AI Insights · Timothy · January 2022
Top 5 Shopping Apps in Austria Q4 2021 Performance
Discover the performance trends of the top 5 shopping apps in Austria during Q4 2021, focusing on downloads, active users, and revenue.
In the fourth quarter of 2021, the top 5 shopping applications in Austria showcased varying performance trends across downloads, active users, and revenue. Here’s a closer look at how each app fared.
Klarna | Shop now. Pay later. saw a significant increase in weekly downloads. Starting at approximately 5.8K downloads in early October, the app peaked at around 18.7K in the week of December 20. Active users also showed an upward trend, beginning at about 96.4K in late September and reaching around 116.8K by the end of December.
Amazon had a steady performance in terms of weekly downloads, fluctuating between 6.8K and 13.4K throughout the quarter. Active users remained robust, starting at 608.7K in late September and peaking at approximately 708.6K in the week of November 22, before slightly declining to about 599.6K by the end of December.
willhaben maintained a consistent download rate, ranging from 8K to 11K weekly downloads. However, active users showed a slight decrease towards the end of the quarter, from around 421.1K in late September to approximately 369.6K by the end of December.
Zalando – Online fashion experienced fluctuations in weekly downloads, peaking at about 12.7K in the week of November 22 and then dropping to around 4.9K by the end of December. Active users followed a similar trend, starting at 120.1K in late September, reaching a high of 167.1K in late November, and then declining to about 103.8K by the end of December.
Joom. Shopping for every day. showed variability in downloads, peaking at around 11.7K in mid-December and then dropping to about 4.4K by the end of the month. Active users exhibited a steady increase, rising from approximately 41.8K in late September to around 64.6K by mid-December, before slightly declining towards the end of the month.
These insights are based on data from Sensor Tower. For more detailed analytics and trends, visit Sensor Tower.