A chargeback usually arrives after the damage has already been done.
The order was accepted. The merchandise shipped. The customer received the product. Then, days or weeks later, the cardholder disputes the transaction.
At that point, the merchant is trying to recover revenue rather than protect it.
That is why effective chargeback prevention starts much earlier: before a risky order leaves the warehouse.
The distinction is becoming increasingly important. Mastercard projects global chargebacks will reach approximately 324 million annually by 2028, up 24% from 2025 levels. Merchants in its research identified 45% of their chargebacks as fraudulent.
At the same time, chargeback risk is expanding beyond traditional stolen-card fraud. The Merchant Risk Council’s 2026 Global eCommerce Payments & Fraud Report found that 62% of merchants reported an increase in first-party misuse disputes, while refund and policy abuse remains a significant post-purchase problem.
For Shopify merchants, reducing chargebacks requires understanding what is causing them, identifying risky behavior early and deciding which orders should actually be fulfilled.
What is a chargeback?
A chargeback occurs when a cardholder disputes a transaction with their bank and the payment is reversed through the card network.
Unlike a normal refund, the customer does not necessarily resolve the issue directly with the merchant.
Chargebacks can occur for many reasons, including:
A stolen credit card was used
The cardholder does not recognize the transaction
A customer claims an order never arrived
A customer says an item was damaged or not as described
A recurring payment was not canceled as expected
A customer disputes a legitimate purchase
The merchant made a billing, fulfillment or customer-service error
Shopify recommends that merchants review their chargebacks by reason because different causes require different prevention strategies.
That is an important point: not every chargeback is the same type of fraud, and not every chargeback is fraud at all.
True fraud vs. friendly fraud vs. refund abuse
Understanding the source of the dispute is the first step toward preventing it.
True fraud
True fraud generally involves an unauthorized transaction.
For example, a fraudster obtains stolen payment credentials, purchases a product and ships it to themselves or another destination. When the legitimate cardholder discovers the transaction, they dispute it.
If the merchandise has already shipped, the merchant can potentially lose both the product and the payment.
Shopify specifically recommends reviewing suspicious and high-risk orders before fulfillment to reduce this exposure.
Friendly fraud or first-party misuse
Friendly fraud occurs when the actual cardholder disputes a transaction that they, or someone they authorized, made.
Sometimes the dispute is accidental. A customer might:
Forget making the purchase
Fail to recognize the merchant descriptor
Have a spouse or family member make the purchase
Contact their bank instead of the merchant
Other cases are intentional.
A customer might receive a product and then claim the transaction was unauthorized or that the merchandise never arrived.
The industry increasingly refers to intentional forms of this behavior as first-party misuse.
This is becoming a larger merchant problem. The Merchant Risk Council reported that a majority of ecommerce merchants are seeing increased first-party misuse disputes.
Refund and policy abuse
Not every costly form of customer abuse becomes a traditional payment chargeback.
Customers can also exploit merchant refund, return and promotional policies.
Examples include:
Claiming an item never arrived when it did
Returning a used product
Returning a different product
Manipulating shipment or tracking information
Repeatedly requesting refunds
Creating multiple accounts to abuse promotions
Circumventing purchase or quantity limits
The 2026 MRC report found refund and policy abuse was the most commonly reported fraud type, affecting 41% of surveyed merchants. Among merchants experiencing this abuse, false claims that goods were not received were the most frequently cited pattern.
These behaviors matter because chargeback prevention should not be isolated from broader customer-abuse detection.
The same customer behavior that leads to repeated refunds today can become a payment dispute tomorrow.
Merchant error
Some chargebacks are preventable without sophisticated fraud detection.
A customer might dispute a transaction because:
The billing descriptor is confusing
Shipping took longer than expected
Tracking information was inaccurate
The product was substantially different from its description
A subscription was not canceled properly
The customer could not reach support
Good fraud prevention therefore works alongside clear policies, reliable fulfillment, recognizable billing descriptors and responsive customer service.
Shopify recommends all of these practices as part of reducing chargebacks.
Fighting a chargeback is not the same as preventing one
Once a chargeback is opened, a merchant can submit evidence.
That evidence might include:
Order details
Customer communications
Billing information
IP information
Shipping records
Tracking and delivery confirmation
Proof that the customer previously used the account
Documentation showing the merchant followed its policies
Strong evidence can improve the chances of successfully challenging a dispute.
But that is chargeback management, not chargeback prevention.
The merchant has already spent time fulfilling the order and now must spend additional time investigating and responding to the dispute.
And winning is never guaranteed. Shopify notes that although merchants can submit evidence, the decision to reverse the payment ultimately rests with the cardholder’s issuing bank.
Preventing a bad transaction from reaching fulfillment changes the economics completely.
Instead of asking:
How do we recover this transaction?
The merchant asks:
Should we ship this order in the first place?
The real cost of a chargeback goes beyond the transaction
A $200 fraudulent order does not necessarily cost a merchant only $200.
The merchant might also lose:
The merchandise
Shipping and fulfillment costs
Payment processing costs
Chargeback or dispute fees
Employee time spent investigating
Customer-service time
Inventory availability
Marketing acquisition spend associated with the order
There can also be broader consequences if chargeback rates become too high.
Shopify warns that fulfilling high-risk orders can contribute to elevated chargeback levels, which can ultimately lead to payment-processing issues or removal from Shopify Payments.
The broader economics of fraud reinforce this point.
The 2026 LexisNexis True Cost of Fraud Study found that U.S. retail and ecommerce businesses incur approximately $5.13 in total costs for every $1 of direct fraud loss. More than half of U.S. merchants surveyed also reported increased customer churn associated with anti-fraud measures, illustrating why merchants need to reduce fraud without creating unnecessary friction for legitimate buyers.
The objective is therefore not simply to block more transactions.
It is to make better decisions about which transactions to trust.
Warning signs to review before shipping an order
No single signal automatically means an order is fraudulent.
A legitimate customer can ship a gift to another address. Someone traveling can place an order from an unusual location. A loyal customer can suddenly make a much larger purchase.
Risk becomes more meaningful when multiple signals begin to tell the same story.
Before fulfilling a suspicious order, merchants should consider factors such as:
Billing and shipping inconsistencies
Does the shipping information make sense in the context of the buyer?
A mismatch is not proof of fraud, but it can become more significant when combined with other unusual behavior.
IP and geographic inconsistencies
Does the location from which the order was placed align with the billing, shipping or customer information?
Multiple payment attempts
Repeated attempts using different cards can indicate card testing or an attempt to find valid stolen payment credentials.
Unusual order velocity
Has the buyer placed multiple orders within a short period?
Are multiple accounts placing orders to the same address, device or identity?
New or suspicious identity information
Look at the broader consistency of the email, phone, address and other information associated with the buyer.
Unusual purchase behavior
A customer’s basket can provide useful context.
A suddenly large order, unusually high quantities of easily resold products or purchasing behavior inconsistent with normal customers may warrant additional review.
Previous refunds, disputes or returns
A transaction can look normal when viewed in isolation.
The buyer’s history might tell a different story.
Repeated refunds, returns, delivery claims, disputes or attempts to circumvent merchant policies can indicate a broader abuse pattern.
Shopify’s fraud analysis already provides merchants with information such as AVS results, CVV checks, IP details and unusual purchasing activity. Third-party fraud tools can add additional identity, behavioral and relationship context to the order.
Approve, review, hold or cancel
Chargeback prevention does not mean automatically canceling anything that looks unusual.
A better approach is to create a clear decision workflow.
Approve
The evidence indicates the customer and transaction are likely legitimate.
The order proceeds to fulfillment.
Review
Something about the transaction is unusual, but there is not enough evidence to conclude that the order is fraudulent.
The merchant reviews the supporting risk information or verifies the customer.
Hold
The order presents enough risk that it should not proceed to fulfillment until the merchant has completed additional verification.
For merchants using appropriate payment configurations, manual payment capture can also provide additional time to review suspicious orders before capturing funds.
Cancel
The available evidence indicates the transaction presents an unacceptable level of fraud or abuse risk.
The order is canceled before the merchant ships the merchandise.
Shopify Flow can also automate portions of this process, including holding or canceling high-risk orders and capturing payments on lower-risk transactions.
The key is making the decision before fulfillment whenever possible.
Why automatically canceling every high-risk order can backfire
Stopping fraud matters.
So does approving legitimate revenue.
An aggressive prevention strategy that automatically cancels every unusual order can create another expensive problem: false positives.
A high-value order is not inherently fraudulent.
Neither is an international customer, an address mismatch or a new device.
The more useful question is whether the combination of identity, payment, device, location, historical and behavioral information supports the transaction.
This is why contextual fraud detection can provide an advantage over relying only on individual rules.
Merchants need enough evidence to confidently stop risky transactions without unnecessarily rejecting good customers.
Can chargeback protection or insurance solve the problem?
Chargeback protection can be useful, but merchants should understand what is being protected.
Programs such as Shopify Protect can protect certain eligible Shop Pay transactions against qualifying fraudulent and unrecognized chargebacks when program requirements are met.
Other providers may offer chargeback guarantees or similar financial protections.
These services can reduce the merchant’s financial exposure to covered disputes.
But coverage and prevention solve different problems.
A guarantee may absorb the financial loss associated with an eligible chargeback. It does not necessarily identify:
Refund abuse
Return abuse
Promotion abuse
Reseller activity
Account relationships
Suspicious customer behavior
Other transactions that fall outside the protection criteria
The underlying customer or fraud pattern can therefore continue even when an individual chargeback is financially covered.
For merchants trying to understand who they should trust, prevention remains important.
Chargeback alerts and dispute management are still valuable
Prevention will never eliminate every chargeback.
Merchants should still have processes for:
Receiving dispute notifications
Responding quickly
Collecting supporting evidence
Tracking delivery
Maintaining customer communications
Understanding dispute reason codes
Monitoring their overall chargeback rate
Real-time dispute alerts can sometimes allow merchants and issuers to resolve a problem before it progresses further through the chargeback process.
Mastercard reported in 2026 that approximately 60% of payment disputes escalate into chargebacks, highlighting the opportunity to resolve disputes earlier when possible.
But dispute tools operate after the transaction has occurred.
They are the second line of defense.
Order-level fraud prevention is the first.
A better chargeback-prevention strategy for Shopify
An effective Shopify chargeback strategy should operate across the entire order lifecycle.
Before fulfillment
Evaluate the transaction, identity and buyer behavior.
Review suspicious orders and decide whether to approve, hold or cancel them.
During fulfillment
Use reliable shipping methods, accurate tracking and delivery confirmation.
Keep customers informed about delays.
After delivery
Watch for unusual refund, return and customer-service patterns.
Make it easy for legitimate customers to resolve problems directly with your store.
When a dispute occurs
Respond with clear, organized evidence and learn from the result.
Then feed that information back into future order decisions.
The goal is a continuous process:
Detect → Decide → Act → Learn
Each chargeback, refund, return and review decision should make the merchant better at identifying the next risky transaction.
How Alogram helps prevent chargebacks before fulfillment
Alogram AI Payment Fraud Blocker is designed to help Shopify merchants identify risky behavior before an order ships.
Alogram evaluates multiple types of intelligence around the transaction, including:
Buyer behavior
Identity information
Device and location intelligence
Transaction characteristics
Billing and shipping inconsistencies
Suspicious relationships and patterns
Refund and return behavior
Reseller activity
Promotion abuse
Instead of simply telling a merchant that something looks unusual, Alogram provides explainable order-level evidence to help determine whether an order should be:
Approved. Reviewed. Held. Or canceled.
This can work alongside Shopify’s existing fraud analysis and merchant workflows rather than requiring merchants to replace the tools they already use.
The objective is straightforward:
Identify risky behavior before inventory leaves the warehouse.
Final thoughts
Chargebacks are often treated as a problem that begins when the merchant receives a dispute notification.
By then, the merchant may already have lost the most important opportunity to prevent the loss.
The better question happens earlier:
Should we fulfill this order?
For Shopify merchants, effective chargeback prevention means combining fraud analysis, behavioral and identity intelligence, targeted automation, strong fulfillment practices and post-purchase monitoring.
Some chargebacks will still happen.
Some should be fought with strong evidence.
Some may be covered by chargeback-protection programs.
But when fraud or abuse can be identified before fulfillment, preventing the risky order in the first place is usually better than trying to recover the loss afterward.
Sources
Shopify, Managing high-risk orders with Shopify Flow
Merchant Risk Council, 2026 Global eCommerce Payments & Fraud Report
LexisNexis Risk Solutions, 2026 True Cost of Fraud
Mastercard, updated global chargeback outlook
Mastercard, dispute resolution and chargeback alerts
Shopify App Store, Alogram Payment Fraud Blocker
The Fraud Brief explores fraud, payments, identity and risk in a world increasingly shaped by AI.
Written by d’Artagnan Osborne, Founder of Alogram, where we are building real-time fraud and payment risk decisioning for modern commerce.