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Press Release

Signifyd Launches New Machine Learning Solution to Enhance Authorization-Stage Order Approvals for Enterprise Retailers

Authorization Rate Optimization Tool to Increase Ecommerce Conversions and Maximize Revenue in the Face of Sophisticated Fraud Rings

SAN JOSE, Calif.–(BUSINESS WIRE)–Signifyd today announced the launch of its Authorization Rate Optimization solution, a powerful tool to maximize online retailers’ conversion rates and protect them from authorization-stage order declines that have become increasingly costly as fraud rings have become increasingly sophisticated.

Signifyd Launches New Machine Learning Solution to Enhance Authorization-Stage Order Approvals for Enterprise Retailers

Authorization Rate Optimization allows retailers to maximize revenue from online transactions by harnessing machine learning and data from Signifyd’s vast Commerce Network to weed out fraudulent orders before they are presented to payment gateways for authorization.

The new enterprise-grade feature protects merchants from paying authorization fees on declined orders that never materialize, improves their standing with payment gateways and banks and gives retailers maximum visibility into their authorization rates and the ways in which Authorization Rate Optimization is improving those rates.

“We’re moving to an earlier stage of the checkout, now applying Signifyd’s machine learning expertise and technology to increase authorization rates for some of the world’s largest enterprise retailers,” Signifyd Co-Founder and Chief Product Officer Michael Liberty said in announcing the feature. “Our Authorization Rate Optimization tool is an extension of our Commerce Protection Platform and is particularly critical at a time when retail margins are under intense pressure. It provides customers the best authorization rates in the industry while giving them full visibility into the entire order flow from cart conversion to final fulfillment.”

Enterprise retailers have been wrestling with the costs of transaction authorizations for years. While publicly available research has estimated that 15% of attempted ecommerce transactions are typically declined up front by payment gateways and banks, Signifyd has worked with retailers who were seeing as many as 40% of their orders declined at the authorization stage.

Such high rates are an increasing reality as fraud rings become more sophisticated and more likely to turn to fraud attacks carried out by automated bots. When an online retailer is hit with thousands or millions of fraudulent orders in quick succession, the relatively small authorization fee they pay on each transaction can be financially devastating.

Automated attacks also severely damage a merchant’s reputation with the series of entities involved in ecommerce payments — gateways, issuing banks and acquiring banks — who typically constrict the number of orders they will process from what appears to be a high-risk merchant. In the worst case, payment gateways can entirely shut down a merchant’s order processing to avoid risk.

Signifyd leverages its Commerce Network, an ecosystem of thousands of merchants, processing billions of dollars of transactions a year, to sift fraudulent from legitimate orders before they are submitted for authorization. Ensuring that merchants are sending clean traffic to the players in the payments system encourages them to open up the transaction pipeline to process the increased number of good orders, which leads to a higher authorization rate and more revenue for the merchant.

Contacts

Mike Cassidy, Signifyd
mike.cassidy@signifyd.com
+1-650-283-7084



About Signifyd

Signifyd provides an end-to-end Commerce Protection Platform that leverages its Commerce Network to maximize conversion, automate customer experience and eliminate fraud and customer abuse for retailers. Signifyd counts among its customers a number of companies on the Fortune 1000 and Internet Retailer Top 500 lists. Signifyd is headquartered in San Jose, CA., with locations in Denver, New York, Mexico City, Belfast and London.
Originally published on Businesswire.com