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Encourage return shoppers, not return abuse

Recognize intent behind return and refund requests
to fast‑track good returns and reduce abuse.


Encourage return shoppers, not return abuse

Recognize intent behind return & refund requests to fast-track good returns and reduce abuse.

Free and flexible returns are table stakes for competing in ecommerce. Yet, 1 out of every 10 online returns is fraudulent.1

Free returns may be a worthwhile price to pay for the 62% of ecommerce shoppers that buy more from a brand after a positive returns experience. However, that’s a payoff merchants never realize for the more than 10% of returns that turn out fraudulent.

Provide friction-free returns for valued customers with Return Abuse Prevention

Mitigate losses

Gain control over your margins by reducing markdowns, out‑of‑stocks, appeasements and inventory shrink caused by fraudulent returns.

Cut costs

Filter out fraudulent requests to better deploy internal resources. Reduce labor costs due to manual inspections and restocks.

Automate returns

Identify legitimate requests in real-time and expedite returns for valued customers.

Fast-track refunds

48% of consumers want faster refunds. Reward clean record returners with speedy refunds – and watch CLTV climb.

Trusted by the world’s leading brands

“Getting our return policies right is a big priority for us. The cost of a return is enormous, so it’s important that we prevent shoppers from abusing returns. And now, with Signifyd, we are capable of doing that.”

— Sofia Giussani
, Senior Director of Digital
Marketing & Ecommerce

How it works

Set automated guardrails to alert customer support of high risk requests

Based on the guardrails you set, Signifyd assigns an abuse risk level to each returns request – identifying the return as low risk, moderate risk or high risk – along with recommendations on whether and how to process the return.

Empower your support team with custom recommendations

Return decisioning is configured to your unique return policies, generating recommendations your support team can rely on such as: approved for refund, approved for store credit, review package before refund, declined for refund and more.

Test drive return policies before go‑live

Signifyd’s Return Policy Simulator allows you to measure customer impact of various return scenarios before launching new policies. By applying configured policies to a sample set of returns, merchants can confirm that conditions are delivering the expected results.

Expedite refunds for valued customers

Custom policy configuration allows you to remove blockers for your most valued customers – for example, by automatically issuing refunds for loyalty member customers – ensuring a friction-free returns experience every time.

Disincentivize abuse and outsmart fraudsters

Decision Center allows merchants to build return policies unique to their business’s definition of abuse. Signifyd is there every step of the way to offer expert guidance, policy templates and recommendations on deterring common return abuse and fraud tactics.


Disincentivize wardrobbers by routing suspect requests to in‑store returns.

Item-Not-Received / Significantly Not As Described refund abuse

Pull up a shopper’s INR and SNAD abuse scores during live support calls to manage abusive requests appropriately.


Set a return rate threshold and limit repeat offenders to cost‑saving pathways like store credit or paid returns.

Empty box, counterfeit and switch & ship returns

Block requests from serial return fraudsters outright or hold refunds for product inspection.

Read more
about Return Abuse Prevention


1. NRF & Appriss: Consumer Returns in the Retail Industry 2021