Customer Lifetime Value Prediction with Benjamin Young at AlgoLift
The Data Standard
Episode Summary
Host Catherine Tao speaks with Benjamin Young, Data Science & Analytics at AlgoLift. In this episode, Ben speaks about using machine learning/statistical merged approaches and developing robust and accurate algorithms for customer lifetime value (LTV) prediction and for automating user acquisition at scale with the goal of maximizing long-term ROI.
Meet The Host
Darren Kaplan
Co-Founder & Board Member of HiQ Labs
Darren Kaplan is 2x Founder and recognized as one of the Top 20 Data Science Influencers in 2020. Darren is the co-creator of The Data Standard, the premier networking user-community for data-science, data engineers, and cybersecurity enthusiasts.
Meet The Guest
Benjamin Young
Director Data Science & Analytics at AlgoLift
Ben Young is the head of Data Science at AlgoLift, a marketing automation platform driven by predictive analytics. At AlgoLift, he has led the development of various algorithms including LTV forecasting models and ROI-maximizing campaign automation algorithms. He holds a Master of Science degree in engineering from UCLA.
