Sift
Case Studies
How Paula’s Choice achieved 6x ROI and boosted brand reputation
Overview
How Paula’s Choice achieved 6x ROI and boosted brand reputationSift |
Analytics & Modeling - Predictive Analytics | |
Consumer Goods Retail | |
Business Operation Sales & Marketing | |
Fraud Detection Predictive Quality Analytics | |
Data Science Services System Integration | |
Operational Impact
As soon as Paula’s Choice switched back to Sift, their chargeback levels immediately went down to 0.2%. | |
Paula’s Choice also discovered a shift in block rates, with the rules-based product blocking 3.1% of orders and Sift blocking 2.2%—indicating that Sift more accurately identifies fraudulent orders. | |
By having access to Sift’s global data network, Paula’s Choice was even able to uncover new kinds of fraud they were unaware existed on their platform, such as fake accounts that would later result in suspicious orders. | |
Quantitative Benefit
Reduced chargeback rate to 0.2% | |
Saved $100,000 worth of fraud orders from being placed within the first three days of re-implementing Sift. | |
Achieved a 6x return on investment with Sift Payment Protection. | |