Top 5 Hypercasual Games on Android in Spain: Q4 2023 Performance

In the fourth quarter of 2023, the top 5 hypercasual games on the Android platform in Spain demonstrated varied performance across downloads, revenue, and weekly active users (WAU). Here is a detailed look at their metrics:

Lady Popular: Dress up game saw fluctuations in its performance. Revenue hovered around $500 per week, peaking at $595 in early October and reaching a low of $231 in mid-October. Downloads were inconsistent, with a notable high of 2.2K in early November and a dip to 731 in mid-October. WAU showed a general upward trend, starting from 1.1K in late September and ending at approximately 3.3K by the end of December.

Kick Giant: Giant Hunter maintained steady revenue, averaging around $500 weekly, with a peak at $611 in early October. Downloads were volatile, reaching a high of 1.6K in early December and dropping to 188 in late October. WAU increased significantly, from about 3.9K in late September to over 5.5K by mid-December, before settling at 4.6K by the end of the quarter.

Bus Simulator : Ultimate showed moderate revenue, generally around $200-$300 weekly, with a notable peak at $571 in late December. Downloads were relatively stable, ranging from 1.8K to 3.2K, with a peak in early December. WAU remained robust, starting at 11K in late September and peaking at 12.9K in early December.

EVA Character AI & AI Friend had a mixed quarter. Revenue peaked at $343 in early October but dropped to $110 by the end of December. Downloads varied significantly, with a high of 1.6K in late November and a low of 90 in early November. WAU peaked at 1.5K in late November before declining to approximately 493 by the end of December.

Block Strike: BS Shooter experienced a gradual increase in revenue, peaking at $309 in late December. Downloads were stable, with occasional fluctuations, peaking at 368 in late December. WAU remained consistent, hovering around 1.2K to 1.3K throughout the quarter, ending at 1.3K in late December.

These insights are based on data from Sensor Tower. For more detailed analysis and insights, visit Sensor Tower’s official website.