Sift
Case Studies
How Taptap Send transfers funds instantly and securely across the globe
Overview
How Taptap Send transfers funds instantly and securely across the globeSift |
Analytics & Modeling - Real Time Analytics Application Infrastructure & Middleware - API Integration & Management | |
Finance & Insurance | |
Logistics & Transportation | |
Fraud Detection Real-Time Location System (RTLS) | |
Data Science Services | |
Operational Impact
By connecting Taptap Send’s API to data from Sift’s real-time machine learning model and over 70B global signals from our merchant network, the remittance service has been able to detect more fraudulent accounts and proactively prevent payment abuse. | |
The Sift solution has helped Taptap Send reduce their chargeback rate to a mere 0.1%, achieve a 96% score precision, and deliver a 1.42x return on investment. | |
As a trust and safety thought leader, Sift has even advised Taptap Send on best practices as they expand into the U.S. and Canada, ultimately helping to scale their business. | |
Quantitative Benefit
Reduced chargeback rate to 0.1% | |
Achieved 96% score precision | |
Delivered a 1.42x return on investment | |