AI Insights · Timothy · October 2023
Top 5 Tabletop Board Games on iOS in Latin America Q3 2023
An overview of the performance of the top 5 tabletop board games on iOS in Latin America for Q3 2023, showcasing trends in downloads, revenue, and active users.
In Q3 2023, the top 5 tabletop board games on iOS in Latin America demonstrated varied performance across downloads, revenue, and weekly active users. Here’s a detailed look at their trends, based on data from Sensor Tower.
Parchisi STAR from Gameberry Labs saw a consistent revenue stream, peaking at approximately $43K in mid-August. Download numbers fluctuated, reaching a high of 47K in early July but ending the quarter at around 34K. Weekly active users started at over 505K but faced a gradual decline, closing at roughly 425K.
Backgammon - Lord of the Board by Beach Bum Ltd experienced a volatile revenue trend, starting at $27K and dipping to a low of $14K before recovering to around $19K by the end of September. Downloads remained low throughout the quarter, starting at 1.3K and dropping to just 77 by the last week. Active users also showed a downward trend, from 5.3K to approximately 3.3K.
Chess - Play & Learn from Chess.com had a steady increase in revenue, peaking at around $9.2K in mid-September. Downloads fluctuated between 12.7K and 15.2K, with a noticeable high in mid-September. The weekly active users count showed a positive trend, growing from 183K to 198K by the end of the quarter.
Ludo Club・Fun Dice Board Game by Moonfrog saw its revenue hover between $4.5K and $6.8K, with a peak in early July. Downloads ranged from 25.8K to 34.3K, with a significant spike in early September. Weekly active users remained stable, averaging around 105K throughout the quarter.
Domino Go: Dominoes Board Game by Beach Bum Ltd had modest revenue figures, peaking at $4.6K in late July. Downloads started at 1.4K and dropped significantly to just 217 by the end of September. Active users followed a similar trend, beginning at 12.6K and declining to around 9.4K.
These insights are derived from Sensor Tower’s comprehensive data. For more detailed information and further insights, visit Sensor Tower.