• BUILT FOR
  • Fraud & Trust and Safety
  • Risk & CISO
  • Finance & CFO
  • eCommerce & Digital

Returns Are Standard. Abuse Isn’t.

Returns are the cost of doing business online. What’s changed is how much of that volume is exploitation, not honesty — wardrobing, bracketing, decoy returns, and item-not-received claims that quietly erode margin behind the scenes.

19.3%

of online purchases are returned¹

9%

of all returns are fraudulent¹

45%

of shoppers say bending the rules is acceptable²

$107B

in projected eCommerce fraud by 2029³

Most fraud tools stop watching the moment checkout ends. That leaves a gap right where the risk is moving next — no return history, no link between a refund today and a red flag tomorrow. Merchants are left absorbing the cost: shipping and restocking fees, labor, markdowns, and a policy they can’t tighten without punishing the customers they most want to keep.

Meet Abuse Prevention

Accertify’s Purpose-Built Solution for Returns and Refund Abuse

Abuse Prevention picks up exactly where checkout fraud tools stop, turning every post-fulfillment event into a signal, and every signal into a decision you can act on with confidence.

It watches what happens after the sale — return requests, refund patterns, claims of items never received — and scores that behavior in real time. The result: you can tell your genuine customers from the small group exploiting your policies, and treat each one accordingly.

How It Works

From return request to a decision you can act on — in real time.

STEP 1

A customer starts a return.

The process begins the moment a return or refund request is triggered.

STEP 2

Return data flows to the Abuse Prevention API.

Merchants send adjustment data straight to Abuse Prevention, no manual pull required.

STEP 3

Abuse Prevention scores the risk, instantly.

Machine learning models flag excess returners and policy abusers in real time, drawing on device, identity, and behavioral signals.

STEP 4

You act with confidence.

Approve the refund, apply friction, or flag the account for future purchases, all backed by a clear, explainable score.

Stop Margin Loss

Keep margins healthy and your best customers happy. Abuse Prevention isolates abusive behaviors such as wardrobing, bracketing, and serial returning, so you can apply targeted enforcement instead of a blanket policy that penalizes everyone.

Detect Abuse Patterns Faster

Fraudsters change tactics constantly; static rules can’t keep up. Abuse Prevention uses AI and behavioral analytics across device and behavioral signals to catch abuse earlier and adapt automatically as tactics shift.

Unify Decisioning

Returns don’t happen in a silo, so your view of the customer shouldn’t either. Abuse Prevention connects returns, fraud, and payment signals into one decisioning layer, giving every team a shared source of truth across the customer lifecycle.

3–5%

of customers are responsible for 20–30% of total returns abuse costs4

Abuse Prevention’s precision targeting means you don’t have to choose between protecting margin and protecting experience. You can enforce against the small minority driving the damage and stay generous with everyone else.

Feature Highlights

Everything a returns and abuse team
needs, in one workspace.

Capability Description Details
Dedicated API Monitor post-fulfillment activity in real time. Returns are now a material financial risk: 19.3% of online purchases are returned and 9% of all returns are fraudulent (NRF, 2025). Online return rates run ~3x in-store (24.5% vs. 8.7%) (Retail Dive, 2025). Clients can achieve annual ROI in under 4 weeks (Accertify Global Retail Client Data, 2026).
Queues and Resolutions Triage and resolve risky refunds efficiently. Nearly 1 in 5 eCommerce orders drive post-fulfillment workflows (NRF, 2025), and nearly 40% of consumers return at least one online purchase per month (Narvar, 2024). Prioritized queues help teams focus on the small share of customers driving abuse.
Threshold Builder Configure customer refund rules with flexible enforcement. 3–5% of a retailer’s customers typically drive 20–30% of returns abuse and refund exploitation costs, a small group that can be targeted precisely rather than through blunt, store-wide policy tightening (Accertify Client Data, 2025). 45% of shoppers say bending return rules is acceptable (NRF, 2025).
Virtual Table Get strategic insight from historical refund analytics. One Accertify client found that 3% of its customers drove 25% of refund costs, revealing concentrated margin leakage (Accertify Client Data). Clients can achieve annual ROI in under 4 weeks (Accertify Global Retail Client Data, 2026).
Mini-Panel See a unified view of policy abuse in one place. A major athletic merchandise retailer saw a 35% reduction in abuse rates after implementing Abuse Prevention (Accertify Client Data, 2026).
Consortium Network Move trusted customers through faster with intelligence that compounds across the network. 98% of Accertify clients opt in to share anonymized fraud intelligence. Insights based on more than 10 billion transactions, representing $1.25 trillion in commerce over a recent 12-month span.

The Predictive Yes Platform

Built Into the Predictive Yes Platform

Abuse Prevention doesn’t work alone. It’s one piece of Accertify’s Predictive Yes Platform, which joins identity, behavioral, and transaction signals across the entire customer lifecycle — from account creation through checkout and beyond. That means a return isn’t just a return: it’s a signal that sharpens every decision that comes after it, for this customer and across the consortium.

Explore the Platform

The rest of Accertify’s fraud and risk
solutions.

Account Protection

Stop account takeover, credential abuse, and loyalty fraud.Monitor post-fulfillment activity in real time.

Fraud Decisioning

Real-time approve/decline decisions at checkout.

Chargeback Management

Automate dispute defense end to end.

Payment Optimization

Tune conversion and approval rates on payments.

Explore the Platform

Questions About Abuse Prevention

Most abuse-prevention tools are bolted onto a returns process after the fact. Abuse Prevention is built directly into Accertify’s Predictive Yes Platform, so a return isn’t a new data problem to solve. It’s one more signal alongside the device, identity, and behavioral data already collected at checkout. That means return scoring gets sharper over time instead of starting from zero on every claim.

Accertify Abuse Prevention is purpose-built specifically for returns, refunds, and exchanges, aggregating a customer’s return history over time and retrieving it at the next transaction so the score reflects a full pattern, not a single event.

Accertify Abuse Prevention takes a different approach: rather than a liability-based guarantee, it gives merchants configurable thresholds and explainable scores that plug directly into signals already flowing through their existing Accertify fraud and payments setup.

Accertify Abuse Prevention uses a mix of signals but keeps returns data connected to the same fraud, payment, and identity intelligence a merchant already relies on across the customer lifecycle so there’s no separate system to configure and maintain in isolation.

Abuse Prevention is designed to run inside Accertify’s Predictive Yes Platform, drawing on the same identity, behavioral, and transaction signals used across checkout and payments. Talk to us about how it fits with what you already have in place.

Sources: 1. NRF and Happy Returns, 2025 Retail Returns Landscape. 2. NRF and Happy Returns, 2025 Retail Returns Landscape. 3. Juniper Research, October 2024 (eCommerce Fraud to Exceed $107 Billion in 2029). 4. Accertify client data, 2025.

Say Yes to More Good Customers. No to the Abusive Ones.

Abuse Prevention gives you the precision to protect margin without slowing down the customers who earned your trust. See it in action.