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Promotion abuse
Promotion abuse occurs when a fraudster accesses a legitimate user's account and drains it of loyalty
credits or points via transfer or purchase. Bad actors will also create multiple fake accounts to exploit
promotions meant for new users, such as free trials or virtual gift cards.
AWS machine learning solutions for fraud detection address promotion abuse by scoring the likelihood
that specific user activity related to promotions is due to fraud or abuse based on violations of service
terms. By accurately identifying and preventing promotion abuse, you can help avoid financial losses and
ensure that legitimate users can continue to enjoy the rewards and benefits they've earned.
Qantas Loyalty sends promotion
abuse packing
Through its Qantas Frequent Flyer and Qantas
Business Rewards programs, Qantas Loyalty rewards
its over 12 million members with points they can
redeem across a wide range of categories. Leveraging
Amazon Fraud Detector has helped Qantas Loyalty
significantly improve its ability to detect promotion
abuse and fraud. By enabling the company to write
custom rules, train machine learning models on
demand, and seamlessly integrate other AWS services
with its solution, Amazon Fraud Detector helps Qantas
Loyalty make decisions quickly and intelligently—while
retaining complete control of the platform.
"Amazon Fraud Detector has
been a great addition to our
fraud detection and mitigation
capability…AWS was very helpful
during the proof-of-concept stage
and has been adding new features
to the platform in line with
fraud trends."
– Mary Criniti, CTO, Qantas Loyalty
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