Install on Shopify
Chargebacks will cost eCommerce merchants $33.79 billion globally in 2025, projected to reach $41.69 billion by 2028, a 23% increase in three years (Mastercard, 2026 State of Chargebacks Report). For US merchants specifically, every dollar lost to fraud costs $4.61 in total losses when accounting for fees, operational costs, and lost merchandise (LexisNexis Risk Solutions, True Cost of Fraud Study 2024). The individual eCommerce chargeback averages $84 in transaction value, but the true cost per dispute reaches $315 when including fees, staff labour, and consequential damages (Opensend, 2026).
Most Shopify merchants approach chargebacks with a single tool: Shopify's built-in fraud analysis. That analysis is valuable as a first filter, but it was designed for a world where most fraud looked like a human impersonating another human at a checkout form. In 2026, the fraud landscape is significantly more complex, and the basic risk score misses two of the largest and fastest-growing chargeback categories entirely. This article covers what those categories are, what the data shows about where chargeback risk is actually coming from, and what a multi-layer prevention approach looks like in practice.
The Chargeback Landscape Has Fundamentally Changed
The dominant narrative around chargebacks is that they are a fraud problem, an unauthorized party using stolen card details to make a purchase. True fraud does exist and is growing, but it is no longer the majority of what merchants deal with.
First-party fraud (also called friendly fraud) now represents 36% of all reported fraud globally in 2024, up from just 15% in 2023, a 140% increase in a single year, representing a $132 billion risk to eCommerce (Sift Q4 2025 Digital Trust Index). Friendly fraud occurs when a customer who made a legitimate purchase disputes the charge with their bank, claiming it was unauthorized or that they did not receive the product, despite having received it.
The psychology behind friendly fraud is revealing. According to chargeback.io's 2026 statistics research:
84% of customers say filing a chargeback feels easier than requesting a refund from the merchant
72% see no real difference between a chargeback and a refund
52% skip contacting the merchant entirely before filing a dispute
That 52% figure is the most operationally significant. More than half of chargeback disputes are filed by customers who never gave the merchant an opportunity to resolve the issue first. The chargeback was not a last resort. It was the first action.
This matters for prevention strategy because true fraud and friendly fraud require entirely different responses. Basic fraud tools, including Shopify's risk scoring, are designed to catch pre-transaction indicators of third-party fraud. They have no mechanism to prevent a post-transaction dispute filed by a legitimate customer who received their order and chose to dispute it anyway.
What Shopify's Built-In Fraud Analysis Does and Does Not Do
Shopify's fraud analysis evaluates each order and assigns a risk level (low, medium, high) based on a combination of transaction signals: payment method characteristics, billing and shipping address relationships, email domain indicators, order velocity from the same profile, and, for orders placed through the standard checkout, behavioural signals from the checkout session.
For standard checkout orders, this system is a useful first filter. It catches a meaningful percentage of third-party fraud attempts before fulfilment. Its limitations are:
It does not address friendly fraud. A customer with valid payment credentials, a legitimate billing address, and normal purchasing behaviour will receive a low risk score regardless of whether they intend to dispute the charge after receiving the product. Shopify's analysis has no way to detect future intent.
It does not operate on orders that bypass the checkout. As discussed in prior articles, AI-sourced orders through Shopify Agentic Storefronts, TikTok Shop, and other social commerce channels arrive at the order layer without passing through a checkout UI. The behavioural signals that inform a significant portion of Shopify's risk score are absent on every such order.
Merchants win only 45% of chargebacks on average (PayCompass, 2025). Relying on disputing chargebacks after they occur is not a viable strategy at any meaningful volume.
"Merchants say all types of chargebacks have increased over the past 12 months, with 80% of chargebacks stemming from fraud. 56% of merchants report chargeback volume increased over 10% in 2024."
Layer 1: Pre-Transaction Signal Combination Evaluation
Shopify's fraud score is a single metric. Effective pre-transaction fraud prevention requires evaluating signal combinations, because individually unremarkable signals become significant when they appear together on the same order.
The signal combinations that warrant pre-fulfilment review:
Billing and shipping address mismatch + first-time buyer + high order value. Any one of these signals is common on legitimate orders. All three together on the same order is a pattern that warrants holding before the label prints. A first-time buyer paying $400 and shipping to a different address than their billing profile has none of the trust signals that a repeat customer builds over time.
Freight forwarder shipping address + high order value. Freight forwarder addresses are used legitimately by international customers who consolidate shipments. They are also used in fraud schemes where packages are routed to a controlled address for retrieval. The combination of a freight forwarder address and a high-value order on a first transaction is a pattern that does not require immediate cancellation but does require review before fulfilment.
Velocity clustering from the same billing profile. Multiple orders from the same customer within a short window can indicate a legitimate bulk purchase, but can also indicate a fraudster testing a card with small orders before a larger one, or an account takeover scenario where a compromised profile is being used quickly before the legitimate cardholder notices.
Email domain from a disposable or newly registered domain. Fraudsters frequently use disposable email addresses to avoid email-based identity verification. Most consumer purchases use recognisable email providers (Gmail, Outlook, Yahoo, iCloud). An order from a domain that was registered 30 days ago or that is associated with a known disposable email service is a signal worth weighting.
The critical discipline is evaluating these signals in combination, not in isolation, and having a defined response for each combination level: pass through, auto-hold for review, contact customer for verification, or cancel.
Layer 2: Preventing Friendly Fraud Through Documentation and Communication
Friendly fraud cannot be prevented pre-transaction because it is committed by legitimate customers. It can be prevented post-transaction through documentation practices that make a chargeback dispute difficult to win and customer communication practices that reduce the motivation to file one.
The documentation that wins chargeback disputes:
Visa's Compelling Evidence 3.0 framework, implemented in 2023, specifically addresses friendly fraud by requiring cardholders to demonstrate the disputed transaction is inconsistent with their prior transaction history. Merchants who maintain evidence of prior purchases, delivery confirmations, and customer communication logs are significantly better positioned to challenge friendly fraud chargebacks under this framework.
For every order, the evidence that matters in a dispute:
Delivery confirmation with tracking number and carrier timestamp
Signed delivery confirmation (for high-value orders)
IP address and device fingerprint at the time of purchase
Email correspondence history with the customer, including any delivery confirmations sent
Product photos or screenshots of what was ordered versus what was shipped
Any post-delivery communication from the customer that demonstrates they received the product
"First-party fraud is now the world's most prevalent fraud type. It represents 36% of all reported fraud in 2024, up from just 15% a year earlier, on top of a $132 billion risk to e-commerce."
Proactive delivery communication reduces chargeback motivation. The most common reasons customers give for filing chargebacks are: delayed delivery (18%), perceived unethical merchant behaviour (17%), and confidence that the card issuer would reverse the charge (12%) (Sift, Q4 2025). Delayed delivery is preventable through proactive tracking communication, a customer who receives shipping updates is less likely to conclude their package is lost and file a dispute. Perceived unethical merchant behaviour is addressed through clear policies, responsive support, and a straightforward refund process that gives the customer no reason to bypass the merchant and go directly to their bank.
Layer 3: Clear Billing Descriptors and Purchase Recognition
A significant percentage of chargebacks are filed not from intent to defraud but from genuine failure to recognise the charge on a bank statement. If your Shopify store's billing descriptor, the name that appears on the customer's credit card statement, does not clearly match your store name, customers may file a dispute believing the charge is unauthorised.
This is a surprisingly common source of chargebacks for Shopify stores where the merchant's legal business name (which appears on billing statements) differs significantly from the store name that customers recognise. A store named "The Candle Workshop" operated by a legal entity called "Williams Retail Holdings LLC" will appear as "WILLIAMS RH" or a similar truncation on many bank statements. Customers who do not recognise that descriptor file disputes.
Shopify allows merchants to configure their billing descriptor through the payment settings. The descriptor should match the name customers associate with the purchase as closely as possible, including a recognisable domain or product name where the business name is ambiguous.
Mastercard and Visa both support enhanced billing descriptors that include a URL alongside the merchant name, making the source of the charge unmistakable on the customer's statement. This is one of the simplest and most effective chargeback prevention measures available, and it requires no technical work beyond updating a setting.
Layer 4: A Frictionless Refund Process as Chargeback Prevention
The 52% of customers who file a chargeback without contacting the merchant first are making a rational choice based on their expectation of the merchant's response. If requesting a refund feels difficult, a hidden email address, a returns policy that requires explaining and negotiating, a 5-7 business day response window, the chargeback becomes the path of least resistance.
Making refunds easier than chargebacks is one of the most effective chargeback prevention strategies available. This means:
A visible, accessible refund request mechanism. A dedicated email address for refund requests, prominently displayed in the order confirmation email, the post-purchase follow-up sequence, and the tracking notification. Not a contact form that goes to a general inbox. A direct path.
A response time commitment. Customers who receive a response within 24 hours are significantly less likely to escalate to a dispute. A response that acknowledges their request and provides a timeline for resolution, even if the resolution itself takes longer, resets the customer's patience.
A no-questions refund policy for a defined window. The cost of refunding a questionable return is typically less than the cost of a chargeback on the same order. For orders under a defined value threshold, a policy of "if you're not satisfied, we refund" eliminates the friction that motivates customers to go around you and go directly to their bank.
"65.3% of friendly fraud cases are a result of buyer's remorse, a customer making a purchase and then regretting it. This could be because they're not satisfied with the product or that they made an impulsive purchase."
Buyer's remorse that cannot resolve itself through a simple refund request becomes a chargeback. Buyer's remorse that resolves in 24 hours through a frictionless refund process costs you the product margin and saves you the $315 true cost of a dispute.
Layer 5: Chargeback Alerts and Real-Time Dispute Monitoring
For merchants whose chargeback volume justifies the investment, chargeback alert services provide notification of a dispute before it becomes a formal chargeback. Visa's Rapid Dispute Resolution (RDR) and Mastercard's Collaboration program allow merchants to issue a refund automatically when a dispute is detected, preventing the dispute from escalating to a chargeback and avoiding the associated fees.
For merchants operating near chargeback thresholds, this is operationally significant. Visa's new Visa Acquirer Monitoring Program (VAMP), which replaced previous monitoring programs as of April 2025, sets the "excessive" threshold at 0.9% of transactions as of January 1, 2026, with a $10 fee per disputed transaction for merchants above the limit. For a store processing 1,000 transactions per month, staying below 9 chargebacks avoids VAMP fees. Alert services that enable automatic refunds on borderline disputes can be the difference between staying below that threshold and triggering monitoring program fees on top of the dispute costs.
Layer 6: Order-Level Validation Before Fulfilment
The most cost-effective point to prevent a chargeback is before the order ships. An order that ships to an incorrect address, a freight forwarder with a disconnected beneficial owner, or a profile with a history of previous disputes is an order that has a significantly higher probability of generating a chargeback than an order that passed pre-fulfilment validation.
Post-order, pre-fulfilment validation, catching signal combinations at the order layer before the warehouse commits to the job, is the intervention point where the cost of resolution is zero. The same order caught after the carrier has the package costs the carrier fee, the reshipment, the support ticket, and potentially the chargeback fee if the customer disputes regardless of whether the delivery eventually succeeded.
Global chargeback volume is projected to reach 337 million transactions by 2026, a 42% increase from 2023 levels (Mastercard, Datos Insights). The growth trajectory means that merchants who do not have a systematic order-layer validation process are facing a rising tide of exposure with no structural response to it.
Tacey is an AI order agent for Shopify that evaluates nine fraud signal combinations on every order the moment it is placed, regardless of channel. Billing and shipping address mismatch, first-time buyer with high order value, freight forwarder shipping address, suspicious email domain patterns, and the combination of these signals that individually appear unremarkable but together indicate an order worth holding before fulfilment. Orders that carry a fraud signal combination are automatically held and routed to the merchant's Escalation Queue with full AI reasoning attached, the specific signal combination, the order details, and the recommended action. The merchant decides whether to release, contact the customer, or cancel. The warehouse never sees the order until the decision is made.
What Chargeback Rate Thresholds Mean for Your Business
Understanding the card network thresholds is practical risk management for any Shopify merchant doing meaningful volume:
Visa VAMP excessive threshold: 0.9% of transactions (as of January 1, 2026), with a $10 fee per disputed transaction above the limit
Mastercard Excessive Chargeback Merchant: 1.5% or higher (100+ chargebacks per month), with fees of $1,000 per month for months 2–3 and $5,000 per month for months 4–6
Industry average chargeback rate: 0.56% to 1% across all industries (chargeback.io, 2026)
For a store processing 1,000 orders per month, staying below the Visa VAMP threshold means keeping chargebacks below 9 per month. At the industry average eCommerce chargeback rate, that is achievable. At the elevated rates some DTC categories see, apparel and cosmetics represent 20% of all disputes (Opensend, 2026), without active prevention, it is not.
The merchants who stay below these thresholds consistently are not the ones with the fewest disputes by luck. They are the ones running systematic prevention across all six layers: pre-transaction signal evaluation, delivery documentation, recognisable billing descriptors, accessible refund processes, dispute alerts where warranted, and order-layer validation before fulfilment.
