-id",
          "cachedResultName": "PPC Performance Dashboard"
        }
      },
      "typeVersion": 4.4
    },
    {
      "id": "c47437f1-c24f-41ae-8a78-cfa9afa73f86",
      "name": "Alert: Scale Opportunity",
      "type": "n8n-nodes-base.slack",
      "position": [
        -64,
        -96
      ],
      "parameters": {
        "text": "\ud83d\ude80 *SCALE OPPORTUNITY DETECTED*\n\n*Campaign:* {{ $json.campaignName }}\n*Performance Score:* {{ $json.performanceScore }}/100\n*Tier:* {{ $json.performanceTier }}\n\n*Key Metrics:*\n\u2022 Conversions: {{ $json.metrics.conversions }}\n\u2022 Conversion Rate: {{ $json.metrics.conversionRate }}%\n\u2022 Cost/Conversion: ${{ $json.metrics.costPerConversion }}\n\u2022 CTR: {{ $json.metrics.ctr }}%\n\u2022 Total Spend: ${{ $json.metrics.cost }}\n\n*Performance Insights:*\n{{ $json.insights.join('\\n') }}\n\n*\ud83d\udca1 Recommendations:*\n{{ $json.recommendations.join('\\n') }}\n\n_Action: Consider scaling this campaign!_",
        "otherOptions": {}
      },
      "typeVersion": 2.1
    },
    {
      "id": "776c44d4-1e01-42e4-b42b-163e1d1cfa73",
      "name": "Generate Action Plan",
      "type": "n8n-nodes-base.code",
      "position": [
        -64,
        240
      ],
      "parameters": {
        "jsCode": "// Generate detailed action plan based on performance\nconst items = $input.all();\nconst actionPlanItems = [];\n\nfor (const item of items) {\n  const data = item.json;\n  const tier = data.performanceTier || 'Fair';\n  const campaignName = data.campaignName || 'Campaign';\n  const alertLevel = data.alertLevel || 'normal';\n  \n  let emailSubject = '';\n  let emailBody = '';\n  let priority = 'Medium';\n  \n  if (tier === 'Excellent' || tier === 'Good') {\n    priority = 'High';\n    emailSubject = `\u2705 ${campaignName}: Scaling Opportunity Detected`;\n    emailBody = `Hi PPC Team,\n\nGreat news! Your campaign \"${campaignName}\" is performing exceptionally well.\n\n\ud83d\udcca PERFORMANCE SUMMARY\n\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\nPerformance Score: ${data.performanceScore}/100\nPerformance Tier: ${tier}\nDaily Spend: $${data.metrics.cost}\nConversions: ${data.metrics.conversions}\nConversion Rate: ${data.metrics.conversionRate}%\nCost per Conversion: $${data.metrics.costPerConversion}\n\n\ud83d\udca1 KEY INSIGHTS\n\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\n${data.insights.map((insight, i) => `${i + 1}. ${insight}`).join('\\n')}\n\n\ud83c\udfaf RECOMMENDED ACTIONS\n\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\n${data.recommendations.map((rec, i) => `${i + 1}. ${rec}`).join('\\n')}\n\n\ud83d\udcc8 SCALING STRATEGY\n\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\n\u2022 Increase daily budget by 20-30%\n\u2022 Monitor performance closely for next 3-5 days\n\u2022 If metrics hold, continue scaling gradually\n\u2022 Consider duplicating successful ad groups\n\u2022 Test expansion to similar audiences\n\nThis campaign is ready to scale. Let's capitalize on this momentum!\n\nBest,\nAutomated PPC Intelligence System`;\n  } else if (alertLevel === 'critical' || alertLevel === 'warning') {\n    priority = 'Urgent';\n    emailSubject = `\u26a0\ufe0f ${campaignName}: Performance Issues Detected`;\n    emailBody = `Hi PPC Team,\n\n\u26a0\ufe0f ATTENTION REQUIRED\n\nYour campaign \"${campaignName}\" requires immediate attention due to performance concerns.\n\n\ud83d\udcca PERFORMANCE SUMMARY\n\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\nPerformance Score: ${data.performanceScore}/100\nPerformance Tier: ${tier}\nAlert Level: ${alertLevel.toUpperCase()}\nDaily Spend: $${data.metrics.cost}\nConversions: ${data.metrics.conversions}\nConversion Rate: ${data.metrics.conversionRate}%\nCost per Conversion: $${data.metrics.costPerConversion}\n\n\u26a0\ufe0f IDENTIFIED ISSUES\n\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\n${data.insights.map((insight, i) => `${i + 1}. ${insight}`).join('\\n')}\n\n\ud83d\udd27 REQUIRED ACTIONS\n\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\n${data.recommendations.map((rec, i) => `${i + 1}. ${rec}`).join('\\n')}\n\n\ud83d\udea8 IMMEDIATE NEXT STEPS\n\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\n1. Review campaign settings and targeting\n2. Analyze recent changes that may have impacted performance\n3. Check landing page experience and load times\n4. Review competitor activity\n5. Consider pausing low-performing ad groups\n6. Test new ad variations\n\nPlease address these issues within 24 hours to prevent budget waste.\n\nBest,\nAutomated PPC Intelligence System`;\n  } else {\n    emailSubject = `\ud83d\udcca ${campaignName}: Daily Performance Report`;\n    emailBody = `Hi PPC Team,\n\nHere's your daily performance summary for \"${campaignName}\".\n\n\ud83d\udcca PERFORMANCE SUMMARY\n\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\nPerformance Score: ${data.performanceScore}/100\nPerformance Tier: ${tier}\nDaily Spend: $${data.metrics.cost}\nConversions: ${data.metrics.conversions}\nConversion Rate: ${data.metrics.conversionRate}%\nCost per Conversion: $${data.metrics.costPerConversion}\n\n\ud83d\udca1 INSIGHTS\n\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\n${data.insights.map((insight, i) => `${i + 1}. ${insight}`).join('\\n')}\n\n\ud83d\udccb RECOMMENDATIONS\n\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\n${data.recommendations.map((rec, i) => `${i + 1}. ${rec}`).join('\\n')}\n\nContinue monitoring and optimizing for best results.\n\nBest,\nAutomated PPC Intelligence System`;\n  }\n  \n  actionPlanItems.push({\n    json: {\n      ...data,\n      emailSubject: emailSubject,\n      emailBody: emailBody,\n      priority: priority,\n      actionRequired: alertLevel === 'critical' || alertLevel === 'warning',\n      scaleRecommended: tier === 'Excellent' || tier === 'Good'\n    }\n  });\n}\n\nreturn actionPlanItems;"
      },
      "typeVersion": 2
    },
    {
      "id": "b2b2389c-05b5-49c2-824a-50817acf150e",
      "name": "Email Performance Report",
      "type": "n8n-nodes-base.emailSend",
      "position": [
        160,
        240
      ],
      "parameters": {
        "options": {
          "replyTo": "user@example.com",
          "allowUnauthorizedCerts": false
        },
        "subject": "={{ $json.emailSubject }}",
        "toEmail": "user@example.com",
        "fromEmail": "user@example.com"
      },
      "typeVersion": 2.1
    },
    {
      "id": "65a1623b-f9a9-415d-849a-42f779c3a766",
      "name": "Alert: Issues Detected",
      "type": "n8n-nodes-base.slack",
      "position": [
        -64,
        624
      ],
      "parameters": {
        "text": "\u26a0\ufe0f *PERFORMANCE ALERT*\n\n*Campaign:* {{ $json.campaignName }}\n*Alert Level:* {{ $json.alertLevel }}\n*Performance Score:* {{ $json.performanceScore }}/100\n*Tier:* {{ $json.performanceTier }}\n\n*Current Metrics:*\n\u2022 Cost: ${{ $json.metrics.cost }}\n\u2022 Conversions: {{ $json.metrics.conversions }}\n\u2022 Cost/Conversion: ${{ $json.metrics.costPerConversion }}\n\u2022 Conversion Rate: {{ $json.metrics.conversionRate }}%\n\n*\u26a0\ufe0f Issues Identified:*\n{{ $json.insights.join('\\n') }}\n\n_Action Required: Review and optimize within 24 hours_",
        "otherOptions": {}
      },
      "typeVersion": 2.1
    },
    {
      "id": "53086c74-d3f7-4761-91f1-706dd04aeda7",
      "name": "Generate Daily Summary",
      "type": "n8n-nodes-base.set",
      "position": [
        384,
        144
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "total-campaigns",
              "name": "totalCampaigns",
              "type": "number",
              "value": "={{ $input.all().length }}"
            },
            {
              "id": "excellent-count",
              "name": "excellentCampaigns",
              "type": "number",
              "value": "={{ $input.all().filter(item => item.json.performanceTier === 'Excellent').length }}"
            },
            {
              "id": "good-count",
              "name": "goodCampaigns",
              "type": "number",
              "value": "={{ $input.all().filter(item => item.json.performanceTier === 'Good').length }}"
            },
            {
              "id": "fair-count",
              "name": "fairCampaigns",
              "type": "number",
              "value": "={{ $input.all().filter(item => item.json.performanceTier === 'Fair').length }}"
            },
            {
              "id": "under-count",
              "name": "underperformingCampaigns",
              "type": "number",
              "value": "={{ $input.all().filter(item => item.json.performanceTier === 'Underperforming').length }}"
            },
            {
              "id": "total-spend",
              "name": "totalSpend",
              "type": "string",
              "value": "=${{ $input.all().reduce((sum, item) => sum + parseFloat(item.json.metrics.cost || 0), 0).toFixed(2) }}"
            },
            {
              "id": "total-conversions",
              "name": "totalConversions",
              "type": "number",
              "value": "={{ $input.all().reduce((sum, item) => sum + parseInt(item.json.metrics.conversions || 0), 0) }}"
            },
            {
              "id": "summary-text",
              "name": "dailySummary",
              "type": "string",
              "value": "\ud83d\udcca Daily PPC Performance Summary\n\n{{ $('Generate Daily Summary').item.json.totalCampaigns }} campaigns analyzed:\n\u2022 {{ $('Generate Daily Summary').item.json.excellentCampaigns }} Excellent \ud83d\ude80\n\u2022 {{ $('Generate Daily Summary').item.json.goodCampaigns }} Good \u2705\n\u2022 {{ $('Generate Daily Summary').item.json.fairCampaigns }} Fair \u26a0\ufe0f\n\u2022 {{ $('Generate Daily Summary').item.json.underperformingCampaigns }} Underperforming \ud83d\udd34\n\nTotal Spend: ${{ $('Generate Daily Summary').item.json.totalSpend }}\nTotal Conversions: {{ $('Generate Daily Summary').item.json.totalConversions }}"
            }
          ]
        }
      },
      "typeVersion": 3.3
    },
    {
      "id": "7936c950-f1d7-4f1a-9ea3-ea693a9955fd",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1552,
        64
      ],
      "parameters": {
        "width": 500,
        "height": 572,
        "content": "# \ud83d\udcca PPC Campaign Intelligence System\n\nAutomatically monitors Google Ads campaigns daily, analyzes performance with AI scoring, and alerts your team about scaling opportunities or issues requiring attention.\n\n**AI Analysis:** Evaluates CTR, conversion rate, cost efficiency, and traffic volume to assign performance scores (0-100).\n\n**Setup:**\n- Connect Google Ads, Sheets, Slack, SMTP\n- Update spreadsheet IDs and Slack channels\n- Customize scoring thresholds in code\n- Adjust email recipients\n\n**Benefits:**\n- Never miss scaling opportunities\n- Catch underperforming campaigns early\n- Data-driven optimization decisions\n- Automated daily reporting\n\n*Built by Daniel Shashko*\n[Connect on LinkedIn](https://www.linkedin.com/in/daniel-shashko/)"
      },
      "typeVersion": 1
    },
    {
      "id": "ef8d2d41-a0ef-4b1d-818e-f5a7d7226537",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -992,
        112
      ],
      "parameters": {
        "width": 160,
        "height": 96,
        "content": "Triggers workflow automatically every morning at 9 AM daily"
      },
      "typeVersion": 1
    },
    {
      "id": "fa399e33-4467-47c1-9348-cb158ee868a2",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -768,
        112
      ],
      "parameters": {
        "width": 160,
        "height": 96,
        "content": "Pulls all campaign metrics from Google Ads API"
      },
      "typeVersion": 1
    },
    {
      "id": "fb6102c7-dc3e-4c25-971d-06466655d812",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -544,
        112
      ],
      "parameters": {
        "width": 160,
        "height": 96,
        "content": "Scores campaigns based on CTR, conversions, and cost efficiency\n"
      },
      "typeVersion": 1
    },
    {
      "id": "0a0be77c-952d-4b11-ba26-65572a0e736a",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -320,
        112
      ],
      "parameters": {
        "width": 160,
        "height": 96,
        "content": "Splits campaigns into high-performers versus worst ones"
      },
      "typeVersion": 1
    },
    {
      "id": "7ffd9913-010f-4cb0-9254-bbbb90871c2e",
      "name": "Sticky Note5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -256,
        432
      ],
      "parameters": {
        "width": 160,
        "height": 96,
        "content": "Records all campaign data to historical log spreadsheet\n"
      },
      "typeVersion": 1
    },
    {
      "id": "81f36a32-5ee6-4dbf-b84e-b00677bb0264",
      "name": "Sticky Note6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        128,
        -80
      ],
      "parameters": {
        "width": 160,
        "height": 96,
        "content": "Logs daily metrics to Google Sheets performance tracking tab"
      },
      "typeVersion": 1
    },
    {
      "id": "19224e33-b214-421e-b867-73f7e8434669",
      "name": "Sticky Note7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -272,
        -96
      ],
      "parameters": {
        "width": 160,
        "height": 128,
        "content": "Sends Slack notification for excellent performing campaigns ready to scale"
      },
      "typeVersion": 1
    },
    {
      "id": "a0a6c66c-167f-4bb7-9e88-d15abf368632",
      "name": "Sticky Note8",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -256,
        624
      ],
      "parameters": {
        "width": 160,
        "height": 128,
        "content": "Sends Slack warning for underperforming campaigns requiring immediate action\n"
      },
      "typeVersion": 1
    },
    {
      "id": "1f7e7fcd-258b-4bc1-ba66-a6775f5b165c",
      "name": "Sticky Note9",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -96,
        112
      ],
      "parameters": {
        "width": 160,
        "height": 96,
        "content": "Creates customized email reports based on campaign performance tier\n"
      },
      "typeVersion": 1
    },
    {
      "id": "caa7a611-c83b-4936-bc34-86ee7a405754",
      "name": "Sticky Note10",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        128,
        416
      ],
      "parameters": {
        "width": 160,
        "height": 96,
        "content": "Sends personalized action plan emails to PPC team members\n"
      },
      "typeVersion": 1
    },
    {
      "id": "a15c7d78-b442-4af0-a02c-97a46f8fc623",
      "name": "Sticky Note11",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        352,
        16
      ],
      "parameters": {
        "width": 160,
        "height": 96,
        "content": "Calculates total spend, conversions, and campaign distribution summary"
      },
      "typeVersion": 1
    }
  ],
  "connections": {
    "Generate Action Plan": {
      "main": [
        [
          {
            "node": "Email Performance Report",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Route by Performance": {
      "main": [
        [
          {
            "node": "Update Campaign Dashboard",
            "type": "main",
            "index": 0
          },
          {
            "node": "Log All Campaigns",
            "type": "main",
            "index": 0
          },
          {
            "node": "Alert: Scale Opportunity",
            "type": "main",
            "index": 0
          },
          {
            "node": "Generate Action Plan",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Update Campaign Dashboard",
            "type": "main",
            "index": 0
          },
          {
            "node": "Log All Campaigns",
            "type": "main",
            "index": 0
          },
          {
            "node": "Alert: Issues Detected",
            "type": "main",
            "index": 0
          },
          {
            "node": "Generate Action Plan",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Schedule Daily Check": {
      "main": [
        [
          {
            "node": "Fetch Google Ads Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Fetch Google Ads Data": {
      "main": [
        [
          {
            "node": "AI Performance Analysis",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "AI Performance Analysis": {
      "main": [
        [
          {
            "node": "Route by Performance",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Email Performance Report": {
      "main": [
        [
          {
            "node": "Generate Daily Summary",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Update Campaign Dashboard": {
      "main": [
        [
          {
            "node": "Generate Daily Summary",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

About this workflow

This workflow automatically monitors your Google Ads campaigns every day, analyzing performance with AI-powered scoring to identify scaling opportunities and catch issues before they drain your budget. Each morning at 9 AM, it fetches all active campaign data including clicks,…

Source: https://n8n.io/workflows/10174/ — original creator credit. Request a take-down →

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