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How to reduce sign-up fraud with phone number intelligence and VoIP detection

by Ryan Parker
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How to reduce sign-up fraud with phone number intelligence and VoIP detection

Sign-up fraud has become a persistent challenge for digital businesses of all sizes. As customer journeys become faster and more automated, fraudsters exploit gaps in verification processes to create fake accounts, abuse promotions, and bypass safeguards. Combining phone number intelligence with VoIP detection offers a practical way to reduce this risk without adding unnecessary friction for genuine users. When implemented correctly, it helps businesses protect revenue, maintain platform integrity, and improve trust from the very first interaction.

Understanding phone numbers

A key part of this approach is understanding how different types of phone numbers behave and what they signal about user intent. Not all phone numbers carry the same level of risk. To save you googling endless jargon and terms like ‘non-fixed VoIP meaning’, here’s a quick primer.

Non-fixed VoIP numbers are typically internet-based and not tied to a physical address, making them easier to obtain in bulk and more challenging to trace. While these numbers are legitimate in many contexts, they are also frequently used in fraudulent sign-ups because they allow bad actors to create multiple accounts quickly and anonymously. Recognizing this distinction allows businesses to apply more informed risk assessments during onboarding.

Fixed VoIP numbers, on the other hand, are registered to a specific physical address, much like a traditional landline. Because it is location-based, fixed VoIP typically offers stronger guarantees around call quality, emergency service access, and regulatory compliance. This makes fixed VoIP a common choice for offices, call centers, and organizations that need reliable, auditable voice infrastructure.

What is phone number intelligence?

Phone number intelligence looks beyond surface-level validation. Rather than simply confirming that a number exists, it evaluates attributes like line type, carrier, country, and recent usage patterns. This added context helps distinguish genuine users from automated or repeated abuse attempts. Fraud rarely depends on a single signal, but phone intelligence becomes especially powerful when combined with other indicators such as device fingerprints, IP behaviour, or velocity checks.

VoIP detection

VoIP detection plays a key role in limiting large-scale sign-up abuse. Many fraud rings often rely on virtual numbers to exploit free trials, referral incentives, or promotional credits. By flagging VoIP-based numbers at the point of entry, platforms can apply proportionate controls without blocking real users outright. For example, an account created with a higher risk number may be allowed to register but restricted from sensitive actions until additional verification is completed. This approach reduces fraud while protecting conversion rates.

Improving user quality

Reducing fraudulent sign-ups also improves the overall quality of the user base. Fake accounts inflate growth metrics and make it harder to understand how real customers behave. They can skew activation rates, retention data, and lifetime value models, leading teams to make decisions based on misleading information. Phone number intelligence filters out low-quality accounts early, resulting in cleaner datasets and more reliable insights across product and marketing teams.

Operational advantages

There are operational advantages as well. Fraudulent accounts often trigger customer support tickets, payment disputes, and abuse investigations. Each one consumes time and resources that could be better spent supporting legitimate users. Catching risky sign-ups before they become active customers reduces this hidden operational burden and helps teams stay focused on growth rather than remediation.

Improved user experience

User experience also benefits when phone-based checks are used intelligently. Unlike more intrusive verification methods, phone number intelligence can run quietly in the background. Most legitimate users never notice it, while suspicious activity is handled in a targeted and measured way. This balance is especially important in competitive markets where overly aggressive security measures can drive abandonment and damage brand perception.

Compliance considerations

Reputation and compliance are further considerations. Platforms that allow widespread abuse risk losing trust with users, partners, and regulators. Demonstrating that reasonable safeguards are in place helps protect long-term credibility and supports responsible growth. Phone number intelligence contributes to this by reducing accidental contact with reassigned numbers and limiting the use of disposable or high-risk lines.

Slash sign-up fraud with phone number intelligence and VoIP detection

Ultimately, reducing sign-up fraud is about making abuse more difficult and less scalable. Phone number intelligence and VoIP detection remove much of the anonymity that fraudsters rely on, without placing unnecessary barriers in front of genuine customers. By understanding how non-fixed VoIP numbers are used, applying contextual risk assessment, and responding proportionately to suspicious behaviour, businesses can protect their platforms while keeping onboarding fast and user-friendly.

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