Top 5 Crime Games in Australia: Q4 2022 Performance Overview

In the fourth quarter of 2022, the top 5 crime games on a unified platform in Australia showcased a variety of performance trends across downloads, revenue, and active users. Here’s a detailed look at each game’s metrics:

June’s Journey: Hidden Objects saw a fluctuating trend in weekly revenue, starting at around $96K in late September and dipping to approximately $52K in early November before recovering to around $75K by the end of December. Weekly downloads for the game showed a general decline from 3.4K at the start of the quarter to about 2.7K by the end. However, the weekly active users remained relatively steady, hovering around 40K to 43K throughout the quarter.

The Grand Mafia experienced a peak in weekly revenue at $79K in early October, with a subsequent decrease to around $55K by the end of December. Downloads were relatively stable, starting at 2.1K and ending at 2.5K. The game’s weekly active users showed minor fluctuations, generally maintaining a range between 8K and 10K.

Mafia City: War of Underworld demonstrated a consistent revenue pattern, peaking at approximately $55K in late November and stabilizing around $47K by the end of December. Weekly downloads ranged from 1.4K to 1.8K, with active users remaining stable between 9K and 10K throughout the quarter.

Manor Matters had a stable revenue stream, with weekly earnings fluctuating between $15K and $17K. Downloads saw a peak of 3.5K in early October, then settling around 2.3K by the end of the quarter. The game maintained a strong active user base, starting at 26K and peaking at 29K in mid-October before ending the quarter at approximately 26K.

Sherlock・Hidden Object・Match 3 had relatively stable weekly revenue, averaging around $9K to $10K, with a slight increase to $10K at the end of December. Downloads were lower compared to other games, ranging from 493 to 1.4K. Active users showed a downward trend, starting at 7.4K and ending at 4.9K by the end of the quarter.

These insights are based on data from Sensor Tower. For more detailed analytics and trends, visit Sensor Tower’s platform.