Segmentation was rules-based and seemed to be largely predictive of value. Several key behaviors were identified that would allow Card to identify both fraudulent and higher value users.

Card was able to use my findings to flag nearly $2,000,000 in potentially recoverable assets from fraudulent deposits. They were also able to build out marketing personas of higher value users that would go on to inform their overall business strategy.