Effective fraud prevention programs call for monitoring across every customer touchpoint from account creation to checkout, login to customer service interactions. Once established, this practice provides ground-level insights on user engagement on an interaction-by-interaction basis.
While this is a necessary layer of visibility, appropriate collation of various data sets provides the context for the identification of advanced fraud methods and early detection of emerging trends.
Below, we provide one fraud case with examples of relevant data visibility across 4 levels necessary for establishing a competitive fraud program in this constantly evolving world.
Transaction Level: The individual interactions of users monitored and decisioned in siloes.
Commonly, a fraud program will begin with pressure from chargebacks inciting action for monitoring transaction performance at the checkout page.
