Using data intelligence to prevent coupon abuse and seamlessly identify legitimate users
Atom Tickets changes the way people go to the movies with its revolutionary social movie ticketing app and website. Backed by Lionsgate, Disney, Twentieth Century Fox Film, and Fidelity Management & Research Company, Atom Tickets allows consumers to search for films instantly, invite friends, buy tickets, pre-order concessions and more. Enabled on over 20,000 screens across the U.S., the platform’s innovative marketing capabilities help studios, exhibitors and brands maximize revenue opportunities.
Atom Tickets began experiencing an increase in fake accounts along with spikes in customer acquisition costs due to coupon abuse fraud, where bad actors attempt to take advantage of promotions by creating new accounts each time they want to benefit from offers. Atom Tickets needed to implement a better and more secure account registration process, one that could proactively identify legitimate users with minimal friction, while preventing duplicate and fake accounts to deter coupon abuses and misuse.
Atom Tickets implemented TeleSign Score, a risk reputation service based on phone number intelligence, traffic patterns, machine learning and a global data consortium of historical fraud data. New users download the Atom Tickets app and sign-up using their phone number. Based on data intelligence for that user’s phone number, Atom Tickets instantly decides whether to allow, flag, or block a user-- keeping bad actors out. They’ve gained a better understanding of what types of users are entering their ecosystem and are experiencing less fraud and reduced operational costs.