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12/07/2026 12:24 pm
TL;DR: Chargeback fraud is rising alongside e-commerce, with Mastercard projecting global chargeback volume above 335 million by 2026, a 42% increase from 2023, while merchants paid an estimated $100 billion in chargebacks in 2023, according to Sift. The real security challenge is not just dispute handling but identity and intent verification at transaction time, where first-party fraud and account takeover blur together.
NHIMG editorial — based on content published by Sift: How to prevent chargeback fraud in online stores
By the numbers:
- Global chargeback volume will exceed 335 million by 2026, a 42% increase from 2023’s numbers.
- 43% of U.S. consumers admitted to disputing legitimate charges.
Questions worth separating out
Q: How should payment teams reduce chargeback fraud without blocking too many legitimate customers?
A: Use layered decisioning that combines payment history, device reputation, location consistency, and support behaviour instead of relying on a single fraud score.
Q: Why do first-party fraud cases often get missed by traditional fraud controls?
A: Because the transaction itself looks normal.
Q: What signals help distinguish a legitimate refund request from chargeback abuse?
A: Look for whether the customer tried to resolve the issue through support, whether the complaint matches prior purchase behaviour, whether the account has a history of rapid disputes, and whether the transaction aligns with device and location history.
Practitioner guidance
- Strengthen first-party fraud evidence collection Capture refund requests, support tickets, device history, and purchase context so dispute teams can distinguish genuine service problems from intentional chargebacks.
- Correlate identity and payment signals at checkout Combine location, payment frequency, account age, and historical card usage into a single decision layer for higher-confidence approvals and review.
- Preserve dispute-ready records by default Retain transaction logs, customer support interactions, and fulfillment evidence in a format that can be produced quickly during issuer disputes.
What's in the full article
Sift's full analysis covers the operational detail this post intentionally leaves for the source:
- Chargeback decisioning examples for retail, software, and subscription businesses with different risk tolerances
- Operational guidance on using customer service workflows to reduce preventable disputes
- Details on Sift's Global Data Network, including signal volume and decision transparency
- Examples of workflow thresholds and review logic for suspicious transactions
👉 Read Sift's analysis of chargeback fraud prevention in online stores →
Chargeback fraud in online stores: what payment teams need to know?
Explore further
12/07/2026 12:37 pm
Chargeback fraud is an identity verification problem as much as it is a payment problem. The article shows that the buyer can be real, the transaction can be completed, and the loss can still be fraudulent if intent is misrepresented later. That makes the trust boundary extend beyond checkout into the dispute lifecycle. For practitioners, the control question is whether identity and behavioural evidence are strong enough to show legitimate intent before the chargeback window opens.
A question worth separating out:
Q: How do subscription businesses defend against chargeback fraud more effectively?
A: They need clearer renewal notices, better cancellation records, and usage evidence that can survive a dispute. If a service is intangible, the defence depends on proving access, billing transparency, and customer interaction before the cardholder claims the charge was unauthorised or forgotten. Strong records usually decide the case.
👉 Read our full editorial: Chargeback fraud is scaling with e-commerce growth and weak verification
