Retention Science Hires Dr. Alex Liu As Its Chief Data Scientist to Help Clients Maximize Customer Retention

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Dr. Alex Liu joins Retention Science as its Chief Data Scientist to further develop the company’s predictive models and lead its strategic vision on data science.

Retention Science maximizes customer retention

Retention Science addresses the critical problem of customer retention in online businesses. That problem has been overlooked in the past by many, and it is an area that is ready for disruption.

Retention Science, a big data company focused on maximizing customer lifetime value for ecommerce businesses, is pleased to announce the addition of Dr. Alex Liu to its data science team. Dr. Liu, who takes on the position of Chief Data Scientist, is focused on driving results for the company’s clients.

His main role is to maximize the impact of the company’s retention campaigns by improving the prediction accuracy of its Customer Profiling Engine, a technology that analyzes massive customer data to identify the most appropriate steps towards increasing customer lifetime value. Dr. Liu is also providing thought leadership in predictive modeling, retention scores, and data science for the rapidly growing data science team.

“Retention Science has an incredible vision, not to mention a very strong engineering team. It has built a platform that is very easy to use for the clients, and I’m excited to contribute to the data science department” said Dr. Liu. “I also believe the company addresses the critical problem of customer retention in online businesses. That problem has been overlooked in the past by many, and it is an area that is ready for disruption.”

“Dr. Liu’s extensive experience and expertise tie in perfectly with our goals. His knowledge will enable us to further develop our big data technology, so we can help our clients retain customers and maximize customer lifetime value and spending,” said Retention Science co-founder Jerry Jao.

Jao furthered that Dr. Liu’s background in both academics and ecommerce will strengthen Retention Science’s thought leadership efforts in the big data space. “We’re very excited to have him. Aside from his academic roles, he brings many years of experience in predictive modeling, and that will absolutely deepen our expertise in data science.”

About Dr. Liu

Dr. Liu has decades of experience in turning data and analytics into actionable business insights. Specifically, he is a known expert of developing scores with big data and an expert of studying marketing interventions by using advanced causal modeling. Prior to Retention Science, he served as the Chief Data Scientist for Customer Retention at iSKY where he led the efforts in developing innovative predictive analytics models and algorithms to serve iSKY's clients in industries including financial services, automotive, media, and government.

Prior to iSKY, Dr. Liu held similar positions for numerous companies, including IBM, RMA, Shopzilla, Zest Cash and RentPayment, where he developed predictive models and algorithms to improve marketing effectiveness, mitigate risk, and reduce fraud.

Dr. Liu also served as an adjunct professor of Quantitative Research Methods at USC and UC Irvine.

Dr. Liu received his Ph.D and Masters in Statistical Computing and Quantitative Social Science from Stanford University.

More Innovation in Retention Marketing

The addition of Dr. Liu undoubtedly paves the way for more innovation in the company’s retention marketing campaigns. “We’re constantly fine-tuning our algorithms and enhancing our predictive models in order to improve and maximize the customer lifetime value for online merchants,” said Jao. “With Dr. Liu’s leadership, we will be able to do all that much more effectively.”

Jao said that with Dr. Liu joining their team, clients can expect more robust customer retention campaigns. “They can also expect greater performance and positive impact from our Retention Automation Platform.”

Such products include the Churn Predictor, which shows when e-tailers should reengage customers in order to reduce churn, the Dynamic Retention Offer, which allows businesses to deliver individually personalized campaigns to improve customer retention and customer lifetime value, and the Retention Score, a metric that tells businesses how they’re doing in the customer retention department.

About Retention Science

Retention Science is the first Retention Automation Platform that turns Big Data analytics and predictive algorithms into actionable retention marketing campaigns. Its Customer Profiling Engine analyzes the customer lifecycle and optimizes the time periods to re-engage customers with individually-tailored offers. Retention Science has been named a Top 10 Software Company in Southern California by SocalTech, and a Top 10 New Big Data Company of the Year by CRN. Its award winning technology was featured at Under the Radar and won the Judge’s Choice & Audience awards judged by marketing executives from Zappos, Etsy, One Kings Lane, etc.

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