Linkedin Corporation

Microsoft Technology Licensing, LLC

Venu Javarappa

Yurong Shi

Lizabeth Li

Anmol Bhasin

Junghoon (Andrew) Ahn

Bo Long

Kun Liu

Junghoon Andrew Ahn

Jonathan David Traupman

Tarun Kumar

Deepak Argawal

Systems and methods for reducing a churn rate associated with subscribers of social network services are described. In some example embodiments, the systems and methods may access activity information associated with a former subscriber of a social network service, compare the accessed activity information to activity information associated with subscribers of the social network service, identify one or more differences between the activity information associated with the former subscriber of the social network service and the activity information associated with the subscribers of the social network service, and perform an action based on the identified one or more differences.

Reducing churn rate for a social network service

The disclosed embodiments relate to a system that uses data from an online social network to optimize subscription offers. During operation of the online social network, the system gathers data associated with subscription offers that were presented to members of the online social network, including information about which subscription offers were converted. Next, the system uses a machine-learning technique to train a model based on the gathered data. Finally, the system uses the trained model to select subscription offers to present to a member of the online social network.

Using data obtained from an online social network to optimize subscription offers

Determining a churn probability for a subscriber of a social network service

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San Jose, CA, United States of America

Venu Javarappa