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.
When?
- 13th of August, 3pm CEST
- Duration: 1.5 hrs
Agenda
LTV predictions for Growth and UA activities
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.
- 15.30 - 16.00 - Ivan Kozyev, Head of Analytics at Crazy Panda
Developing an effective LTV model at the soft launch and keeping it valid further beyond.
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.
- 16.00 - 16.30 Understanding, optimising and predicting LTV in mobile gaming. Discussion and Q&A session.
Ivan Kozyev, Head of Analytics at Crazy Panda
Robert Magyar, Data Science Lead at SuperScale
Mariusz Gasiewski, CEE Mobile Gaming Lead at Google
Lucas Bertolino, Business Development Manager for Apps at Google
Event language:
English
Speakers
( Head of Analytics at Crazy Panda )
Ivan Kozyev has worked at Crazy Panda for more than three years, first as an Analyst and then as Head of Analytics from 2018. His main goals are optimization and automatization regarding any and everything that might require these. Starting from a common problem-monitoring system for World Poker Club, he went on to manage and improve in-house services and solutions for personalized offers. During that period, a lot of his skills were put to test: hypothesis generation, AB-testing, machine learning, and data science.
In 2018, one more big challenge emerged as Crazy Panda began the expansion of its User Acquisition activities with the release of two titles: Stellar Age and Pirate Tales. From that point onwards, Ivan has been leveraging his analytical approach in that field, providing efficient support to new products and even breathing new life into user acquisition for older ones.
Today, he is in charge of a team of analysts servicing four highly diverse projects from casual poker to a 4X MMO strategy, also overseeing user acquisition activities for Crazy Panda overall.
( Data Science Lead at SuperScale )
Robert Magyar, Data Science Lead @ SuperScale switched from optimizing trading on foreign exchange to helping SuperScale’s 2 billion+ player portfolio of fast-growing mobile game companies like Fingersoft, Frogmind, Boombit, Traplight improve business performance by applying cutting-edge AI/ML methods.
( CEE Mobile Gaming Lead )
Mariusz Gasiewski has been with Google since 2007. He is leading the mobile gaming initiatives at Google for Startups Campus in Warsaw, supporting growth of mobile gaming ecosystem in the CEE region. During most of his career was helping some of Google’s biggest clients in Central and Eastern Europe in preparation and implementation of mobile measurement strategies.
He is a frequent speaker at gaming and mobile conferences and a founder of GameCamp (www.gamecamp.io), one of the biggest mobile gaming communities in Europe.
( Business Development Manager for Apps at Google )
Lucas is currently working at Google Brazil as Business Development Manager for Apps (gaming & non-gaming). Specialised in Analytics by University of Carlifornia Berkley and Boston University, he has been working for the last 3.5 years supporting publishers & game studio leaderships in LATAM with strategies for monetisation, retention and engagement