Case Studies

Top E-Commerce Platform Leverages DataVisor to Reach Real Customers and Prevent Promotion Abuse

Read this case study to learn how DataVisor detected hundreds of thousands of fake accounts with 99.5% accuracy.

How DataVisor Helped:

  • Captured all members of a fraud ring by identifying hidden linkages between fake account registrations
  • Discovered unknown attacks without labels or training data
  • Blocked fraudulent transactions using promotion credits in real-time to help save millions of dollars per year

Get the Case Study

DataVisor recently partnered with a large e-commerce platform specializing in food delivery services to save millions of marketing spend lost to fraudulent new sign-up bonuses. Read this case study to learn how DataVisor detected hundreds of thousands of fake accounts with 99.5% accuracy.

Trusted by Leading Brands

"With DataVisor and unsupervised machine learning, we were able to identify and stop mass-scale fraud attacks before they had any effect on our users."
Steve Knopf
Vice President of Trust and Safety
About DataVisor

DataVisor is the leading fraud and risk management platform powered by transformational AI technology. Using proprietary machine learning algorithms, DataVisor restores trust in digital commerce by enabling organizations to proactively detect and act on fast-evolving fraud patterns, and prevent future attacks before they happen. Combining advanced analytics and an intelligence network of more than 4B global user accounts, DataVisor protects against financial losses and reputational damage across a variety of industries, including financial services, insurance, marketplaces, ecommerce, and internet platforms.