Harry's: Analyzing Customer Lifetime Value with Survival Analysis - Part 2

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  • เผยแพร่เมื่อ 23 ส.ค. 2017
  • How long does basket size impact retention? How many interactions does the average customer have before canceling their subscription? These questions are hard to define without comparing the data of your userbase.
    Michael Kaminsky, Senior Analytics Manager at Harry's, discusses the Kaplan-Meier Estimator from the biology field and how it can be applied to define customer lifetime value in a SaaS business model.
  • วิทยาศาสตร์และเทคโนโลยี

ความคิดเห็น • 2

  • @lawrenceberry9905
    @lawrenceberry9905 3 ปีที่แล้ว +1

    Outstanding presentation and intuition! Best I’ve seen for K-M technique.

  • @datasciencesmak7931
    @datasciencesmak7931 4 ปีที่แล้ว +1

    Great explanation Sir, I not only understood the usecase, but also how survival analysis work!