We believe healthcare marketing should be smarter, so we developed a series of analytical frameworks that solve common healthcare marketing challenges through the power of machine learning.
TrueTargetML can leverage billions of rows of data across hundreds of disparate data sets (including Rx Behavior, Access, Offer Utilization, Marketing Activity, Detailing Activity, HCP Demographics, Geographic Characteristics, and more) to develop highly accurate predictions for differential spend & targeting efforts.
Utilizing real world anonymized APLD or CPC Claims data, LapsePredictML leverages multiple machine learning algorithms to make predictions about the likelihood of therapy lapse at the patient level in order to drive focused retention & support services strategies designed to change behavior.
SweetSpotML provides brands the opportunity to identify significant discount related cost efficiencies via the application of machine learning technology, simulation techniques based on highly accurate predictions of real-world abandonment & persistency.
By utilizing association rules algorithms in conjunction with network analytics, our AffinityMAP methodology can quickly identify where pockets of customer overlap exist within an organization — and identify potential portfolio-sell opportunities across the organization.