Tutory Reduced False Positives and Cut Manual Efforts by 83% with Sift

Tutory is a specialized online platform in the education sector, offering comprehensive knowledge management, coaching, and training services. As a specialized marketplace, Tutory connects students with prominent teachers, mentors, and educators who offer a range of digital products. The platform provides a dedicated study space for students and streamlines payment processing for instructors, ensuring a seamless experience for all users.

Sift emerged as the ideal solution, offering a flexible model where Tutory could control decision-making through customizable automation that consider a wide range of events and rules while maximizing legitimate sales. The implementation process went smoothly due to the close support and guidance that Sift provided, with regular check-ins, thorough documentation, and speedy and accurate support.

Sift’s payment fraud solutions enable Tutory to identify fraudulent transactions with a highly accurate, tailored approach. The platform excels in filtering out actual fraud while minimizing false positives, ensuring only legitimate transactions are approved.

Another key advantage of Sift is its extensive array of risk signals built for complex use cases, such as peer-to-peer marketplaces with different personas. By aggregating tens of thousands of signals, Sift allows Tutory to accurately identify trusted and suspicious activity based on their fraud risk score. Through advanced machine learning models, Sift continuously analyzes transactions on the marketplace’s platform, flagging those with a higher fraud risk and potential for chargebacks, enabling Tutory to take proactive measures to protect their business.

Tutory experienced immediate and significant improvements after implementing Sift. The most notable result was a dramatic reduction in false positives, which reduced their chargeback rate to just 0.17%, with most likely due to first-party fraud. This reduction led to a considerable decrease in time spent on order reviews, streamlining operations for the risk team. The Sift Console, an easy-to-navigate hub for Sift’s customers, consolidates all relevant information into a single view, and enhances efficiency, making it easier for the team to make informed decisions.

Tutory saw a marked improvement in performance since switching from their previous provider to Sift, resulting in an 83% reduction in transactions needing manual review. The time saved was substantial—while analysts previously spent entire days on reviews, their only analyst needed just 30 minutes daily to complete all reviews, following minimal training.

Tutory also successfully mitigated its first detected organized fraud attack, thanks to Sift’s ability to identify common fraud indicators such as multiple emails and IP addresses associated with the same fraudster or group of fraudsters. This marked a significant improvement over past experiences, where similar attempts led to substantial losses and disruptions with payment processors.

Decision accuracy, a key metric for Tutory, reached 99% with Sift. The Sift Platform provided valuable insights into fraud patterns, such as common timing, email, address, and transaction value indicators, enabling Tutory to better protect against sophisticated fraud attacks. And for simpler cases like unauthorized card use by acquaintances, Tutory reviews purchase history, email age, web page activity, and a custom field indicating whether the document number of the purchaser matches the document number of the cardholder before confirming the transaction with the cardholder. This holistic approach allows Tutory to improve its fraud prevention measures while minimizing disruption to legitimate transactions.