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22/07/2026 4:35 pm
TL;DR: Fraud control now extends across the full customer journey, not just checkout, and identity signals matter at scale, according to Signifyd. Its Shopify-focused fraud coverage spans card-not-present chargebacks, non-fraud disputes, returns and abuse cases, while also helping merchants stay under Visa’s newly lowered 1.5% VAMP threshold, with results framed around approval rates and dispute reduction.
NHIMG editorial — based on content published by Signifyd: Guaranteed Fraud Protection for Shopify Merchants: Signifyd (2026)
By the numbers:
- Signifyd says its network recognises identities behind 98% of online purchases.
- Signifyd says it has protected more than $10.9 billion in GMV over the past year alone.
- Signifyd says merchants like Carbon38 achieved a 99% approval rate after automating order review.
Questions worth separating out
Q: How should merchants govern fraud decisions across the full customer journey?
A: Merchants should align account creation, login, checkout, returns and dispute handling under one policy model so the same identity and behavioural signals inform each decision.
Q: Why do disputes and returns belong in the same fraud programme?
A: Because both are downstream expressions of trust.
Q: How do security and fraud teams know if AI fraud scoring is working?
A: They should look for stable approval rates, lower false positives, consistent reason codes and a defensible review trail.
Practitioner guidance
- Map fraud controls to the full customer journey Review whether account creation, login, checkout, returns and dispute handling share the same risk signals or operate as separate tools with conflicting decisions.
- Tie governance to dispute ratios, not only case counts Track the merchant threshold that matters to your acquiring and card-network relationships, then align fraud policy changes to that metric.
- Demand explainable decision records for high-value fraud actions Require reason codes and review trails for approvals, declines and escalations so operations can defend outcomes and refine policy.
What's in the full article
Signifyd's full post covers the operational detail this analysis intentionally leaves for the source:
- Merchant case-study outcomes by brand, including approval rate changes and chargeback reduction figures.
- How the guarantee model applies across card-not-present disputes, return abuse and promo abuse.
- The specific way Signifyd frames Visa VAMP threshold management without a separate dashboard.
- Customer review excerpts and implementation examples from Shopify merchants already using the service.
👉 Read Signifyd's post on guaranteed fraud protection for Shopify merchants →
Shopify fraud protection and VAMP thresholds: what teams need now?
Explore further
22/07/2026 4:39 pm
Fraud governance is increasingly an identity problem, not just a payments problem. The article shows how checkout, account trust, returns and disputes now sit on the same control path. Once identity confidence influences whether a claim is accepted or rejected, fraud teams are effectively operating an identity assurance programme. Practitioners should treat merchant fraud controls as part of the broader identity governance surface.
A question worth separating out:
Q: Who is accountable when a merchant’s dispute ratio exceeds network thresholds?
A: Accountability should sit with the team that owns the merchant risk metric, not just the team operating the fraud tool. Card-network thresholds are a governance issue because they affect acceptance, cost and programme health. The clearest structure is to assign one owner for dispute ratio outcomes across fraud, returns and chargebacks.
👉 Read our full editorial: Shopify fraud protection now spans disputes, returns and VAMP
