A card-not-present fraud dispute says the cardholder did not authorize the transaction. Proof that you shipped the order is not always enough. The evidence needs to connect the transaction to the cardholder or an established customer relationship under the applicable network and processor rules.
Save the payment-authentication record
Capture what your processor exposes: - authorization result; - AVS result; - CVC result; - 3-D Secure/authentication status; - card fingerprint/token identifiers; - billing address; - customer account; - transaction IP/device/session identifiers.
Do not treat AVS or CVC as proof of identity. A fraudster can possess correct card data. These signals become stronger when several independent details match established customer behavior.
Compare with prior undisputed transactions
If the same customer account or payment credential has successful undisputed history, create a table showing: - dates; - amounts; - billing/shipping address; - device/IP pattern where appropriate; - products; - prior delivery; - whether earlier charges were disputed.
Card networks have specific “compelling evidence” frameworks in some fraud scenarios. Use your processor’s dispute interface to determine which fields are eligible; do not invent your own network standard from a blog post.
Fulfillment still matters
For physical goods, include tracking and delivery to the checkout address, especially when it matches prior orders.
For digital goods, show account login, download/use, device, IP, and customer communications. PayPal describes compelling evidence for intangible delivery as system records showing the item was electronically sent, received, or accessed.
For high-risk physical transactions, signature and pickup verification can strengthen the record.
Look for account takeover
A long-standing customer account can still be compromised. Compare the disputed order with account history: - password reset before purchase; - new device; - new shipping address; - email change; - sudden high-value order; - expedited shipping; - unusual product mix.
If the fraud pattern looks real, contesting merely because the account existed may be a bad decision. Use the incident to secure the account and notify the customer appropriately.
Do not turn fraud evidence into surveillance claims
An IP geolocation estimate is not proof that the cardholder was physically present. A device cookie can be shared or stolen. A billing/shipping match can be created with compromised data.
Write evidence precisely: “the transaction used the same customer account and device identifier as three prior undisputed purchases,” not “IP proves the customer did it.”
Precision is more credible to an issuer reviewer.
Prevention belongs at authorization time
Use processor fraud controls, 3-D Secure where appropriate, AVS/CVC checks, velocity rules, device/account risk, and manual review for unusual high-value orders.
Do not blindly decline every mismatch. False positives cost sales. Build rules around combinations of risk signals and business loss history.
Monitor fraud chargebacks by product, acquisition channel, country, device pattern, and fulfillment method.
Understand monitoring exposure
Visa’s VAMP program now combines specified fraud and dispute counts into a ratio for card-not-present VisaNet transactions, with region-specific thresholds. In the U.S. and several other regions, the published Excessive Merchant threshold was reduced to 150 basis points effective April 1, 2026, subject to a monthly count threshold and program definitions.
Your processor may act sooner based on its own risk policy. Fraud prevention should not wait until the network sends a monitoring notice.
The best fraud case is evidence-rich but modest in its claims: multiple authenticated and behavioral facts line up with an established customer and valid fulfillment. When the facts instead show takeover or stolen card use, accept the lesson and improve authorization controls.
Resolve conflicting fraud signals before writing the rebuttal
Fraud cases often contain mixed signals. A transaction may use a familiar account but a new device, pass one authentication check but ship to a new address, or show normal browsing followed by an unusual rush order. Put conflicting facts in the case notes rather than selecting only the signals that favor representment.
Create a short contradiction table: signal, what it supports, what it does not prove, and whether it differs from prior undisputed activity. For example, a matching billing address supports consistency with card data but does not establish who typed it; a prior device match supports account continuity but can coexist with account takeover.
Use that table to decide whether the evidence forms a credible transaction-specific chain. If the strongest facts point to takeover or stolen-card use, the operational response is fraud remediation. If independent authentication, continuity, and fulfillment facts all support the transaction, summarize them precisely without turning any one signal into proof of identity.
Order the fraud packet by evidentiary weight
Lead with the records that are hardest to explain away: processor authentication details tied to the payment, prior undisputed transaction continuity where relevant, and transaction-specific fulfillment or usage. Put merchant fraud-score screenshots and general policies later because they describe screening processes rather than the disputed customer's actual authorization.
Create a one-page index that maps each factual statement to an exhibit. “Same device as prior undisputed order” should point to the two event records; “delivered to checkout address” should point to the carrier or pickup record. Redact unrelated customer history. The goal is a compact chain of corroborating facts, not a data dump. If the chain breaks—for example, new device, changed address, no successful authentication, and immediate account takeover signals—treat that as a fraud investigation rather than trying to make the packet sound stronger than the records are.