Business Analytics
Optimizing Engagement and Revenue in Mobile Gaming based on Localization
Overview
This analysis delves into the user activity and sales data of a hypothetical free-to-play mobile game. Through advanced analytics, it uncovers trends, seasonal patterns, and anomalies, offering actionable insights for developers and strategists to enhance player engagement and revenue. The study leverages Python for data manipulation and visualization, providing a comprehensive view of how game performance can be optimized based on user behavior and spending patterns.
Results
The study revealed significant insights, such as weekly seasonality in player engagement with higher activity during weekends, and identified external factors affecting user retention. A detailed revenue analysis highlighted the concentration of income from specific geographies, with variations in average revenue per user across regions. Recommendations include optimizing content release schedules, tailoring monetization strategies to regional spending behaviors, and leveraging localized content to capitalize on high-revenue markets.
