Christopher G Bliss

Title: Christopher G Bliss: Innovator in Defection Propensity Modeling

Introduction

Christopher G Bliss is an accomplished inventor based in St. Louis, MO (US). He has made significant contributions to the field of predictive modeling, particularly in understanding user behavior in service channels. His innovative approach has led to the development of a unique patent that addresses the challenges of user retention.

Latest Patents

Christopher G Bliss holds a patent titled "Defection propensity model architecture with adaptive remediation." This patent outlines a method for determining a defection probability by receiving user data. The method involves identifying features that characterize the likelihood of a user switching from an initial service channel to an alternative one. It generates an input encoding for these features and utilizes a predictive model to assess the probability of user change. The model is trained to produce a probability output that indicates how likely a user is to switch channels. Additionally, the method determines if this probability meets a defection threshold and generates a remedial action based on the findings. This innovative approach enhances user retention strategies for businesses.

Career Highlights

Christopher G Bliss is currently employed at Evernorth Strategic Development, Inc. His work focuses on developing advanced models that help organizations understand and mitigate user defection. With a strong background in predictive analytics, he has positioned himself as a key player in the field of user behavior analysis.

Collaborations

Some of Christopher's notable coworkers include Alexi E Makarkin and Jay Summers. Their collaborative efforts contribute to the innovative environment at Evernorth Strategic Development, Inc., fostering advancements in predictive modeling and user retention strategies.

Conclusion

Christopher G Bliss is a notable inventor whose work in defection propensity modeling has the potential to transform how businesses approach user retention. His innovative patent and contributions to the field highlight his expertise and commitment to advancing predictive analytics.