
Recover 4x more chargebacks and prevent up to 90% of incoming ones, powered by AI and a global network of 20,000 merchants.
Ecommerce brands carry the brunt of this problem, which is why dedicated friendly fraud prevention for ecommerce combines automated alerts with evidence-backed recovery.
Friendly fraud doesn't come from stolen cards or criminal rings. It comes from your own customers. You fulfilled the order. The payment cleared. The product arrived. Then a chargeback hit anyway.
At $132 billion in annual losses, it's now the dominant driver of chargebacks in eCommerce, real customers, disputing real transactions.
This guide breaks down why it happens, how to prevent it, and how to win when it does.
Friendly fraud happens when a real customer disputes a legitimate, delivered purchase with their card issuer instead of asking the merchant for a refund. Nothing about the transaction was fraudulent: the payment was authorized and the order arrived, but the customer files a chargeback anyway. It now drives up to 75% of all chargebacks and costs merchants an estimated $132 billion a year.
Friendly fraud, also known as chargeback abuse or first-party fraud, is when a cardholder disputes a legitimate purchase by claiming it is unauthorized or fraudulent to obtain a refund, while often retaining the product.
Friendly fraud differs from other chargeback cases because the instigator, the cardholder, is most likely a customer rather than a third-party fraudster. In other words, the disputed transaction warrants no chargeback claim.
While the triggers and circumstances vary from case to case, cardholders commit friendly fraud for two main reasons:
“First-party misuse has become more widespread and more damaging, both to merchant businesses and to the issuers, acquirers, and other payment partners that support eCommerce transactions.” (Merchant Risk Council)
Friendly fraud shows up in a handful of recurring patterns. Recognizing the pattern helps merchants pick the right prevention tactic and the right evidence to fight it, instead of treating every dispute as a one-off.
None of these patterns require the cardholder to be a criminal, which is exactly why documentation, not accusation, wins the case.
Friendly fraud was first observed in the chargeback timeline in 2010. Before then, chargebacks categorized under fraud reason codes were generally rare. They’re almost always indicative of genuine card fraud.
Today, friendly fraud is the main driver for the increase in cardholder disputes, with 79% of merchants reporting first-party fraud in 2024, up from 34% in 2023 (Visa Acceptance Solutions, 2024). That trend has continued: the Merchant Risk Council's 2026 Global eCommerce Payments and Fraud Report, surveying 1,278 merchants across 37 countries, found 64% report rising rates of first-party misuse, with one in four seeing increases of 25% or more. The average dispute costs merchants $74 (this varies by industry, as you can see in the image below).
| Industry | Average Chargeback Cost |
|---|---|
| Travel and hospitality | $120 |
| High-risk categories* | $99 |
| Retail | $84 |
| Digital goods | $77 |
| Subscription services | $69 |
*Merchants in high-risk categories provide services related to gaming, gambling, and cryptocurrency exchange. Source: Mastercard.
The spike in disputes has pushed merchants and banks to adopt AI-based fraud prevention, real-time data checks, and automated representment tools. For the full trend picture across every dispute category, not just first-party fraud, see our chargeback statistics breakdown.
What’s driving this meteoric rise in fraud losses, you ask? Let's break it down:
More online transactions correlate to higher payment disputes, legitimate or not. eCommerce's convenience isn't without a downside. It's increasingly easier for cardholders to dispute a transaction than to contact a merchant for remediation.
Cardholders expect fast, frictionless service. When disappointed, they turn to chargebacks. Behavioral AI models can now detect unusual buying or dispute patterns early, minimizing losses.
The chargeback system was originally designed as a fair mechanism for resolving payment disputes. But it's deeply flawed. Banks and card networks prioritize the consumer. This systemic imbalance makes it much easier for cardholders to commit friendly fraud intentionally.
Many cardholders prefer to dispute a charge at the first sight of a problem rather than contact the seller. Winning those cases is no easy task for merchants. According to Mastercard, merchants win only a minuscule 8.1% of disputes they represent.
Platforms like TikTok popularized "chargeback hacks," where users share tips for disputing legitimate transactions (Forbes, 2024). This trend amplifies friendly fraud among younger consumers.
Over in Europe, the payments industry has recorded a new form of friendly fraud involving bank transfers rather than credit card payments. Fraudsters exploit SEPA bank transfer rules to recall payments after settlement, bypassing merchant consent. This has heightened as some banks mishandle SEPA SCT Recall requests, reversing payments without consulting the payee, thereby allowing fraudsters to reclaim funds after receiving goods or services.
The ongoing AI arms race enables fraudsters to bypass traditional security measures. Merchants often struggle to detect fraudulent disputes until it's too late. As Stripe noted, today's fraudsters operate with industrial precision, employing sophisticated teams of engineers, managers, and data analysts to execute their schemes at scale. Fraudsters are leveraging artificial intelligence at every stage of the attack, which means merchants must adopt AI as well to keep up, reduce false claims, and spot first-party misuse faster than manual systems ever could. This risk is compounding as AI shopping agents start making purchases on a customer's behalf, raising new AI agent chargeback liability and agentic commerce chargeback questions merchants haven't had to answer before.
However, AI is not just a tool for fraudsters. It's also a powerful weapon for prevention across different industries. For example, ScienceSoft’s experience shows that insurance fraud detection solutions can unlock 200% to 1,000% ROI when supported by the right automation and analytics factors. The U.S. Treasury recently announced that machine learning AI helped prevent and recover over $4 billion in fraud in FY24. We'll shed more light on AI-driven chargeback prevention in a subsequent section.

Friendly fraud affects merchants, banks, and even the perpetrators themselves. It creates a ripple effect across the eCommerce ecosystem. Here’s how friendly fraud affects these parties:
The frequency of friendly fraud means businesses now spend more time and resources disputing meritless cases. The result?
Despite new policies, like Visa’s Compelling Evidence 3.0, aimed at mitigating severe consequences for merchants, friendly fraud continues to be a costly problem with downstream impacts.
But it also complicates matters for banks as they become pulled into disputes between customers and merchants, which they would ordinarily not be involved in.
| Chargeback Type | Merchants Reporting a >10% Increase in 2024 |
|---|---|
| Third-party fraud | 31% |
| Non-fraud | 30% |
| First-party fraud (friendly fraud) | 28% |
| Low-dollar write-off | 22% |
Source: Mastercard, 2025.
Card networks like Visa, Mastercard, Amex, and Discover set participation requirements for banks that issue and process their cards. These networks use chargebacks as a consumer protection mechanism to build trust in card payments and encourage card usage, while also helping them avoid regulatory backlash. However, chargebacks also expose banks to operational and financial risks.
| Chargeback Type | Issuers Reporting a >10% Increase in 2024 |
|---|---|
| Third-party fraud | 30% |
| First-party fraud (friendly fraud) | 26% |
| Non-fraud | 13% |
Source: Mastercard, 2025.
False and fraudulent chargebacks hurt merchants the most. But it also has some repercussions for perps.
While prison time is rare, cardholders who file false chargebacks still face consequences, including:
That said, the onus is still on merchants to close all loopholes that could result in friendly fraud.
One of the reasons friendly fraud is incredibly challenging for merchants to deal with is that some claims are valid. Some cardholders are honest. The cardholder might have reported an actual problem.
For instance, a minor made the transaction, and the cardholder is trying to reverse it, but it's taking too long due to your store's policies.
With that in mind, below are preventive measures (part of a broader chargeback mitigation strategy) you can implement to stop friendly fraud from burning a hole in your balance sheet.


🔥For Deeper Friendly Fraud Prevention Insights: Explore our guide on actionable strategies for mitigating chargebacks through consumer psychology for more insights. I also suggest you read this piece on how digital goods sellers can combat rising chargeback fraud.
Beyond manual representment, Visa, Mastercard, and Visa-owned Verifi each run a program built specifically to resolve first-party disputes before or without a full chargeback. Card network resources tend to explain only their own program, so here is how the three compare and when each one applies:
| Program | Network | How It Works | When It Applies |
|---|---|---|---|
| Compelling Evidence 3.0 (CE3.0) | Visa | Lets merchants use 2 or more prior undisputed transactions matching IP address and device ID, both older than 120 days, as compelling evidence in representment. | Best for merchants with repeat customers and strong transaction-history data. See the CE3.0 breakdown earlier in this guide. |
| First-Party Trust | Mastercard | Pre- or post-dispute data sharing between merchant and issuer (device details, purchase history, geographic data) so the issuer can flag a genuinely first-party transaction before it becomes a dispute. Live in the U.S. since October 2023, expanded to Canada, Latin America, and Asia-Pacific in mid-2025. | Best for merchants whose processor can share transaction and device data directly with card-issuing banks. Source: Mastercard. |
| Rapid Dispute Resolution (RDR) | Visa (via Verifi) | Pauses a filed dispute before it becomes a chargeback so the merchant can accept a refund or let it proceed, based on rules the merchant sets by transaction value, reason code, or issuing bank. | Best for high-volume merchants who want dispute-ratio protection without fighting every case manually. See how Visa RDR works. |
None of these programs replace prevention or automated representment on their own. Use them as an additional layer: enroll in whichever your processor supports, keep collecting the transaction data CE3.0 and First-Party Trust need, and set RDR rules conservatively so refunds only go out on cases you would likely lose anyway.
3D Secure (3DS2 in the US, mandatory under PSD2 Strong Customer Authentication in the EU) is one of the few controls merchants can turn on before a transaction happens rather than fight after the fact. When a cardholder completes a 3DS2 challenge and the transaction is later disputed under a fraud reason code, liability for that fraud shifts to the card-issuing bank, not the merchant. Visa and Mastercard both extend this protection for 90 days after authentication, per Adyen’s regulatory documentation.
3D Secure does not stop a cardholder from filing a friendly fraud dispute. It changes what that dispute can claim. A cardholder who completed a 3DS2 challenge cannot credibly argue they never authorized the transaction, since the issuer’s own systems verified the cardholder at checkout. That pushes the dispute into a different reason code, such as goods not received or not as described, where the merchant’s delivery and product evidence, not authentication data, decides the case.
Enable 3DS2 challenges for new customers, high-value carts, and any transaction pattern flagged by the card network programs above. Skip forcing a challenge on repeat, trusted customers: it adds checkout friction without meaningfully reducing dispute risk.
If you’re wondering whether friendly fraud claims are winnable, the answer is YES!
But success requires robust evidence and efficient processes.
Seriously, you don’t have to keep writing off those losses as the cost of sales, which is a double negative. By doing so, you’re inadvertently telling scammers to keep it coming. And, as we’ve already noted, excessive chargebacks affect your payment processing privileges. If you can't keep your chargeback ratio under the card network-approved margin, you'll move into the card network monitoring program and face severe fines.
So, how do you dispute friendly fraud and win? There are two strategies you can explore:
If you choose to pursue manual representment, be prepared to gather comprehensive, compelling evidence, such as:
You need to submit your documentation promptly in the correct format, adhering to card network rules, and follow up if additional evidence is requested.
That said, traditional chargeback management practices are becoming increasingly ineffective, as cardholders can now file disputes with a single click. The process is time-consuming, time-consuming, and often yields poor results: only an 8.1% success rate (Mastercard, 2025).
Even major financial institutions and card networks acknowledge the complexity of the traditional chargeback process. Mastercard says, “The chargeback process is costly and time-consuming. So, it should not be surprising that Financial Institutions (FIs) are steering away from manual human review toward analysis supported by automation or AI-based models.”
Automated systems like Chargeflow handle the entire chargeback lifecycle so you can win disputes without lifting a finger. The outcome has consistently been higher than the industry average, above 75%.
The advantage of an automated chargeback management system like Chargeflow is that it:
If you are comparing automated dispute options, look for:
By the way, you only pay for successfully disputed chargebacks.
With chargeback volumes surging, 261 million this year alone, merchants are now prioritizing advanced technology and tools to streamline chargeback management.
🛑Read this case study of Chargeflow client Elementor and see how chargeback automation protects merchants from friendly fraud.
Every research, report, or commentary on chargeback trends has one reverberating conclusion: friendly fraud is a growing challenge for eCommerce businesses. It's a $132 billion-per-year challenge with no end in sight. Artificial intelligence is becoming a critical tool in understanding transaction patterns and reducing the impact of first-party misuse.
When cardholders slap a vendor with friendly fraud, the predictable outcome is financial losses, penalties, and a damaged reputation. Without proactive measures, such as addressing fraud loopholes before processing transactions and using automated chargeback management to guard against con artists, it'll be extremely tough to survive friendly fraud. AI powered chargeback systems give merchants a faster and more accurate way to prevent disputes and strengthen evidence in real time, which is now essential for staying ahead of rising fraud trends.
Granted, you can’t possibly stop all friendly fraud cases. But you can minimize occurrences and win meritless claims that slip through the cracks. So act now! Automate your chargebacks today.
eCommerce businesses are facing myriad challenges these days. The last thing you need is to leave your chargeback management to chance.
By blending proactive strategies, AI driven analysis, and industry advocacy, merchants can turn the tide against friendly fraud. All the best!
What is friendly fraud in simple terms?
Friendly fraud is when a real customer disputes a legitimate charge with their bank instead of asking the merchant for a refund. The purchase was real, the product was delivered, and the payment was authorized, but the customer files a chargeback anyway. Despite the name, there's nothing friendly about it for merchants.
What is accidental friendly fraud?
Accidental (or unintentional) friendly fraud happens when a cardholder genuinely doesn't recognize a charge, often because of an unclear merchant name on their statement or a forgotten subscription, and disputes it without meaning to defraud the merchant. It differs from intentional friendly fraud, where the cardholder recognizes the purchase but disputes it anyway to get free goods or a refund. Clear billing descriptors and proactive order confirmations are the best way to prevent the accidental kind.
What's the difference between friendly fraud and chargeback fraud?
Chargeback fraud is the umbrella term. Friendly fraud is a specific type where the person who made the purchase is also the one disputing it. Criminal fraud involves a stolen card and an unauthorized transaction. Friendly fraud involves a legitimate customer and a valid transaction, which is exactly what makes it harder to detect and fight.
Is friendly fraud illegal?
Intentional friendly fraud, where a customer knowingly files a false dispute to keep goods or get a refund they're not entitled to, is technically fraud under the law in most jurisdictions. In practice, prosecutions are rare. But consequences do exist: merchants can blacklist repeat offenders, and banks can close accounts or restrict dispute privileges for customers with a pattern of abuse.
How do I prove friendly fraud to my bank?
You can't go directly to the bank, you respond through the chargeback representment process to the card network. The evidence that matters most is: proof of delivery (carrier timestamps, signature confirmation), proof of authorization (IP address, device fingerprint, login history for digital goods), customer communication logs, and a clear record of your refund policy shown at checkout. The goal is to connect the cardholder to the transaction in a way the issuer can't ignore.
What happens to customers who commit friendly fraud?
Most face no legal consequences, but the downstream effects are real. Merchants can permanently ban them and share data through fraud networks. Banks monitor dispute patterns, repeat filers can lose dispute privileges or have their accounts reviewed or closed. A lost banking relationship damages credit utilization and credit scores. And if a merchant wins the representment, the case is closed with no further recourse for the cardholder.
Can you go to jail for friendly fraud?
Criminal prosecution for a single friendly fraud dispute is rare. Banks seldom refer individual first-party cases to law enforcement, the burden of proof is high, and pursuing one small transaction rarely justifies the cost for an issuer. That is exactly why merchants should not rely on the threat of legal consequences to stop repeat offenders: dispute alerts, compelling evidence, and the card network programs above do far more to change cardholder behavior than the possibility of prosecution ever will.
Why does it sometimes feel like banks side with cardholders in friendly fraud disputes?
Card issuers are built to protect cardholder trust, so in a close or under-documented case, the dispute often resolves in the cardholder's favor by default. This is not a conspiracy; it is an incentive structure, since banks answer to their cardholders, not to the merchant on the other side of the transaction. The practical takeaway is the same either way: the stronger and better-documented your evidence, the less that default works against you.

Recover 4x more chargebacks and prevent up to 90% of incoming ones, powered by AI and a global network of 20,000 merchants.