Sift > Case Studies > How Harry’s proactively stops fraud

How Harry’s proactively stops fraud

Company Size

1,000+

Region

America
Europe

Country

Germany
United Kingdom
United States

Product

Sift Console

Tech Stack

Sift

Implementation Scale

Enterprise-wide Deployment

Impact Metrics

Cost Savings
Customer Satisfaction

Applicable Industries

Retail

Applicable Functions

Sales & Marketing

Use Cases

Fraud Detection

Services

Cybersecurity Services

About The Customer

Harry’s is a care brand making thoughtful products for all men, with operations in North America and the UK. They design all of their products in their New York office and manufacture them in their factory in Germany, then sell direct to customers via Harrys.com and Target and Walmart stores. “No middlemen, no upcharges. That’s the Harry’s way.” Harry’s offers both Shave Plan subscription and a la carte services, allowing customers the freedom to order blades depending on how often they shave. No waste, no excess costs. Just high quality blades when their customers need them.

The Challenge

A few months after launching their business, Harry’s started considering the need for a proactive, scalable solution to put into place before fraud became a larger problem. Being a trustworthy site is critical to Harry’s business model and core beliefs, so getting the jump on fraud before it became a deep-rooted issue was essential. Harry’s did see some fraud, mainly in the forms of promo abuse, payment abuse, account abuse, and friendly fraud. Resellers would make fake accounts to buy large quantities of blades and sell them them at a profit online, while other fraudsters would use Harry’s for stolen credit card testing. Some returning customers would try to game the system by canceling their subscription after having received product. Harry’s needed a solution that wouldn’t just stop all of these types of fraud, but would teach their fraud team about the tactics of bad users.

The Solution

The COO and Head of Engineering researched a number of different options, but the ease of integration and accuracy of Sift spoke to Harry’s needs. Once Harry’s reached out to Sift, integration was fast and the solution was quickly up and running, learning and adapting in the background. Soon, Harry’s was using the intuitive Sift Console to pull Sift Scores, Network Visualizations, and social media data to investigate suspicious users. They were able to build an internal workflow around Sift Scores, the ranges of which helped Harry’s determine when to block or review.

Operational Impact

Sift has been so effective for Harry’s that within the first two months of using the solution, their chargeback rate fell by 85%. And, despite experiencing rapid growth and increased volume, Sift’s accuracy is so high, and their fraud rate so low, that their full-time fraud team is comprised of just one person. As the system continues to grow increasingly automated, Harry’s is free to focus the majority of their efforts on providing quality products and experiences to their customers, while maintaining their reputation as a trusted brand.

Quantitative Benefit