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Analytics 201 builds on the intro material in analytics 101, diving into a series of business issues facing marketers, BI teams and developers. This talk is led by our CEO, Dmitri Williams, who is also a tenured professor at USC and has over 15 years of experience in game behavior, big data and analysis. The talk covers:

  • Basics of machine learning vs. regression, interpreting MLMs
  • LTV and churn modeling
  • LTV vs. CaC
  • Network models and adjusting/accounting for social
  • Attribution & approaches, empirical benchmarks

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If you have a social game or application, we can help you learn who matters most in your network and what features are affecting the health of your community