Stop Loyalty Program Fraud in Its Tracks With These 6 Strategies

Loyalty programme fraud is a growing threat, yet many brands still rely on security measures that haven't kept pace with modern attacks or tactics. This guide breaks down the main types of loyalty fraud, the warning signs to watch for, and six strategies that protect your programme without compromising the customer experience.

Contents:

• Key Takeaways

• What is Loyalty Fraud?

• What are the Main Types of Loyalty Programme Fraud?

• Why Is Loyalty Fraud on the Rise?

• What Are the Three Sources of Loyalty Programme Fraud?

• What Are the Most Common Loyalty Fraud Methods?

• Which Industries Are Most at Risk from Loyalty Fraud?

• Warning Signs and Detection

• Who Suffers From Loyalty Fraud?

• What Do Real Loyalty Fraud Cases Look Like?
  

• 6 Strategies: Loyalty Fraud Detection and Prevention

• How Should You Implement a Loyalty Fraud Monitoring System?

• Future of Loyalty Programme Security

   

Key Takeaways

• Loyalty programme fraud costs businesses an estimated $3 billion globally each year, yet many programmes still rely on basic authentication methods that leave them exposed.

   

• Fraud comes from three sources: external hackers, customers exploiting programme loopholes, and employees with privileged backend access.

   

• Account takeovers affected over 24 million US households in 2021, making them one of the most widespread and damaging types of fraud.

   

• Travel, retail, and financial services face the highest exposure, but no industry running a loyalty programme is immune.

   

• Multi-factor authentication blocks up to 99% of phishing attacks, making it one of the highest-impact steps any programme can take.

   

• A layered approach that combines breach detection, MFA, customer education, workflow triggers, access controls, and secure software is more effective than any single measure alone.

What is Loyalty Programme Fraud?

Loyalty programme fraud is the deliberate exploitation of a reward system. Common examples include stealing points, manipulating redemptions, and compromising customer data. It comes from three directions: external hackers, customers exploiting programme loopholes, and employees with privileged access. Understanding where fraud originates is the first step toward stopping it.

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What Are the Main Types of Loyalty Programme Fraud?

Each distinct form of loyalty fraud targets different vulnerabilities in programmes. Knowing the full range helps identify potential gaps in your current defences before attackers do. It’s also worth noting that multiple types of fraud can occur simultaneously, increasing damage before detection systems respond. So it’s best to familiarise yourself with the six most common types:

• Account takeovers (ATOs)

   

• Data breaches

   

• Points hacking

• Redemption fraud

• Identity theft and spoofing

   

• Friendly fraud from customers

Each type exploits a different weakness in security infrastructure. However, the consequences follow a familiar pattern: financial loss, reputational damage, and erosion of the customer trust that’s fundamental for a successful loyalty programme. Recognising which type you are dealing with early is what separates a contained incident from a costly breach.

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Why Is Loyalty Fraud on the Rise?

Two factors drive the increase. First, many programmes still use basic authentication, leaving them exposed to increasingly sophisticated attacks. Second, awareness remains low despite the scale of the problem. Loyalty and rewards fraud now carries an estimated global cost of up to $3 billion per year.

The figures tell a striking story. Just over a quarter of all documented online frauds in 2021 specifically targeted loyalty schemes, according to industry data. Without stronger security measures, that proportion will continue to climb. Meaning fraud prevention should remain one of the most pressing priorities for any brand running a rewards programme.

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What Are the Three Sources of Loyalty Programme Fraud?

Each source operates differently, targets different vulnerabilities, and requires a different defensive response. The risks are not mutually exclusive either; many programmes face exposure across all three simultaneously. The sections below break down how each type works in practice and what the consequences look like when left unaddressed.

How Does External Fraud Target Loyalty Programmes?

External attackers use phishing, credential stuffing, and spoofed brand interfaces to gain access to loyalty accounts. Once inside, they harvest personal data ranging from email addresses to payment details, drain reward points, and, in some cases, use compromised accounts to launder money through points conversion.

A complete loyalty profile, including login credentials and reward card numbers, fetches lucrative sums on dark web marketplaces. Buyers then execute rapid-fire redemptions before detection systems respond. Beyond the immediate theft of points, the downstream damage includes compromised customer data, regulatory exposure, and reputational harm that is considerably harder to recover from. 

What Is Friendly Fraud in Loyalty Programmes?

Friendly fraud occurs when existing customers deliberately violate programme terms to game the reward system. Common tactics include manipulating referral programmes with fake leads, exploiting multi-factor authentication to double-dip points, and abusing chargebacks. Some estimates suggest up to 86% of chargebacks are intentionally fraudulent.

Why Is Internal Fraud Particularly Dangerous?

Employees with backend access understand security protocols and know how to work around them. Company insiders account for more than half the total value of fraud committed against businesses, costing over $1 billion annually. Internal fraud often starts small, with minor account adjustments, before escalating to systematic point theft from dormant accounts.

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What Are the Most Common Loyalty Fraud Methods?

Beyond the three source categories, fraud takes several distinct forms, each with its own attack pattern and set of warning signs. Some methods target individual accounts. Others go after entire programme infrastructures. Recognising the differences between them makes early detection considerably easier and helps you prioritise where to strengthen your defences first.

What Makes Loyalty Programmes Vulnerable to Data Breaches?

In-house loyalty programmes often run on legacy security infrastructure that cannot resist new threats. The average cost of a data breach reached $4.35 million in 2022, whereas reputational damage goes beyond financial costs. That’s why purpose-built loyalty platforms should be a key consideration in any build-versus-buy decision – as they are typically built to banking-grade security standards. 

How Do Account Takeovers (ATOs) Work?

An account takeover is the gradual hijacking of a loyalty account. Rather than draining points immediately, attackers make small changes to personal information over time, eventually modifying authentication methods to lock out the legitimate user. In 2021 alone, over 24 million US households fell victim to loyalty-related ATOs.

What Is Spoofing in the Context of Loyalty Schemes?

Spoofing involves fraudsters creating fake versions of a loyalty programme's interface, complete with convincing design and branding, to harvest login credentials. Email-based phishing attacks increased 7.3% in 2021. Modern spoofing campaigns are particularly effective against loyalty members because customers are naturally receptive to messages about their rewards.

How Does Points Hacking Work?

Points hacking has shifted from targeting individual accounts to attacking entire point storage infrastructures. Attackers focus on dormant accounts that collectively hold considerable monetary value, precisely because inactivity makes unusual behaviour harder to flag. Once access is gained, stolen points are converted quickly through resale or redemption before detection systems can respond.

What Is Redemption Fraud?

Redemption fraud exploits grey areas in programme rules. Internal actors may manipulate accounts while constructing plausible justifications for customer service. Some customers systematically test system limits, attempting to claim expired promotions or redeem points through unauthorised channels. The difficulty is that on the surface, these actions can look legitimate. 

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Which Industries Are Most at Risk from Loyalty Fraud?

No industry with a loyalty programme is immune, but certain sectors are exposed because of the value and transferability of their rewards. Travel, retail, and financial services consistently appear at the top of reported fraud cases. That’s because each has specific vulnerabilities that fraudsters actively exploit – for example, high-value redemption options or flexible points transfers.

Why Is the Travel Sector a Primary Target?

Travel loyalty fraud costs an estimated $1 billion annually. Fraudsters targeting frequent flyer accounts often leave them dormant for months. Then they test control limits executing large-scale redemptions during peak booking periods, when high-value transactions appear less suspicious than usual. 

How Does Loyalty Fraud Affect the Retail Sector?

Once fraudsters take over retail loyalty accounts, they convert stolen points into gift cards. Those cards are then resold through dark web marketplaces and private channels for 25 to 60% of face value. The clean transaction trail makes this scheme harder to flag than direct point theft.

What Does Loyalty Fraud Look Like in Financial Services?

Banks typically maintain strong security for core services. But their loyalty programmes sometimes operate with less rigorous protection. This amounts to a side-door vulnerability. The 2023 FICO Trends Report recorded a 53% increase in loyalty fraud attempts in this sector, as fraudsters exploit the gap between core banking security and rewards infrastructure.

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What Are the Warning Signs of Loyalty Programme Fraud?

Most fraud leaves detectable patterns before serious damage occurs. Attackers typically probe for vulnerabilities with small-scale tests before launching full operations, whether that is a handful of failed login attempts or minor account adjustments that seem innocuous in isolation. The warning signs below allow you to intervene early, before a contained threat becomes a costly breach.

What Account Activity Patterns Signal Potential Fraud?

Cross-reference account behaviour against the customer lifecycle stage. Activity in new accounts that is typical of long-term customers (such as high transaction volumes or multiple device usage) often indicates synthetic identity fraud. Established accounts that suddenly deviate from years of consistent behaviour also warrant immediate investigation. The table below outlines the key patterns to monitor across your programme.

What Points Movement Patterns Indicate Fraud?

Unusual earnings combined with immediate redemptions are a strong signal of organised fraud rather than opportunistic abuse. Legitimate customers tend to accumulate points over time before redeeming them. When that pattern is reversed or compressed into a short window, it warrants closer inspection. The table below outlines the key movement patterns that should trigger a review.

What Authentication Failures Should Trigger Alerts?

Authentication failures often precede larger fraud attempts, usually an early indicator that someone is probing your system for weaknesses. A single failed login is rarely cause for concern, but a pattern of failures across multiple accounts, devices, or locations is a different matter. Acting on these signals prevents a minor event from becoming a serious breach.

Which Redemption Behaviours Indicate Fraud?

Compare redemption patterns against each customer's historical behaviour rather than against broad programme averages. A customer who has redeemed points in small amounts over two years, suddenly making a large redemption across multiple channels in a single session, is a warning sign that aggregate monitoring would miss. Deviations from established individual patterns are where fraud most commonly hides.

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Who Suffers When Loyalty Fraud Occurs?

The impact of loyalty fraud extends beyond the immediate financial loss. Customers lose hard-earned rewards and trust in the brand. Businesses face reimbursement costs, regulatory fines, and reputational damage that can take years to recover from. The ripple effect spreads across the entire programme ecosystem, often affecting customers who were never directly targeted but lose confidence in the programme.

A single breach can undo years of carefully built customer relationships. In cases we have seen at Propello Cloud, brands lose not just compromised accounts but also their wider networks, as friends and family members lose confidence in the programme's security.

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What Do Real Loyalty Fraud Cases Look Like?

The following cases illustrate how fraud unfolds in practice, even at organisations with substantial resources and dedicated security teams. Both cases resulted in regulatory action, reputational damage, and costly remediation. The lessons they offer apply to any brand running a loyalty programme, regardless of size or sector.

What Happened in the Marriott International Breach?

In 2020, unauthorised access through two employee logins led to a breach affecting 5.2 million guest accounts. Attackers accessed Marriott's property management system and harvested contact details, loyalty account numbers, and points balances. Despite the Bonvoy platform itself remaining secure, Marriott received an £18.4 million fine. The case shows how even partial account takeovers carry severe consequences.

What Can Brands Learn from the North Face ATO?

The 2022 North Face breach compromised 200,000 customer accounts before being detected. Attackers targeted personal details, purchase histories, and XPLR Pass Rewards data over several weeks. The brand's decision not to store payment card details limited direct financial theft, but the compromise still forced a full token wipe and system-wide password reset.

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What Are the 6 Best Strategies to Prevent Loyalty Programme Fraud?

Protecting a loyalty programme is not a choice between security and customer experience. The two are not in conflict when the right measures are in place. The six strategies below are drawn from our work with enterprise brands managing large-scale reward programmes. Each is designed to provide robust protection without adding unnecessary friction for legitimate customers.

1. How Does a Breach Detection System Protect Loyalty Programmes?

A Breach Detection System (BDS) is a continuously active monitoring layer that flags suspicious activity across your network before it can compromise customer data. Modern BDS tools use real-time analysis to catch attacks mid-execution, forcing attackers to abandon the platform. Key signals your BDS should track include:

• Unauthorised changes to your loyalty platform interface

   

• Sudden spikes or drops in account activity

• Multiple failed login attempts to backend system

   

• Unusual patterns in customer access

   

• Unexpected modifications to redemption rules
  
  

Even brands with strong internal security teams remain vulnerable without automated breach detection. When you are handling sensitive customer data and valuable reward points, you need a system that monitors continuously, not one that relies on manual reviews to catch what automated attacks are designed to slip past.

2. Why Does Multi-Factor Authentication Matter for Loyalty Security?

According to Google, multi-factor authentication blocks up to 99% of phishing attacks, making it one of the highest-impact steps any loyalty programme can take. An effective MFA strategy layers security intelligently rather than adding friction indiscriminately; the goal is to make access harder for attackers without making it harder for genuine customers. Key components include:

• One-time passwords via email, SMS, or authenticator apps

• Biometric verification to banking-grade standards

• Geographical mismatch detection between payment cards and login locations

• Advanced CAPTCHA systems block automated attacks
  
  

Some customers will initially question additional security steps. Resistance fades quickly once they understand what is being protected. More than half of consumers view businesses that implement strong security measures positively. In our experience, goodwill arrives over time. A programme that customers trust is one they continue to engage with.

3. How Can Customer Education Reduce Social Engineering Attacks?

Social engineering is a growing attack vector. Criminals impersonate legitimate communications to harvest customer credentials rather than attacking systems directly. According to KPMG's Consumer Loss Barometer, customers rank frequent security communications (38%), direct access to security teams (13%), and mobile security courses (10%) as the most valuable protective measures their institutions can take. Effective customer education includes:

• Clear communication about what your team will never request, such as passwords or full account details

• Guidelines for identifying suspicious communications

• Dedicated reporting channels to security teams

• Regular updates about emerging threats
  

An educated customer base is one of the most cost-effective fraud prevention tools available. Customers who understand what legitimate communications look like are far harder to manipulate, turning a common vulnerability into an active layer of defence across your entire programme.

4) How Do Customised Workflow Triggers Detect Friendly Fraud?

Smart workflow design acts as an early warning system for friendly fraud, catching suspicious behaviour from bad-actor customers before it escalates into something harder to reverse. Unlike external attacks, friendly fraud can be difficult to distinguish from legitimate activity at first glance. That’s why purpose-built triggers that flag specific behavioural patterns are so valuable. Proven examples include:

• Birthday reward abuse detection, flagging multiple redemption attempts or suspicious date changes
• Point-to-purchase ratio monitoring for unusual earning patterns
• Multi-channel activity tracking to spot potential fraudulent transactions
• Time-based triggers that identify abnormal redemption velocities

Experian's latest fraud report highlights how smart workflows combat APP and P2P fraud. The same logic applies directly to loyalty programmes. With 59% of eCommerce merchants reporting increased friendly fraud, layered workflow monitoring has moved to a baseline requirement. The brands that invest in these triggers early are the ones that contain incidents before they scale.

5. Why Should You Limit Backend Access in Your Loyalty Programme?

The most secure loyalty programmes operate through small, dedicated teams with clearly defined access. At Propello Cloud, we assign focused customer success teams to a select number of client representatives, creating traceable interaction points that contain risk. Key principles for managing backend access include:

• Designate a small number of people responsible for programme maintenance

   

• Establish clear responsibility chains for system modifications

   

• Document all access permissions and interaction protocols

   

• Conduct regular access audits and security reviews

When only a handful of people can modify reward points or account settings, unusual activity becomes immediately apparent. Modern loyalty software reduces the need for large backend teams, further tightening the access circle. The smaller the circle is, the faster anomalies surface, and the less opportunity there is for fraud to go undetected across your programme.

6. What Should You Look for in Secure Loyalty Software?

Technology partnerships matter. Often, the foundation starts with the platform itself. Propello Cloud is ISO 27001-aligned, conducts regular penetration testing, and operates on an IL4 hosting environment. Built-in fraud controls, role-based access permissions, and end-to-end audit trails mean security is built into the platform architecture. 

For enterprise brands, this matters beyond fraud prevention alone. Procurement teams increasingly require documented security evidence before approving new technology. Propello Cloud is designed to support those reviews, with GDPR-focused processes, incident response runbooks, and third-party testing evidence readily available. The result is a platform that protects your programme, your customers, and your ability to scale securely. 

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How Should You Implement a Loyalty Fraud Monitoring System?

The six strategies above work best as a connected system rather than individual measures applied in isolation. Fraud rarely exploits a single vulnerability; it finds the gaps between them. Building a monitoring system that includes breach detection, authentication controls, workflow triggers, and access management into a single framework turns reactive security into genuine protection. 

What Fraud Monitoring Tools Are Most Effective?

Modern fraud detection requires a layered approach. AI-powered analytics, behavioural monitoring, and real-time transaction tracking work together to catch patterns that individual tools might miss. The key is continuous monitoring that adapts to emerging threats rather than relying on static rule sets.

What Account Security Protocols Should Loyalty Programmes Have?

Monitoring alone is not enough. You need clear protocols for responding to alerts: defined processes for investigating suspicious activity, validating flags, and taking action on compromised accounts. Without documented escalation paths, even the best detection tools lose effectiveness. Teams need to know who owns each alert type, what the response timeline looks like, and when to escalate.

How Should Fraud Alerts Be Structured?

Tiered alert systems work best for loyalty fraud monitoring. Minor anomalies trigger automated warnings. Serious security risks prompt immediate action. The goal is to balance sensitivity with accuracy so that genuine threats surface quickly without creating alert fatigue. Calibrating those thresholds takes iteration. A well-tuned system is what separates a team that responds effectively from one chasing noise.

What Does Comprehensive Transaction Tracking Cover?

Effective tracking goes beyond monitoring individual transactions. It requires understanding patterns across the entire programme, from point accumulation behaviours to redemption trends over time. Spotting a single suspicious transaction is useful. Identifying a systematic pattern across accounts is far more powerful.

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What Is the Future of Loyalty Programme Security?

The security landscape is evolving quickly, driven by advances in AI and a growing recognition that no sector can defend itself in isolation. Fraud tactics are becoming more automated, more targeted, and harder to detect with static rule-based systems. The organisations that stay ahead are investing in adaptive, intelligence-led security rather than waiting for an incident to expose the gaps.

How Will AI Change Loyalty Fraud Detection?

Machine learning models can now identify both known and emerging fraud patterns in real time, analysing datasets at a scale that legacy systems cannot match. Critically, well-designed AI systems do this without degrading the experience for legitimate customers, which was the trade-off for stricter security measures.

Why Is Cross-Industry Collaboration Important for Fraud Prevention?

Modern fraudsters do not operate in silos, so defensive strategies shouldn’t either. According to industry research, 81% of sector leaders consider cross-industry collaboration essential to fraud prevention. Secure data consortiums and shared intelligence help identify fraud patterns across programmes before attacks can spread.

How Is Biometric Authentication Evolving?

Physical biometrics such as fingerprints remain valuable. However, the direction of travel is towards multi-layered authentication. A combination of behavioural biometrics, device intelligence, and advanced analytics is harder to spoof. Behavioural biometrics, which analyse patterns such as typing rhythm and navigation behaviour, add a continuous verification layer that operates invisibly to legitimate customers.

What Does the Shift to Proactive Fraud Prevention Look Like?

Organisations are moving from reactive detection to proactive monitoring, a shift backed by significant investment. Experian's research shows an overwhelming focus on real-time monitoring and AI investment across the industry. Anti-fraud budgets are growing, reflecting a genuine change in how businesses approach programme security.

How Do You Build a Secure and Future-Proof Loyalty Programme?

Protecting your loyalty programme means protecting the relationships you have built with your customers, and the revenue those relationships generate. Security requires a layered approach that covers initial setup, ongoing infrastructure, and continuous adaptation as threats evolve. A comprehensive security strategy covers three stages.

Implementation Checklist

• Assess your current security vulnerabilities
• Identify high-risk areas in your reward programme
• Plan a multi-layered security approach
• Choose a technology partner with proven fraud prevention capabilities
  
  

 Essential Resources

• Deploy real-time monitoring systems
• Implement multi-factor authentication
• Establish clear security protocols and escalation paths
• Train your team on fraud recognition and response
  
  

Ongoing Protection

• Run regular security audits
• Maintain continuous monitoring and adapt to emerging threats
• Run customer education programmes
• Invest in proactive rather than reactive threat detection
  
  

Ready to build a more secure loyalty programme? Download Propello Cloud's Loyalty Uncovered Report 2025 to see how leading brands combine robust security with seamless customer experiences. Or if you'd like to see how Propello Cloud protects enterprise loyalty programmes in practice, book a demo with our team.

FAQs

Most vulnerabilities come from outdated authentication methods, legacy systems that cannot keep pace with modern threats, and the high value of the data and points stored in accounts. This combination makes loyalty programmes an attractive target.

Implement strict access controls, limit backend access to essential personnel, maintain detailed audit trails, and use real-time monitoring. Regular security audits and clear accountability chains reduce the risk of internal exploitation.

AI systems analyse large volumes of transaction data to detect suspicious patterns in real time. Machine learning models identify both known and emerging fraud patterns while maintaining seamless experiences for legitimate customers.

According to Google, MFA blocks up to 99% of phishing attacks. Combining multiple security layers, including biometrics and device verification, reduces the risk of unauthorised access to accounts.

Brands need dedicated reporting channels, immediate account freeze capabilities, and trained security teams ready to investigate. Clear escalation procedures and secure communication methods keep customers informed throughout the process.

Travel, retail, and financial services face the highest exposure due to high-value rewards and flexible redemption options, but no industry with a loyalty programme is immune.

Highly important. Social engineering attacks target programme members directly, so regular security communications and clear guidance about official contact methods are a practical first line of defence.

Essential features include multi-factor authentication, real-time monitoring, fraud detection algorithms, secure data encryption, and regular security audits. Biometric verification adds an extra layer for high-value programmes.

Author Bio, Written By: 

Mark Camp | CEO & Founder at PropelloCloud.com | LinkedIn

Mark is the Founder and CEO of Propello Cloud, an innovative SaaS platform for loyalty and customer engagement. With over 20 years of marketing experience, he is passionate about helping brands boost retention and acquisition with scalable loyalty solutions.

Mark is an expert in loyalty and engagement strategy, having worked with major enterprise clients across industries to drive growth through rewards programmes. He leads Propello Cloud's mission to deliver versatile platforms that help organisations attract, engage and retain customers.