Implement risk-based phone validation to score leads automatically, prevent fraud before it enters your pipeline, and improve sales productivity by 73%. Learn the exact models top companies use to assess phone number risk.
Phone number risk assessment evaluates multiple data points to assign a risk score (0-100) indicating the likelihood that a phone number is fraudulent, invalid, or low-quality. This score enables automated lead routing, fraud prevention, and sales team prioritization.
Unlike simple validation (valid/invalid), risk assessment considers line type, carrier reputation, number age, porting history, geographic consistency, and pattern analysis to deliver a comprehensive fraud risk evaluation.
94% of these leads convert successfully
87% of these leads are fraudulent or invalid
Professional risk assessment analyzes 7 key factors to calculate a comprehensive risk score. Each factor is weighted based on fraud patterns observed across 10M+ phone validations.
| Risk Factor | Weight | Low Risk Indicators | High Risk Indicators |
|---|---|---|---|
| Line Type | 35% | Mobile (Fixed) | VoIP, Virtual, Disposable |
| Carrier Reputation | 20% | Tier-1 MNO (Verizon, AT&T) | MVNO, Prepaid, Unknown |
| Number Age | 15% | >6 months old | <30 days old |
| Porting History | 12% | No recent porting | Ported <90 days |
| Geographic Consistency | 10% | Matches IP/Address | Country/City mismatch |
| Pattern Analysis | 5% | Normal usage patterns | Sequential, repeated |
| Validation Status | 3% | Active, reachable | Disconnected, invalid |
Weightings are continuously refined using machine learning on fraud patterns across 500+ enterprise customers
Phone: +1 (415) 555-0123
Type: Mobile (Verizon)
Age: 4 years
→ Auto-approve for sales
Phone: +1 (646) 555-0456
Type: Mobile (MVNO)
Age: 3 months
→ Require additional verification
Phone: +1 (800) 555-0789
Type: VoIP (Non-Fixed)
Age: 7 days
→ Block automatically
Call the risk assessment API to receive a comprehensive score and detailed factor breakdown:
// Get comprehensive phone risk assessment
async function getPhoneRiskScore(phone, context) {
const response = await fetch(
'https://api.phone-check.app/v1/assess-risk',
{
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': 'Bearer YOUR_API_KEY',
},
body: JSON.stringify({
phone: phone,
includeFactors: true,
context: {
ipAddress: context.ip,
userAgent: context.userAgent,
location: context.location,
}
}),
}
);
const data = await response.json();
return {
riskScore: data.riskScore, // 0-100 overall score
riskLevel: data.riskLevel, // LOW, MEDIUM, HIGH
confidence: data.confidence, // 85-99%
factors: {
lineType: data.factors.lineType,
lineTypeRisk: data.factors.lineTypeRisk,
carrierName: data.factors.carrier?.name,
carrierReputation: data.factors.carrier?.reputation,
numberAge: data.factors.numberAge,
numberAgeRisk: data.factors.numberAgeRisk,
portingHistory: data.factors.portingHistory,
portingRisk: data.factors.portingRisk,
geographicMatch: data.factors.geographicMatch,
geographicRisk: data.factors.geographicRisk,
},
recommendation: data.recommendation, // ACCEPT, REVIEW, REJECT
};
}Route leads based on risk score to optimize sales team efficiency:
// Route leads based on risk assessment
function routeLeadByRisk(lead, riskAssessment) {
const { riskScore, riskLevel, recommendation } = riskAssessment;
if (recommendation === 'REJECT' || riskScore > 70) {
// High risk: Block or flag for manual review
return {
action: 'block',
reason: 'High fraud risk detected',
notify: 'fraud-team@example.com',
};
}
if (riskLevel === 'LOW' && riskScore < 30) {
// Low risk: Route directly to enterprise sales
return {
action: 'accept',
route: 'enterprise-sales-team',
priority: 'high',
estimatedConversion: '42%',
};
}
if (riskLevel === 'MEDIUM' || riskScore >= 30 && riskScore <= 70) {
// Medium risk: Require additional verification
return {
action: 'verify',
method: 'sms-otp',
verifiedRoute: 'smb-sales-team',
priority: 'medium',
estimatedConversion: '23%',
};
}
return {
action: 'review',
reason: 'Unable to assess risk',
};
}Customize risk weights based on your business requirements and historical fraud patterns:
// Custom risk model for B2B lead validation
function customRiskScore(phoneData, businessContext) {
let score = 0;
// Factor: Line Type (35% weight for B2B)
if (phoneData.lineType === 'voip') {
score += 35; // VoIP is high risk for B2B
} else if (phoneData.lineType === 'landline') {
score += 10; // Landline is medium risk (could be business)
} else if (phoneData.lineType === 'mobile') {
score += 0; // Mobile is preferred for B2B
}
// Factor: Number Age (15% weight)
if (phoneData.ageDays < 30) {
score += 15;
} else if (phoneData.ageDays > 180) {
score += 0;
}
// Factor: Carrier Reputation (20% weight)
if (phoneData.carrierTier === 1) {
score -= 5; // Bonus for Tier-1 carriers
} else if (phoneData.carrierTier === 3) {
score += 15; // Penalty for lower-tier carriers
}
// Factor: Geographic Consistency (10% weight)
if (!phoneData.geographicMatch) {
score += 10;
}
// Factor: Business Context (20% weight)
if (businessContext.industry === 'financial') {
// Stricter for financial services
if (phoneData.riskFactors > 2) score += 20;
}
return Math.min(100, Math.max(0, score));
}Based on 10,000 monthly leads with 34% fraud rate. Your results vary by traffic volume and industry.
Score inbound leads to prioritize enterprise prospects. Block VoIP numbers (87% fraud rate for B2B) and route mobile numbers to senior SDRs.
Result: 73% increase in qualified meetings
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Result: 68% reduction in fraudulent orders
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Result: 91% fraud detection accuracy
Implement professional phone risk assessment with instant setup. Block 94% of bad leads, improve sales productivity by 73%, and save $840K annually.