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Case Study

Online Dating Platform Cuts Fake Account Fraud by 80% and Maintains 99% Consumer Throughput

A widely used online dating platform is known for its simple, intuitive consumer experience, making it a high-value target for bad actors creating fake accounts at scale to scam legitimate consumers.

80%

reduction in new account fraud

99%

genuine consumer throughput maintained

≈1K

detection signals monitored
  • Bad actors creating fake accounts at scale to send malicious links, solicit money, and run phishing schemes targeting genuine consumers.
  • Account takeover attacks using stolen credentials to hijack existing accounts.
  • Fraudulent activity was only identifiable downstream, leaving the platform without a strong proactive line of defense at registration and login.
  • Needed to stop attacks without adding friction or disrupting the quick, easy signup and login experience the platform was known for.
  • Arkose Bot Manager was deployed at account registration and login to proactively identify and stop both automated and targeted attacks before bad actors could reach genuine consumers.
  • Device, network, location, and behavioral signals were analyzed across nearly 1K detection signals to assess risk and assign risk profiles to each session in real time.
  • Arkose MatchKey challenges were served to suspicious sessions, making fake account creation and account takeover attempts time-consuming and economically unviable.
  • Data signals passed back to the platform enabled the client to identify and shadow ban returning bad actors with high accuracy, reducing repeat abuse.
  • The Arkose Global Intelligence Network contributed cross-industry risk signals, strengthening detection beyond platform-specific data alone.
  • Deployed in partnership with AWS infrastructure to support high availability and performance at scale.
”
Using Arkose Labs data, we can identify and shadow ban malicious users to stop them from abusing our users, which makes the platform safer and increases trust.
— Product Manager
  • 80% of bad actors caught before they could send messages to genuine consumers.
  • 80% reduction in new account fraud following deployment.
  • 99% genuine consumer throughput maintained throughout.
  • Downstream fraud and abuse effectively halted.
  • Week-over-week double digit improvement in fraudulent registration identification following deployment.

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