Predicting trust: Unlocking new customer behavior for superior CX & loss prevention
High-value customers and potential abusers look alike on day one. This session explores how leveraging deep data and identity-aware intelligence transforms customer service, and loss prevention.
Predicting customer trust from day one
Acquiring new customers is costly, but assessing their true intent upon first interaction poses a significant industry challenge. Without historical data, businesses struggle to differentiate loyal shoppers from potential policy abusers, leading to inconsistent service and revenue leakage. This session explores how identity-aware intelligence and advanced data analysis can predict future customer behavior. By understanding a new customer’s likely lifetime value and risk profile, companies can tailor experiences, offering instant resolutions to good customers while strategically applying friction or denying claims from known bad actors, transforming customer service into a powerful defense against abuse.
VP, Customer Service, Rue Gilt Groupe
When you know who you’re dealing with, you don’t have to choose between protecting the business and delighting your customers. You can do both — and at scale.
The landscape of fraud has shifted dramatically, evolving into an industrialized criminal ecosystem. Discover why combating this threat demands a unified, collaborative effort.
AI-driven fraud rings threaten entire industries. Learn how to unite with collective action and data to outpace this sophisticated, shared challenge.
False declines erode conversions, causing a loss of good customers. Learn how data-driven strategies can boost approvals and protect brand reputation.
