Bingjie Xu
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Marketing Data Scientist
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Bingjie is working at Google to support the stakeholders in GRCN across multiple industries, including E-commerce, Short video, Technology, and Gaming, by leveraging her skill sets in Data Science to solve data-driven business challenges. Bingjie graduated from University of Michigan - Ann Arbor with degrees in Computer Science Engineering and Statistics. Bingjie has also had industrial experience working in the Finance, Job Search, and Medicine industries on solving engineering and data science problems. |
Workshop: Open-sourced Propensity Model Package: From Modeling to Activation
May 25, 2022; 10:15-11:00am, PST
May 25, 2022; 10:15-11:00am, PST
A propensity model attempts to estimate the propensity (probability) of a behavior (e.g., conversion, churn, purchase, etc.) happening during a well-defined time period into the future based on historical data. It is a widely used technique by organizations or marketing teams for providing targeted messages, products or services to customers. This workshop shares an open-sourced package developed by Google, for building an end-to-end Propensity Modeling solution using datasets like GA360, Firebase or CRM and using the propensity predictions to design, activate and measure the impact of a media campaign. The package has enabled companies from e-commerce, retail, gaming, CPG and other industries to make accelerated data-driven marketing decisions.
Workshop: Open-sourced Propensity Model Package: Accelerating Data-Driven Decisions
April 27, 2022; 9:30-10:00am, PST
April 27, 2022; 9:30-10:00am, PST
A propensity model attempts to estimate the propensity (probability) of a behavior (e.g., conversion, churn, purchase, etc.) happening during a well-defined time period into the future based on historical data. It is a widely used technique by organizations or marketing teams for providing targeted messages, products or services to customers. This workshop shares an open-sourced package developed by Google, for building an end-to-end Propensity Modeling solution using datasets like GA360, Firebase or CRM and using the propensity predictions to design, activate and measure the impact of a media campaign. The package has enabled companies from e-commerce, retail, gaming, CPG and other industries to make accelerated data-driven marketing decisions.
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