Q4 2023 Performance of Top Tennis Games in Brazil - Sensor Tower Insights

As Q4 2023 wraps up, Sensor Tower provides a close look at the performance of the top tennis games on the unified platform in Brazil. This report offers an overview of how these apps fared in terms of downloads, revenue, and weekly active users.

Tennis Clash: Sports Stars Game by Wildlife Inc saw a notable fluctuation in downloads, peaking at approximately 32K in early October and again in early December. Revenue for the game remained consistent with a slight dip towards the end of the quarter, averaging around $15K to $17K weekly. Weekly active users showed resilience, with numbers ranging around 140K to 147K, except for a dip to approximately 112K at the end of November.

Helium9 Games' Tennis Arena experienced a relatively stable revenue in the hundreds, with the highest reported at $596 in early October. Downloads for the game saw a decline from 3K to 2.5K by the end of the quarter. The weekly active users showed a downward trend, starting at 12K and decreasing to 8.2K by the year's end.

Miniclip's Mini Tennis: Perfect Smash displayed varied performance with downloads peaking at around 3.6K at the end of October and active users hitting a high of over 100K in late October and early December. Revenue witnessed a decline, starting at $556 and dropping to $279 by the last week of December.

SEGA's Virtua Tennis Challenge saw modest numbers with the revenue hovering around $20 to $30, excluding a low in late November. Downloads ranged from 400 to 530, with a slight increase to 517 at the quarter's end. Weekly active users remained just above 1K throughout the quarter.

Lastly, ReboundCG's Tennis Manager Mobile demonstrated minimal activity with its revenue peaking at $47 in early December before dropping to zero by year-end. The game had virtually no downloads throughout the quarter, and weekly active users steadily declined from 192 to 100.

For more in-depth insights and analytics on app performance, Sensor Tower's platform provides comprehensive data.