In this episode, Matej Lancaric discusses the critical relationship between Cost Per Install (CPI) and Lifetime Value (LTV) in mobile gaming. He explores how different game genres affect these metrics, the importance of churn prediction for user retention, and strategies for optimizing user acquisition.

The monologue also covers the significance of payback periods and how to utilize LTV predictions for effective marketing strategies, ultimately emphasizing the need for informed decision-making in the competitive mobile gaming landscape.

This is no BS gaming podcast 2.5 gamers session. Sharing actionable insights, dropping knowledge from our day-to-day User Acquisition, Game Design, and Ad monetization jobs. We are definitely not discussing the latest industry news, but having so much fun! Let’s not forget this is a 4 a.m. conference discussion vibe, so let's not take it too seriously.

Panelists: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jakub Remia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠r,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Felix Braberg, Matej Lancaric⁠

Youtube: https://youtu.be/56V_6ZYyM_0

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Chapters

00:00 Introduction to Game Genres and Revenue Models

01:14 Understanding CPI and LTV in Mobile Gaming

12:09 Churn Prediction and User Retention Strategies

14:37 Decision-Making Based on CPI vs LTV

18:01 Payback Periods Across Game Genres

22:30 Utilizing LTV Predictions for User Acquisition

28:09 Conclusion and Key Takeaways

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Matej Lancaric

User Acquisition & Creatives Consultant

⁠https://lancaric.me

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Takeaways

CPI is a critical metric for user acquisition budgets.

Different game genres have varying payback periods.

User engagement directly influences LTV.

Regular game updates can enhance user retention.

For profitability, CPI should always be lower than LTV.

Predictive modeling aids in targeting high-value users.

Analyzing competitors can provide valuable benchmarks.

Understanding the CPI-LTV equation is essential for success.

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