Page 28 - Cyber Defense eMagazine - December 2017
P. 28
Change your fraud prevention focus
Since the percentage of all orders which are fraudulent drop during this time, online
merchants face a higher risk of turning down legit orders unless they adjust their fraud
prevention systems. Declined legit orders mean lost revenue, not only for that particular
order, but also any future online orders which will now be diverted to your competitors
because your crude fraud filter seriously dampened that shopper’s holiday spirits by
mis-labeling them as a criminal. This is precisely why many etailers are switching to
more advanced e-commerce fraud protection solutions, like the machine learning-based
service offered by Riskified.
Not only is there a danger in overreacting to the actual fraud risk, e-commerce
companies can also make costly mistakes when it comes to manual review of
suspicious orders. The huge surge of shoppers during this time results in a large
volume of orders which need to be manually reviewed by analysts who then accept or
decline the order. This in turn forces online merchants to add seasonal hires to their
fraud review team as well as increase the workload on permanent staff, both of which
can result in inaccurate, rushed decisions (especially if the seasonal hires are new to
fraud prevention).
Help bring joy to the world: don’t falsely decline international orders
Rushed decisions and fear of chargebacks often result in more false declines and thus
lost revenue. What compounds this problem of false declines during the holiday
shopping season is not only the already discussed quantity of orders, but also their
quality, because perfectly legitimate holiday e-commerce shopping can have one or
more indications of a fraudulent order.
One of these is a mismatch between the billing address of the card used and the
shipping address of the gift, which can indicate a fraudulent order. It can also indicate,
however, a consumer shopping for friends or family and choosing to have the
28 Cyber Defense eMagazine – December 2017 Edition
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