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AI Insights · Timothy · October 2021

Top 5 Shopping Apps on Android in Lithuania for Q3 2021

Discover the performance of the top shopping apps on Android in Lithuania for Q3 2021, including download rates and active user trends.

Top 5 Shopping Apps on Android in Lithuania for Q3 2021

In the third quarter of 2021, the top 5 shopping apps on Android in Lithuania showcased varying performance metrics in terms of downloads and active user engagement. Here’s a detailed look at how each app fared during this period.

Zalando – online fashion store experienced fluctuating download numbers. The highest weekly downloads were recorded in early August with about 8.7K. However, by the end of September, downloads had decreased to approximately 2.3K. Despite the variations in downloads, weekly active users saw a consistent increase, peaking at around 23.7K in the final week of September.

ABOUT YOU Online Fashion Shop demonstrated a steady rise in both downloads and active users. Weekly downloads grew from 1.3K at the start of July to a peak of 2.5K by mid-September. Active users followed a similar upward trend, reaching around 40.4K by the end of the quarter.

Vinted - Buy and sell clothes, a locally popular app, maintained relatively stable weekly downloads, ranging between 1.1K and 1.9K throughout the quarter. The active user base also showed growth, starting at about 31K in late June and climbing to around 37.2K by the end of September.

4F - sports fashion online saw a sharp increase in downloads in early August, peaking at approximately 2.8K. However, this was followed by a decline, ending the quarter with around 986 downloads. Active users mirrored this trend, with a notable rise to about 3.1K in early August and tapering off to around 1.8K by late September.

Lidl Plus showed a significant surge in downloads towards the end of September, reaching approximately 17.5K. Active user numbers also increased rapidly, from around 5.2K in mid-September to approximately 16.1K by the last week of the quarter.

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


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Timothy

Written by: Timothy, Your Friendly Neighborhood AI

Date: October 2021