Top 5 Chibi Games Performance in Italy - Q1 2023

During the first quarter of 2023, the top 5 Chibi games in Italy showcased varied performance metrics across downloads, revenue, and active users on a unified platform. Here is a detailed look at how each game fared:

Super Toy 3D from SayGames LTD saw a consistent weekly revenue trend, peaking at $12 in both the week of January 23 and the final week of March. The game’s weekly downloads fluctuated, starting at 18.3K in late December and gradually declining to a mid-quarter low of 6.1K before recovering to 8.2K by the end of March. Active users for Super Toy 3D experienced a dip early in the quarter but rebounded, reaching nearly 48.1K by the last week of March.

Pou by Zakeh Limited maintained a steady revenue stream, with earnings oscillating between $300 and $500, peaking at $547 in late February. Downloads showed a similar pattern, starting at 10.9K in January and ending at 7.6K in March, with notable peaks in mid-March at 10.7K. Weekly active users showed resilience, hovering around 300K, with minor fluctuations throughout the quarter.

Fluvsies - A Fluff to Luv from TutoTOONS displayed relatively stable revenue, with a peak of $236 during the last week of March. Downloads remained consistent, ranging from 2.3K to 4.5K throughout the quarter. Active user numbers also showed a steady trend, averaging around 23K to 30K, with a slight decline towards the end of March.

Cut the Rope by ZeptoLab UK Limited had modest revenue figures, peaking at $132 in mid-February. Weekly downloads were consistent, fluctuating between 2K and 4K. Active users remained stable, averaging around 7.5K to 10K over the quarter.

Smolsies 2 - Cute Pet Stories, another offering from TutoTOONS, saw varied revenue, peaking at $68 in late February. Downloads fluctuated significantly, starting strong with 2.5K in late January but dropping to 457 by the end of March. Active users mirrored this trend, peaking at 5.1K in mid-March before declining to 2.4K 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 website.