74% reduction in chargebacks
64% reduction in chargebacks
72% reduction in chargebacks
Customer centricity and link analysis maximize valid sales by acting to increase transactions with viable customers while blocking individuals and networks that cause chargebacks.
Use machine learning capabilities to allow you to reduce fraud losses and maximize customer acceptance. Industry leading link analysis maps the entire customer universe to uncover fake accounts and fraud rings.
Enriching the data provided allows the issuer to make a more informed decision and increase authentication rates. This increased security provides a better overall checkout experience with less friction. Most importantly, this shifts chargeback liability away from the merchant.
Beyond the benefits of global or industry standard data, Fraud Detect isolates and learns from your data. This approach not only provides unrivaled performance, you can learn from visibility into the breakdown data behind fraud scores and models.
Ingredients for a Successful Fraud Management Program
A full panel of integration possibilities offer abilities like a single call for processing and Fraud Mitigation, automatic chargeback data inclusion due to the processing relationship and many other benefits.
Integrate Fraud Mitigation within the Carat Omnichannel Commerce Ecosystem.
Integrate Fraud Mitigation with the Fiserv Gateway.
Integrate Fraud Mitigation within the First API specification.
Retailer loss in digital card-
not-present fraud by 2023 1
Annual spend in fraud
protection by online retailers
by 2023 2
Forecasted retailer loss to card-not-present fraud by 2022 3
Our sales team is available to answer any of your questions at a time that works best for you.
*Results located above describe implementation metrics comparative to current and former providers.
Sources: 1: Juniper Research, Online Payment Fraud 2020 Research Report; 2: LexisNexis, Risk Solutions 2020 True Cost of Fraud Study; 3: Juniper Research, Press Release 2017; 4: Ad Source: Businesswire, Marqeta Fraud Research Report 2020