Duration: 41:30

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Vladislav Grozin, Head of Data Science of INCYMO.AI, guides us through modern twists on classic user-oriented data science tasks, such as churn prediction, clusterization, calculating user metrics, and others. He discusses unusual angles for solving these tasks; how and why they can be used to improve player experience and monetization; the intuition behind these methods, and insights into inner machinery; and why conventional methods work poorly. Finally, he shows how you can apply this knowledge to improve your users' playing experience, and streamline analytics; and he talks general situation of applied data science and analytics in the industry.
#devgamm #gamedev #monetization

Slides – https://www.slideshare.net/flashgamm/applied-data-science-for-monetization-pitfalls-common-misconceptions-and-novel-approaches-vladislav-grozin-incymoai

Contents:
0:00 – Intro
4:34 – Case 1: Improving retention via gifts
15:15 – Case 2: AB testing new mechanics
29:35 – Case 3: Update roll-out analysis
40:04 – Summary


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