← All Analytics
Google Ads email verification with BillionVerify
Google Ads lets businesses reach customers through search, display, and video campaigns. Integrating BillionVerify via n8n, Integrately, or the REST API ensures the email audiences and lead lists feeding your ad campaigns contain only real, deliverable addresses, improving match rates and protecting ad spend.
Why verify before the send
Customer match audiences and lead form exports from Google Ads are only as effective as the email addresses they contain. Invalid, disposable, or catch-all addresses lower audience match rates, waste budget on unreachable leads, and can trigger spam complaints if emailed. Verifying with BillionVerify before uploading or processing leads keeps your campaigns efficient and your sender reputation intact.
Ready-to-use n8n workflow
Import this workflow into n8n — it verifies every address with BillionVerify before Google Ads sends, so only deliverable contacts are emailed. Install the BillionVerify community node first, then add your API key. Adapted from this n8n template
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": {}
}Workflow templates with Google Ads
Ready-to-use workflows that verify emails before Google Ads sends.
How it works
- 1
Connect BillionVerify to your Google Ads workflows using the n8n community node, Integrately's 1-click setup, or direct REST API calls.
- 2
Trigger verification when a new lead form submission arrives from a Google Ads campaign or when you prepare an audience upload.
- 3
BillionVerify validates each email against syntax rules, MX records, mailbox existence, disposable domain lists, and catch-all detection.
- 4
Filter out unverified addresses so only clean, confirmed emails reach your CRM, remarketing lists, or email follow-up sequences.
- 5
Monitor verification results over time to identify which campaigns generate higher-quality leads with lower invalid-email rates.
When to use this
Clean lead form submissions before CRM sync
Google Ads lead forms often capture unverified user input. Route each submission through BillionVerify before syncing to your CRM, ensuring only valid leads enter your nurture pipeline and sales team's queue.
Improve customer match audience quality
Before uploading an email list as a customer match audience in Google Ads, verify every address with BillionVerify to remove invalid entries, increasing match rates and lowering cost-per-matched-user.
FAQ
Why should I verify emails from Google Ads lead forms?
Users sometimes mistype or enter fake emails on lead forms. Verifying before follow-up prevents hard bounces, protects your sending domain, and ensures your sales team only contacts real prospects.
How does BillionVerify connect to Google Ads?
Use the n8n community node or Integrately to build a no-code flow triggered by new lead form entries, or integrate via the BillionVerify REST API in a custom webhook handler.
Does verifying audience emails improve ad performance?
Cleaner email lists produce higher customer match rates in Google Ads, meaning more of your budget targets real, identifiable users rather than unmatched invalid addresses.
What email types does BillionVerify filter out?
BillionVerify removes addresses that are syntactically invalid, belong to non-existent mailboxes, use disposable domains, are role-based like noreply@, or come from catch-all domains that accept any input.
Verify emails in Google Ads
Create a free account, grab your API key, and stop bounces before they happen.
Get started free