Intuit, Inc.

David Joseph Antestenis

Grace Wu

Juan Liu

Ying Yang

Aaron Dibner-Dunlap

Amrita Damani

Dynamic state-space modeling within a special purpose hardware platform to determine non-conversion risks for each trial user and churn risks for each active subscriber having exhibited a sequence of behaviors. The state-space model may be operable to determine a loss risk for each of a provider's active trial users and/or subscribers.

Personalized approach to modeling users of a system and/or service

Predictive modeling within a special purpose hardware platform to determine scenarios that are most likely to increase conversion potential for each trial user and retention potential for each active subscriber of a service, collectively referred to as a propensity score. The predictive models are integrated with a contextual marketing system that uses a loss risk assessment to learn user behavior and optimize content messaging designed to improve actual conversion or retention behavior for the user.

Growing community of inventors

Mountain View, CA, United States of America

David Joseph Antestenis