Pre-authorization Decisioning in the Blink of an Eye - Ekata
Ekata is part of the Mastercard family. Ekata's solutions provide the most predictive and frictionless identity verification.

Ekata is part of the Mastercard family. Ekata's solutions provide the most predictive and frictionless identity verification.

Pre-authorization Decisioning in the Blink of an Eye

It’s no secret that PSD2 is going to effected merchants when it went into effect. Ekata spent a lot of time thinking about how to help customers meet requirements while still providing a fantastic experience for their customers.

One of the big aspects merchants have to think about is at what point in their transaction they need to make a fraud decision.

First is the PSD2 ban on surcharges. In many industries, surcharges are a way of passing on interchange fees to consumers. But under PSD2, acquirers are no longer be able to pass those fees on, which means they need to be smarter about incurring them.

When PSD2 went into effect, companies started paying much more attention to their fraud rates in order to qualify for the regulation’s strong customer authentication (SCA) exemptions. Passing fraudulent transactions through to their payment service provider (PSP) counts against that rate.

The Push to Pre-authorization Decisioning

Most fraud decisions happen after the authorization, with merchants not wanting to decline a good customer. When shipping physical goods, a merchant has hours to make a decision — and even with digital goods, there’s generally a few minutes before the goods are delivered. If the payment doesn’t go through, the merchant can always cancel the transaction. However, under PSD2, merchants need to think twice about taking risks on transactions that might get declined.

  • They aren’t be able to pass the interchange fee onto the customer; they have to incur fees for fraudulent transactions themselves.
  • Potential fraudulent transactions also contribute to their fraud rates — and the fraud rates of the PSP they are using. Every time an issuer declines a transaction that’s already in the authorization loop, it makes their exemption thresholds that much harder to meet.

The challenge is that making a pre-authorization decisions is immensely harder than sending a risky-seeming transaction to your manual review team after the fact. What’s a merchant to do?

Meeting the Challenge of Pre-authorization Decisioning

When it comes to approving a transaction before the authorization, speed is of the essence. In fact, merchants have around 150 milliseconds to decide whether or not to send the transaction into the authorization loop.
Merchants need to be able to make automated reject decisions without pushing out good customers, and they need to do it fast.

Machine learning models are going to be a huge part of this, as is feeding those models good, clean data. This is all part of a trend that we’ve been seeing for a couple years, where more companies are building machine learning decisioning models in-house, or relying on third-party fraud platforms that have tight, sophisticated models already.

Merchants will also need to focus more on vetting customers at the account creation stage, before the authorization even takes place. We’re likely to see merchants offering incentives for consumers to whitelist companies or sign up for an account rather than just checking out. But even then, the pre-auth fraud decisioning process will need to happen fast.

Are you ahead of the 150 millisecond learning curve?

PSD2 requirements are taking effect in September, meaning now is the time to dial in your preauthorization decisioning process in order to reduce fraud percentages and meet new regulations against surcharges.
At Ekata, we’ve been working hard to speed up our delivery times of good, clean data to help merchants and PSPs make authorization decisions as quickly as possible. We put the focus on low latency both in our product design, and in our delivery system by moving endpoints around the world so that there is even less wire travel time to our customers. The result is that 99 percent of Ekata queries are served in under 100 milliseconds.

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