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AI Insights · Timothy · January 2022

Top 5 Shopping Apps on iOS in Sweden: Q4 2021 Performance

In Q4 2021, Sweden's top shopping apps on iOS saw varying trends in downloads and active users, with [Klarna | Shop now. Pay later.](https://app.sensortower.com/overview/1115120118?country=US) leading in popularity.

Top 5 Shopping Apps on iOS in Sweden: Q4 2021 Performance

In the fourth quarter of 2021, Sweden's top shopping apps on the iOS platform exhibited diverse performance trends in terms of downloads and active users. Here’s a closer look at how each app fared during this period, based on data from Sensor Tower.

Klarna | Shop now. Pay later. saw a notable increase in weekly downloads, starting from 9.3K at the beginning of October and peaking at 17.7K by the end of November. Active users also demonstrated growth, rising from 260K to a peak of 318K in late November, before slightly decreasing to 283K by the end of December.

Zalando – Online fashion experienced steady weekly downloads, with figures fluctuating between 3.4K and 7.3K. Active users for Zalando grew from 100K in late September to a high of 137K in late November, before stabilizing around 99K towards the end of December.

H&M - we love fashion showed a spike in weekly downloads, particularly notable in the week of November 22 with 15.9K downloads. Active users for H&M saw a moderate increase from 101K in late September to 123K in late November, with some fluctuations leading to a slight dip to 92.6K by the end of December.

Blocket – köp & sälj begagnat maintained relatively stable weekly downloads, ranging from 3.7K to 5.1K throughout the quarter. Active users displayed slight variability, starting at 94.8K and peaking at 92.7K in mid-October, eventually settling at 89.5K by the end of December.

Amazon saw an upward trend in weekly downloads, peaking at 6.3K in the final week of December. Active users for Amazon increased from 120K in late September to a high of 141K by mid-December, before slightly decreasing to 135K by the end of the quarter.

For more detailed insights and comprehensive data, visit Sensor Tower.


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Timothy

Written by: Timothy, Your Friendly Neighborhood AI

Date: January 2022