A chargeback may appear to begin when a customer disputes a card transaction. For the merchant, however, the circumstances that created it may have begun considerably earlier. A fraudulent customer might have used stolen payment credentials. A legitimate customer may not recognise the merchant name appearing on their statement. An order may have arrived late, a subscription cancellation may have been handled poorly or somebody may claim that a genuine purchase was unauthorised.
By the time the dispute reaches the fraud or payments team, the merchant may already be dealing with lost revenue, operational cost and the administrative burden of deciding whether to accept or challenge the claim.
That makes effective chargeback management much broader than responding to disputes.
The strongest approach connects fraud prevention, customer experience, payment data and dispute management across the transaction lifecycle.
The buyer’s starting question should therefore be: where are our chargebacks actually coming from, and which of them could have been prevented before they became disputes?
Understand Why Chargebacks Are Happening
Not all chargebacks are fraud. GOV.UK notes that customers can seek a chargeback when goods do not arrive, are not as described or when their card has been used fraudulently without permission. Card-not-present transactions such as online purchases carry greater chargeback risk.
Other disputes can result from duplicated payments, cancelled subscriptions, unprocessed refunds or transactions customers simply do not recognise. GOV.UK Pay’s dispute documentation illustrates the breadth of reasons that can sit behind a disputed transaction.
That distinction matters because different causes require different interventions.
Fraudulent transactions may require stronger fraud detection. Unrecognised transactions might be reduced through clearer billing descriptors. Delivery-related disputes may indicate an operational problem. Subscription chargebacks could point towards cancellation or customer-service processes.
A business that treats every chargeback as the same problem is unlikely to solve the underlying causes.
Look Beyond Dispute Management
Traditional chargeback management often concentrates on what happens after the dispute has been filed.
That remains important. Teams need to receive the dispute, understand its reason, gather evidence and respond within the required timeframe.
But modern chargeback strategy can operate across three stages: prevention → pre-dispute resolution → dispute management
Prevention aims to stop problematic transactions or customer experiences before a dispute arises.
Pre-dispute resolution attempts to resolve potential disputes before they progress into formal chargebacks.
Dispute management handles those cases that still reach the formal process.
Checkout.com, for example, offers fraud detection, authentication, pre-dispute tools and post-dispute management. Its guidance describes pre-dispute resolution as addressing a potential issue before a customer formally raises a dispute, while its Disputes proposition includes management, resolution and reconciliation capabilities.
Buyers should establish which stages a prospective solution actually supports.
Stop Fraudulent Transactions Upstream
One of the most effective ways to reduce fraud-related chargebacks is to stop the fraudulent payment before it succeeds.
That requires enough context to distinguish suspicious transactions from genuine customers.
Useful signals might include:
- Device
- IP address
- Location
- Transaction velocity
- Account history
- Behaviour
- Email and phone intelligence
- Previous fraud associations
SEON combines digital footprint, device intelligence and behavioural data with real-time risk scoring across customer journeys including signup, login and payment. Its current platform describes using more than 1,100 signals to support fraud decisions.
Fingerprint specialises in device intelligence, identifying returning visitors and devices and providing signals that can be used to detect payment fraud and suspicious activity while recognising legitimate users.
The objective is not simply to block more transactions.
It is to block the transactions most likely to create losses while allowing genuine customers to buy with as little unnecessary friction as possible.
Use Device Intelligence to Add Context
Consider two transactions that look almost identical from the payment data alone.
One comes from a device that has been used by the same customer repeatedly over several years.
The other comes from a previously unseen device associated with several accounts and unusual activity.
Device intelligence gives the fraud decision additional context.
It can help identify returning devices, account takeover attempts, linked accounts and patterns that may indicate coordinated fraud.
Fingerprint positions device intelligence as a way to recognise both legitimate and suspicious visitors, including identifying devices associated with stolen cards, multiple credentials or previous chargebacks.
SEON similarly combines device characteristics with wider digital and behavioural signals to identify suspicious configurations, linked accounts and unusual activity.
For buyers, an important question is how easily those signals can feed into existing fraud rules and decision-making rather than becoming another standalone source of data.
Don’t Prevent Chargebacks by Declining Good Customers
Aggressive fraud rules can reduce chargebacks.
They can also reduce revenue.
If every unusual transaction is declined, genuine customers may be caught alongside fraudsters.
That creates a balancing act between fraud prevention, chargeback reduction and conversion.
Risk scoring can help businesses move beyond a simple approve-or-decline model. Lower-risk transactions might proceed normally, higher-risk activity might be declined and uncertain transactions could trigger additional verification or manual review.
The best chargeback-prevention strategy is therefore not necessarily the one producing the fewest disputes.
It is the one that achieves an appropriate balance between fraud loss, chargebacks, customer friction and legitimate revenue.
Use Authentication Strategically
Authentication can provide another layer of protection.
Checkout.com recommends tools including 3D Secure and fraud-detection rules to help prevent fraudulent payments and chargebacks.
But additional authentication can introduce friction.
Businesses should therefore consider when stronger verification is justified rather than automatically treating every customer identically.
A familiar customer buying from a recognised device may present a very different risk profile from a newly created account making an unusually high-value transaction from an unfamiliar device.
The wider principle is to make friction proportional to risk.
Prevent Avoidable Customer Disputes
Some of the most effective chargeback controls have little to do with sophisticated fraud technology.
Checkout.com’s merchant guidance recommends clear return and cancellation policies, order confirmation, accessible customer service, recognisable billing descriptors, delivery tracking and detailed transaction records as ways to reduce disputes.
That highlights an important point for fraud teams.
A chargeback problem may actually be a customer-experience problem.
If customers cannot identify a transaction on their statement, struggle to cancel a subscription or cannot obtain a refund through normal customer-service channels, approaching their card issuer may become the easiest option.
Fraud, payments, customer service and operations therefore need to share information about why disputes occur.
Consider Pre-Dispute Resolution
There can be a valuable window between a customer questioning a transaction and a formal chargeback being recorded.
Pre-dispute tools can allow businesses to resolve appropriate cases earlier.
That may mean providing information that helps the customer recognise the transaction or automatically refunding particular disputes where fighting the claim would cost more than accepting it.
Checkout.com’s Rapid Dispute Resolution offering, delivered with Verifi, can automatically resolve qualifying Visa disputes according to merchant-defined rules before they escalate into chargebacks.
Automation can be particularly useful where businesses process large volumes of low-value disputes for which manual investigation would be uneconomic.
The important question is which cases should be resolved automatically and which warrant investigation.
Make Evidence Easy to Retrieve
When a legitimate transaction is disputed, the merchant may need evidence to challenge it.
Potential evidence can include order details, delivery confirmation, customer communications, account activity or records showing customer participation.
Checkout.com specifically recommends maintaining detailed transaction records such as invoices, signed delivery receipts or digital-service download information where relevant.
The operational challenge is often not whether evidence exists somewhere within the organisation.
It is whether the disputes team can retrieve the right evidence quickly enough to respond.
Buyers should therefore assess how a chargeback solution connects payment data with other relevant systems and how much of the evidence-gathering process can be automated.
Use Chargebacks as Fraud Intelligence
A chargeback should not simply disappear into a reporting spreadsheet after the case closes.
Its outcome can provide valuable information for future fraud decisions.
If a device, account, email address or behaviour pattern is subsequently associated with confirmed fraud, that information can potentially improve future risk models and rules.
SEON’s platform supports feedback loops and risk decisioning across digital footprint, device and transaction data, while Fingerprint’s persistent device identification can help businesses recognise returning devices and connect activity across sessions.
This creates a useful cycle: transaction → dispute → outcome → intelligence → improved decision
The faster reliable chargeback outcomes feed back into fraud controls, the more useful historic disputes become.
Monitor the Right Metrics
Chargeback rate is important, but it should not be viewed alone.
Fraud and payments teams can also monitor:
- Fraud loss
- Dispute volume
- Dispute reasons
- Win rate
- Recovery value
- False-positive rate
- Approval rate
- Manual review rate
- Pre-dispute resolution
- Time spent per dispute
These measures help identify whether an apparent improvement in one area is creating problems elsewhere.
A lower chargeback rate achieved by declining substantially more genuine customers, for example, may not represent a successful commercial outcome.
Understand Scheme Monitoring
Chargeback and fraud levels can also have consequences beyond individual disputed transactions.
Card schemes operate monitoring programmes around merchant and acquirer fraud and dispute performance. Visa’s Acquirer Monitoring Program, for example, combines fraud reports and disputes within its monitoring framework, with updated thresholds applying during 2026.
Businesses should understand the relevant scheme requirements and how their payment provider helps monitor performance against them.
For larger merchants in particular, chargeback management therefore becomes part of maintaining a healthy payments operation rather than simply recovering individual transactions.
Questions to Ask Chargeback and Fraud Technology Providers
Buyers should consider asking:
- Does the solution focus on prevention, dispute management or both?
- Which signals are used to identify potentially fraudulent transactions?
- What device intelligence is available?
- Can risk decisions be made in real time?
- How are genuine customers protected from unnecessary friction?
- Which authentication tools can be triggered according to risk?
- Does the platform support pre-dispute resolution?
- How are dispute notifications and deadlines managed?
- Can evidence gathering be automated?
- Which dispute and fraud analytics are available?
- Can chargeback outcomes feed back into fraud rules or models?
- How does the solution help monitor scheme thresholds?
- How does it integrate with our payment, fraud and customer-service systems?
Frequently Asked Questions
What is a chargeback?
A chargeback occurs when a cardholder disputes a transaction through their card issuer and the payment is reversed. The merchant may then have an opportunity to provide evidence and challenge the dispute.
What causes chargebacks?
Reasons can include fraud, goods not received, products or services not matching expectations, duplicated payments, unrecognised transactions, subscription cancellation issues and refunds that have not been processed.
Can chargebacks be prevented?
Some can. Fraud detection can stop fraudulent transactions upstream, while clearer billing descriptors, good customer service, delivery information and effective refund or cancellation processes can reduce avoidable customer disputes.
What is chargeback fraud?
Chargeback fraud or first-party misuse can occur when a customer disputes a legitimate transaction, for example by claiming that they did not authorise or receive a genuine purchase. Fraud-prevention providers increasingly combine transaction, behavioural and device information to help identify suspicious activity.
What is pre-dispute resolution?
Pre-dispute resolution aims to address a customer dispute before it progresses into a formal chargeback, potentially through information sharing or automated resolution.
Product Guide
Checkout Technology Ltd / Checkout.com
Global payments provider offering payment processing alongside fraud detection, authentication and dispute-management capabilities. Its chargeback tools include pre- and post-dispute resolution, reporting and reconciliation, with fraud and authentication technology designed to help prevent disputes upstream.
Website: https://www.checkout.com/
Fingerprint
Device intelligence platform designed to identify visitors and devices across web and mobile environments. Its technology can support payment-fraud prevention by recognising returning devices, detecting suspicious activity and providing device-level signals for fraud decision-making.
Website: https://fingerprint.com/
SEON Technologies Ltd
Fraud prevention platform combining digital footprint analysis, device intelligence, behavioural data and real-time risk scoring. The technology can be used across signup, login and payment journeys to identify fraudulent activity before it results in downstream losses and chargebacks.
Website: https://seon.io/
From Chargeback Response to Chargeback Prevention
The most useful way to think about chargeback management is as a loop rather than an isolated process. prevent → resolve → respond → learn
Some fraudulent transactions should never reach payment completion. Some customer concerns can be resolved before they become chargebacks. Some disputes will still need to be challenged with evidence. And every outcome can potentially improve the decisions made next time.
That changes the role of chargeback technology.
Instead of simply helping fraud teams deal with yesterday’s disputes, the right combination of payments, fraud and device intelligence can help reduce tomorrow’s.
The Fraud Prevention Summit connects senior fraud, risk and payments professionals with relevant solution providers through pre-arranged one-to-one meetings, providing an opportunity to explore chargeback management, fraud detection, device intelligence and wider fraud-prevention technologies.
Related Reading
This is the first article in our October Chargebacks series.
The follow-up will move from selecting the right technology into day-to-day optimisation: how fraud and payments teams can reduce chargeback ratios through stronger evidence, better customer communication, pre-dispute resolution and feedback from dispute outcomes.
Sources
- GOV.UK – Payment Obligations and Chargebacks – https://www.gov.uk/invoicing-and-taking-payment-from-customers/payment-obligations
- GOV.UK Pay – Disputes – https://docs.payments.service.gov.uk/disputes/
- Checkout.com – Prevent Fraud, Chargebacks and Disputes – https://support.checkout.com/hc/en-us/articles/14327103024530-Prevent-fraud-chargebacks-and-disputes
- Checkout.com – Reducing Disputes – https://support.checkout.com/hc/en-us/articles/25824135686418-What-can-I-do-to-reduce-the-number-of-disputes-raised-against-me
- Checkout.com – Disputes – https://www.checkout.com/products/disputes
- Fingerprint – https://fingerprint.com/
- SEON – Fraud Prevention – https://seon.io/products/fraud-prevention/
Image credit: https://unsplash.com/photos/young-man-using-smartphone-and-credit-card-for-online-shopping-FkHW0ZCy094
