How an Online Dating Company Is Winning the Fight Against Fraud

Chargebacks
Device identification
Management
Management/mitigation
iovation, a TransUnion Company
Mar 15, 2020
Case Studies

This case study describes how an online dating business tackled a fraud problem with its ad-sourced leads. By leveraging email verification in combination with device identification, the company achieved a substantial reduction in fraud and kept its chargeback rate under control. In the process, they realized an attractive return on their investment.

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Jul 06, 2022
Harnessing The Power of Fraud Decisioning and Orchestration

Fraud prevention is a complex business, made more challenging by the constantly-increasing array of tools that fraud teams must manage. The average organization loses 5% of its revenue to fraud, and a chargeback costs about 3x the amount of the initial transaction to resolve. Most online businesses today use multiple sources of risk signals, many of which come into play at different points throughout the customer journey. The challenge is making those signals work together to make better mitigation decisions, targeting suspicious users without disrupting legitimate ones.
Fraud decisioning and orchestration hubs provide a solution to this challenge by centralizing fraud decisioning, ingesting signals from a variety of sources and vendors and turning those signals into real-time mitigation decisions.

Join this webinar with Ping Identity’s Maya Ogranovitch Scott and Adam Rusbridge for a discussion of fraud decisioning and orchestration, and how fraud teams can use their existing fraud tools to their full potential and improve their approach to automated fraud mitigation.

Learning Objectives:

  • The additive nature of fraud prevention and its impact on internal fraud teams
  • The key role of fraud decisioning tools as the bridge between detection and mitigation
  • The benefits of a centralized fraud decisioning and orchestration approach
  • How to integrate fraud prevention into the broader customer journey without negatively impacting legitimate users
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