← All Analytics Workflows
BillionVerifyGoogle Ads
PPC campaign intelligence & optimization with Google Ads, Sheets & Slack
Pull contacts, verify each address with BillionVerify, and continue to Google Ads — only deliverable addresses get through.
Why verify before the send
Sending to invalid, risky, catch-all, or disposable addresses spikes your bounce rate and erodes sender reputation. A verification gate before the Google Ads step removes that risk automatically — only deliverable addresses continue, the rest are flagged.
The workflow
BillionVerify — verification sits right before the send.
Node by node
- 1Schedule Daily CheckTrigger· n8n
Starts the workflow — on a schedule, a webhook, or manually while you test.
- 2Fetch Google Ads DataSource· n8n
Provides or transforms the contact data flowing through the workflow.
- 3AI Performance AnalysisSource· n8n
Provides or transforms the contact data flowing through the workflow.
- 4Route by PerformanceLogic· n8n
Branches on the verification result: only deliverable addresses continue to the send; the rest are skipped and flagged.
- 5Update Campaign DashboardSource· n8n
Provides or transforms the contact data flowing through the workflow.
- 6Log All CampaignsSource· n8n
Provides or transforms the contact data flowing through the workflow.
- 7Alert: Scale OpportunitySource· n8n
Provides or transforms the contact data flowing through the workflow.
- 8Generate Action PlanSource· n8n
Provides or transforms the contact data flowing through the workflow.
- 9Alert: Issues DetectedSource· n8n
Provides or transforms the contact data flowing through the workflow.
- 10Generate Daily SummarySource· n8n
Provides or transforms the contact data flowing through the workflow.
- 11Verify Email (BillionVerify)Verify· billionverify
The BillionVerify node verifies the address — status (valid / invalid / risky / catch-all / role / disposable), is_deliverable, and a confidence score — before anything is sent.
- 12IF deliverableLogic· n8n
Branches on the verification result: only deliverable addresses continue to the send; the rest are skipped and flagged.
- 13Email Performance ReportSend· n8n
Sends only to verified, deliverable addresses. Swap in your own provider node if you send elsewhere.
Workflow JSON
Copy or download this workflow, then import it in n8n (Workflows → Import from File / Paste). Install the BillionVerify community node first, then add your API key credential.
verify-emails-in-google-ads.json
{
"name": "PPC campaign intelligence & optimization with Google Ads, Sheets & Slack + BillionVerify",
"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
],
"webhookId": "fbe05af4-ac9e-4962-a34a-31f8a88de6b5",
"parameters": {
"text": "🚀 *SCALE OPPORTUNITY DETECTED*\n\n*Campaign:* {{ $json.campaignName }}\n*Performance Score:* {{ $json.performanceScore }}/100\n*Tier:* {{ $json.performanceTier }}\n\n*Key Metrics:*\n• Conversions: {{ $json.metrics.conversions }}\n• Conversion Rate: {{ $json.metrics.conversionRate }}%\n• Cost/Conversion: ${{ $json.metrics.costPerConversion }}\n• CTR: {{ $json.metrics.ctr }}%\n• Total Spend: ${{ $json.metrics.cost }}\n\n*Performance Insights:*\n{{ $json.insights.join('\\n') }}\n\n*💡 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 = `✅ ${campaignName}: Scaling Opportunity Detected`;\n emailBody = `Hi PPC Team,\n\nGreat news! Your campaign \"${campaignName}\" is performing exceptionally well.\n\n📊 PERFORMANCE SUMMARY\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\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💡 KEY INSIGHTS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n${data.insights.map((insight, i) => `${i + 1}. ${insight}`).join('\\n')}\n\n🎯 RECOMMENDED ACTIONS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n${data.recommendations.map((rec, i) => `${i + 1}. ${rec}`).join('\\n')}\n\n📈 SCALING STRATEGY\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n• Increase daily budget by 20-30%\n• Monitor performance closely for next 3-5 days\n• If metrics hold, continue scaling gradually\n• Consider duplicating successful ad groups\n• 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 = `⚠️ ${campaignName}: Performance Issues Detected`;\n emailBody = `Hi PPC Team,\n\n⚠️ ATTENTION REQUIRED\n\nYour campaign \"${campaignName}\" requires immediate attention due to performance concerns.\n\n📊 PERFORMANCE SUMMARY\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\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⚠️ IDENTIFIED ISSUES\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n${data.insights.map((insight, i) => `${i + 1}. ${insight}`).join('\\n')}\n\n🔧 REQUIRED ACTIONS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n${data.recommendations.map((rec, i) => `${i + 1}. ${rec}`).join('\\n')}\n\n🚨 IMMEDIATE NEXT STEPS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\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 = `📊 ${campaignName}: Daily Performance Report`;\n emailBody = `Hi PPC Team,\n\nHere's your daily performance summary for \"${campaignName}\".\n\n📊 PERFORMANCE SUMMARY\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\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💡 INSIGHTS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n${data.insights.map((insight, i) => `${i + 1}. ${insight}`).join('\\n')}\n\n📋 RECOMMENDATIONS\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n${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
],
"webhookId": "4575a129-b422-436d-834a-fbfc5c836b8e",
"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
],
"webhookId": "04c923f7-6530-484c-8f36-248a538678de",
"parameters": {
"text": "⚠️ *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• Cost: ${{ $json.metrics.cost }}\n• Conversions: {{ $json.metrics.conversions }}\n• Cost/Conversion: ${{ $json.metrics.costPerConversion }}\n• Conversion Rate: {{ $json.metrics.conversionRate }}%\n\n*⚠️ 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": "📊 Daily PPC Performance Summary\n\n{{ $('Generate Daily Summary').item.json.totalCampaigns }} campaigns analyzed:\n• {{ $('Generate Daily Summary').item.json.excellentCampaigns }} Excellent 🚀\n• {{ $('Generate Daily Summary').item.json.goodCampaigns }} Good ✅\n• {{ $('Generate Daily Summary').item.json.fairCampaigns }} Fair ⚠️\n• {{ $('Generate Daily Summary').item.json.underperformingCampaigns }} Underperforming 🔴\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": "# 📊 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
},
{
"parameters": {
"operation": "verify",
"email": "={{ $json.email || $json.Email }}",
"additionalOptions": {}
},
"type": "n8n-nodes-billionverify.billionVerify",
"typeVersion": 1,
"position": [
-200,
240
],
"name": "Verify Email (BillionVerify)",
"credentials": {
"billionVerifyApi": {
"id": "",
"name": "BillionVerify account"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "is-deliverable",
"leftValue": "={{ $json.is_deliverable }}",
"rightValue": "",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
}
}
]
}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
-20,
240
],
"name": "IF deliverable"
}
],
"connections": {
"Generate Action Plan": {
"main": [
[
{
"node": "Verify Email (BillionVerify)",
"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
}
]
]
},
"Verify Email (BillionVerify)": {
"main": [
[
{
"node": "IF deliverable",
"type": "main",
"index": 0
}
]
]
},
"IF deliverable": {
"main": [
[
{
"node": "Email Performance Report",
"type": "main",
"index": 0
}
],
[]
]
}
},
"settings": {}
}When to use this
- Cleaning a list before a Google Ads send or sync.
- Protecting Google Ads deliverability and sender reputation.
- Keeping bounce rates low so your sending is never throttled.
FAQ
Why verify before sending in Google Ads?
Verifying first keeps your bounce rate low, which protects your sender reputation and your results.
How do I import this workflow?
Download the JSON, then in n8n go to Workflows → Import from File (or paste it). Install the BillionVerify community node and add your API key credential.
What happens to risky or catch-all addresses?
They are routed to the false branch and excluded from the send. You decide whether to retry, review, or drop them.
Add verification to your workflow
Create a free account, grab your API key, and stop bounces before they happen.
Get started free