AI Insights · Timothy · June 2022
Top 5 PVP Games in Oceania Q2 2022
Discover the performance trends of the top 5 PVP games on a unified platform in Oceania for Q2 2022, featuring weekly downloads, revenue, and active users.
In the second quarter of 2022, the top 5 PVP games in Oceania showcased intriguing trends across downloads, revenue, and active users. Here’s a closer look at how these games performed, based on data from Sensor Tower.
Roblox saw its weekly revenue peak at approximately $635K in mid-April before experiencing a downward trend, ending the quarter with around $550K. Weekly downloads fluctuated, peaking at 36K in mid-April, before stabilizing around 30K at the end of June. The game maintained a strong weekly active user base, growing from 1.3M to nearly 1.4M over the quarter.
Slotomania™ Slots Machine Game experienced consistent weekly revenue, hovering around $380K, with a notable peak of $440K in mid-April. Weekly downloads showed a slight decline from 2.4K to 1.9K. Meanwhile, weekly active users remained stable, fluctuating between 16K and 18K throughout the quarter.
Coin Master demonstrated a steady weekly revenue trend, averaging around $350K, with a peak of $402K at the beginning of the quarter. Weekly downloads varied, peaking at 22K in early April and ending at around 15K. The game’s weekly active users increased from 69K to around 74K by the end of June.
Clash of Clans had fluctuating weekly revenue, with a significant peak of $472K in early May and another high of $366K at the end of June. Weekly downloads saw a slight decline, starting at 12K and ending just above 10K. The game’s weekly active users grew steadily from 917K to approximately 1.05M over the quarter.
Pokémon GO reported a significant spike in weekly revenue, particularly at the end of May, reaching $535K. Weekly downloads remained consistent, averaging around 11K to 13K. The game’s weekly active users showed a positive trend, increasing from 449K to about 514K by the end of June.
These insights are sourced from Sensor Tower, where more detailed data and analytics can be explored.