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22/08/2026 12:00 pm
TL;DR: Payment fraud and chargebacks are no longer separate operational problems, with Sift’s analysis showing a 19% year-over-year rise in chargebacks and merchants absorbing $4.61 in losses for every fraud dollar once fees and merchandise are included. The practical shift is from card-testing defence alone to layered checkout controls, dispute evidence, and policies that distinguish true fraud from first-party misuse.
NHIMG editorial — based on content published by Sift: How to Prevent Payment Fraud and Chargebacks in Ecommerce
By the numbers:
- Overall chargebacks rose 19% year-over-year in Sift’s Q2 2026 Digital Trust Index.
- Merchants lose $4.61 for every dollar of fraud once fees, fines, and lost merchandise are included.
- 62% of merchants reported an increase in first-party misuse disputes in the Merchant Risk Council’s 2026 report.
Questions worth separating out
Q: How should fraud teams handle chargebacks differently from true payment fraud?
A: Treat them as separate problems with separate controls.
Q: Why do first-party misuse disputes change ecommerce fraud strategy?
A: Because the customer is often real, checkout screening alone cannot solve the issue.
Q: How do you know if risk-based friction is working in checkout flows?
A: It should reduce fraud losses without sharply increasing cart abandonment or false positives.
Practitioner guidance
- Separate dispute types in your fraud taxonomy Classify true fraud, first-party misuse, refund abuse, and account takeover into different queues and ownership paths so controls, evidence, and staffing match the real problem.
- Deploy layered signals at checkout Combine device intelligence, behavioural analysis, and velocity checks before authorisation so the platform can distinguish a rushed automated attack from normal shopper behaviour.
- Preserve dispute evidence at transaction time Capture login history, delivery proof, device context, and order patterns in a structured record as each purchase completes.
What's in the full article
Sift's full guide covers the operational detail this post intentionally leaves for the source:
- Practical checkout tuning guidance for device, behavioural, and velocity signals that fraud teams can apply in production.
- Examples of how to route low, medium, and high-risk orders into different challenge and review paths.
- Dispute-response considerations for evidence packaging, billing descriptors, and refund workflows.
- Operational use of Sift Score and Workflows for teams that need implementation detail beyond the governance model.
👉 Read Sift's guide on preventing payment fraud and chargebacks in ecommerce →
First-party misuse and chargebacks: what fraud teams need to change?
Explore further
22/08/2026 12:02 pm
First-party misuse is a governance problem, not just a fraud-loss problem. Merchants that classify every dispute as stolen-card fraud create blind spots in controls, staffing, and evidence handling. The distinction matters because the remediation path for a genuine card thief is different from the path for a legitimate customer who disputes a valid order. Practitioners should treat dispute taxonomy as a control boundary, not an accounting label.
A question worth separating out:
Q: Who is accountable when chargeback recovery performance declines?
A: Accountability should sit with the team that owns the end-to-end dispute workflow, not with individual analysts alone. That ownership must cover evidence standards, submission timing, exception handling, and reporting. Without a clear owner, losses tend to be blamed on volume rather than process quality.
👉 Read our full editorial: Payment fraud and chargebacks are converging in ecommerce
