AUTHORIZATION RATE OPTIMIZATION
Influence bank auth rates with enhanced data
Empower issuers with the data they need to reduce false declines and approve more of your good orders.
AUTHORIZATION RATE OPTIMIZATION
Influence bank auth rates with enhanced data
Empower issuers with the data they need to reduce false declines and approve more of your good orders
In today’s payment journey, merchants and issuers make fraud decisions in silos
This data fragmentation creates inefficiencies in the fraud screening process and increases the occurrence of false declines by banks. Without the ability to share findings from their own internal fraud screening, merchants have little influence over the fate of their transaction past the point of checkout. Instead, issuers make decisions with limited information, blind to the data that can prove a shopper is who they say they are.
Bridge the merchant-issuer data gap with Authorization Rate Optimization
Eliminate fraud
Ensure only the cleanest traffic reaches the banks for authorization.
Optimize auth rates
Give issuers the confidence to increase auth rates by as much as 3%.
Reduce false declines
Pay less in processing costs for transactions that ultimately fail authorization.
Increase customer lifetime value
Transform new shoppers into repeat customers with a seamless checkout experience that converts.
“I’ve seen a bunch of orders go through that previously we would have seen falsely declined. They were approved through Signifyd — 100% legitimate business that we would have walked away from.”
— Scott Perry Senior VP of Digital IT and Omnichannel
How it works
Send only the cleanest traffic to issuers
Prior to authorization, Signifyd performs risk analysis to filter out fraudulent orders from the traffic sent to issuing banks – backing approved orders with a 100% financial guarantee.
Provide better context on orders with enhanced data
Via direct connection between Signifyd’s enhanced data API and our partner issuers’, approved orders are sent to the issuing bank enriched with additional data points including order score, order decision, IP address, device ID, email address, geo‑location, gift card indicator, phone number, shipping name and address, and more.
Align fraud decisioning across the payment journey
This enhanced dataset gives issuers visibility into the pre-authorization fraud screening process and allows them to more easily identify and streamline legitimate transactions through authorization.
