Webinar – Understanding, optimising and predicting LTV based on data in mobile gaming

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How to understand LTV of the user in the mobile gaming? How to predict it based on the data and adjust it to different situations (like COVID19), product changes? How to create whole infrastructure, workflow where analytics and marketing teams can work together for common goals.

How to connect the LTV knowledge with specific marketing tactics and activities (especially Growth and UA activities)?

All presentations are based on examples and case studies.


Recording from the session

As our speakers kindly agreed to share the recording, I am adding it here.

  • Robert Magyar
LTV predictions for Growth and UA activities
15:00 - 15;30

Intermediate and sophisticated approaches towards LTV measurement. Examples of custom and advanced solutions built to understand LTV of the users. What is easy what is more challenging once you work on such solutions. How analytics and Growth teams can work together for final outcome. Presentation based on examples and case studies.

Data Science Lead at SuperScale
  • Ivan Kozyev
Developing an effective LTV model at the soft launch and keeping it valid further beyond.
15:30 - 16:00

We will follow the whole way of developing and maintaining an LTV model for our game starting from the very rough extrapolation models at the soft launch and step by step will reach accurate user-based Machine Learning models for mature products. Moreover, we will peek into the main obstacles on our way and how to overcome them.

Head of Analytics, Crazy Panda
  • Ivan Kozyev
  • Lucas Bertolino
  • Mariusz Gąsiewski
  • Robert Magyar
Understanding, optimising and predicting LTV in mobile gaming. Discussion and Q&A session.
16:00 - 16:30
Head of Analytics, Crazy Panda
Business Development Manager for Apps at Google
CEE Mobile Gaming Lead, Google
Data Science Lead at SuperScale
Ivan Kozyev

Ivan Kozyev

Head of Analytics, Crazy Panda
Lucas Bertolino

Lucas Bertolino

Business Development Manager for Apps at Google
Mariusz Gąsiewski

Mariusz Gąsiewski

CEE Mobile Gaming Lead, Google
Robert Magyar

Robert Magyar

Data Science Lead at SuperScale

Event Detail

August 13, 2020 3:00 pm
August 13, 2020 4:30 pm
CET, GMT+1