AI Insights · Timothy · October 2024
Top 5 Shopping Games Performance in New Zealand Q3 2024
Explore the performance of the top 5 shopping games on a unified platform in New Zealand during Q3 2024, with insights into downloads, revenue, and active users.
In the third quarter of 2024, the top 5 shopping games in New Zealand showcased a variety of trends in downloads, revenue, and active users, providing a comprehensive view of their performance on a unified platform. This analysis is based on data provided by Sensor Tower.
My Superstore Simulator from Game District LLC experienced an impressive surge in both weekly downloads and revenue. Weekly downloads peaked at approximately 6.8K by the end of September, while weekly revenue climbed steadily, reaching around $1.5K. The game also saw a significant increase in weekly active users, jumping from 151 in mid-July to nearly 14.5K by the end of the quarter.
Goods Puzzle: Sort Challenge, published by ONESOFT GLOBAL PTE. LTD., maintained a consistent growth trajectory. Weekly revenue rose to about $1K by the end of September, with downloads fluctuating around 2.5K during the same period. Active users saw a steady increase, reaching approximately 9.5K.
Cloth Store Simulator 3D by SPACETIME OYUN YAZILIM SANAYI VE TICARET ANONIM SIRKETI showed a decline in both downloads and revenue. Weekly downloads fell to around 33 by the end of the quarter, while revenue decreased to approximately $107.
Store Manager Simulator 3D from Digital Melody had a downward trend in downloads and revenue. Weekly downloads dropped to about 143, and revenue decreased to $51. The active user base also declined from 633 in early July to 229 by the end of September.
Lastly, Idle Supermarket Tycoon - Shop by Digital Things showed moderate performance with stable active users, around 275, and weekly revenue hovering near $109 by the end of the quarter. Weekly downloads remained low, with minor fluctuations throughout the period.
For a deeper dive into these insights, visit Sensor Tower for more comprehensive data analysis.