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Multi-accounting fraud

Stop Multi-Accounting fraud at signup, not after the damage is done

Struggling to stop multi-accounting without disrupting genuine users? Shufti protects your acquisition funnel by detecting duplicate identities, linked devices, and behavioral anomalies, ensuring one user means one account.

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40%

Businesses suffer from referral fraud

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90%

merchants report property abuse

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10%

year on year growth of Multi-accounting

Rise of Multi Accounting Fraud, what seems to be the problem

The rise of multi-accounting fraud isn’t just about duplicate signups, it’s about hidden identities slipping past weak checks. Fraudsters exploit loopholes across devices and platforms, draining revenue and trust before businesses even notice.

Rise of referral fraud

  • Nearly half of businesses are losing money to referral fraud and fake signups and self-referrals are turning loyalty programs into liabilities.

Bonus abuse in gambling

  • Nine out of ten merchants are battling promo abuse with multi-accounting and loophole gaming quietly eroding profitability.

Fraud hidden in plain sight

  • Multi-accounting is no edge case, it’s growing by 10% annually. And every new account could just be the same user in disguise.

Shufti is built to protect the marketing budget you spend on growth

Fraudsters don’t just make one account, they make many. From bonus abuse to referral hijacking, multi-accounting skews your marketing ROI and clogs your funnel with fake users. Shufti spots the patterns, connects the dots, and shuts it down, so every account is real, and every conversion counts.

Unmask Repeat offenders with precision

  • Detect device, IP, and behavioral overlaps across sign-ups.
  • Flag reused phone numbers, emails, and suspicious similarities.
  • Catch VPNs, proxies, and cloaking tactics used to bypass filters

Know who’s real when it matters most

  • Trigger KYC flows dynamically during risky actions (e.g., withdrawal, bonus use).
  • Verify identity authenticity using behavior, location, and intent signals.
  • Validate payments and spot discrepancies before payouts are triggered.

Stop the fake growth cycle

  • Block stacked or duplicate profiles from triggering rewards.
  • Enforce promo rules by user history and fraud risk.
  • Keep your analytics clean by filtering out multi-account abuse at the source.

Multi-accounting fraud prevented at signup

User identifies the right opportunity

Fraudster identifies the perfect opportunity or the victim whose identity can be faked and recreated

They try to create multiple accounts

The fraudster tries to create more than one account using someone else’s details. This is often done with disposable emails, phone numbers and emulators

Multi Account Tool Activated

Detection through multi-accounting, behavioral analytics and device fingerprinting.

Would have used accounts for fraud

Each fake account used to trigger a new user or referral bonus that is converted into tangible rewards. In some cases, multiple accounts are used for money laundering

Multi Account Tool Activated

Multi-account and fraud network detection to catch fraud. Facial scan and liveness conducted for ID match.

Shufti prevents ROI metrics from skewing

The fake accounts would have gone inactive. The business would have been left with wasted budget, distorted acquisition data, but Shufti prevents that

From signup to redemption, Shufti stops multi-accounting at every stage

Identity Verification

  • Identity Verification
  • Liveness Detection
  • Deepfake Detection
  • Document Verification
  • Customer Risk Profile Screening
  • Fraud Network Detection
  • Duplicate Account Screening
  • Geolocation Matching

Device Checks at signup

  • Email pattern Analysis
  • Phone Pattern Analysis
  • Device Intelligence
  • Behavioral Biometrics

Behavioral Monitoring

  • Multi-account Monitoring
  • Velocity Spike Checking
  • Device Intelligence
  • Behavioral Biometrics

Multi account fraud prevention tailored to each Industry

Multi-accounting fraud takes different shapes across industries, from duplicate sign-ups and bonus abuse to fake referrals and reward manipulation. Shufti tailors its prevention models to each sector, detecting linked identities and suspicious behavior in real time.

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Multi account Prevention for Ecommerce

Shufti detects duplicate accounts and fake shoppers, keeping promotions and loyalty programs abuse-free.

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Shufti for Igaming

One player, one account, Shufti stops multi-account gamers from gaming the system.

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Shufti for Mobility

Shufti spots cloned profiles and repeat sign-ups, protecting incentives and keeping rides legit.

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Shufti for Socials

Shufti blocks fake handles and bot-driven sign-ups, ensuring every user on your platform is real.

Our Clients save millions with us. Learn why enterprises and world’s leading businesses trust Shufti.

Explore Shufti’s Global Trust Platform

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The 1% that matters in fraud prevention

Most vendors boast “99% fraud prevention”, but the real danger hides in the 1% they overlook. In this whitepaper, follow the story of Jack, a seasoned fraudster who thrives in those blind spots. Discover why it’s time for companies to move beyond surface-level checks and adopt solutions that truly understand the nuance in every case.

Download the whitepaper
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Frequently Asked Questions

What is multi-accounting fraud?

Multi-accounting fraud occurs when a single individual creates and uses multiple accounts to exploit platforms, often gaining extra rewards, bypassing restrictions, or committing fraudulent activities such as collusion in gaming or marketplace manipulation.

How does referral fraud relate to multi-accounting?

Referral fraud occurs when users create fake or duplicate accounts to claim referral rewards or bonuses, turning loyalty programs into liabilities for businesses. This type of fraud is closely tied to multi-accounting, as both exploit the system for financial gain.

How does Shufti protect against multi-accounting fraud?

Shufti leverages advanced AI-driven technology to detect duplicate identities, linked devices, and behavioral anomalies during the signup process. By analyzing user patterns, we ensure that only one account is associated with each user, effectively preventing multi-accounting and fraud exploitation.

What industries are most affected by multi-accounting?

Industries that offer bonuses, referral rewards, or incentives, such as iGaming, fintech, eCommerce, and subscription services, are most vulnerable to multi-accounting fraud. Platforms in these sectors face increased risks to their profitability, brand trust, and user integrity.

How does Shufti’s AI technology help detect multi-accounting fraud in real-time?

Shufti uses advanced AI and machine learning algorithms to analyze user behavior, device data, and identity patterns in real-time. By flagging discrepancies such as duplicate identities, shared device usage, and unusual activity, Shufti ensures multi-accounting fraud is detected and prevented before it impacts your platform.

What are the best practices for preventing multi-accounting fraud on gig platforms and online marketplaces?

To effectively combat multi-accounting fraud, it’s crucial to integrate identity verification at multiple stages of the user journey, during registration, login, and high-risk actions (e.g., cashing out rewards). Shufti’s end-to-end solution ensures that each user is validated at key touchpoints, reducing fraud and ensuring compliance with industry regulations.

Can Shufti integrate with existing fraud prevention systems on our platform?

Yes, Shufti offers seamless integration with a wide range of fraud prevention and identity verification systems. Whether you’re using custom-built solutions or third-party fraud detection platforms, Shufti can enhance your existing setup with AI-powered verification to detect multi-accounting fraud more efficiently.

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