TurnB Approach


  • Extracted the event data from client database
  • Conducted an Exploratory Data Analysis to spot unusual changes in activity when compared to previous events
  • Examined registrant details by inspecting domain information comprehensively; found several indications of users from fake domains registering for the event
  • After analysing the event data, it was identified that fraudulent attendees accessed the event to obtain promo codes
  • Assessed and identified common patterns in the domain information and user behaviour of fraudulent registrations
  • Devised an algorithm to lookup domain details and flag registrations that followed the identified patterns
  • Validated the status of flagged domains using multiple protocols
  • Provided a consolidated report of fraud domains to be blocked from accessing the events
Approaches background
Infograph

Implications

  • Prevented fraud enrollments in real time by reporting suspicious activity during the event
  • Saved costs associated with misuse of promo codes
  • The report helped the client block further registrations from fraudulent domains
  • Identified multiple cases of fraud, leading to implementation of captcha validation to counter such cases in future events
  • Reported the implications on event metrics and helped to correct event data, enabling the client to get a true picture of event performance