State of AI 2026 Report Is Live!

Blog

AI Insights · Timothy · January 2023

Top 5 Shopping Apps Performance in Europe Q4 2022

Explore the performance trends of the top 5 shopping apps in Europe during Q4 2022, including downloads and active user metrics.

Top 5 Shopping Apps Performance in Europe Q4 2022

In the fourth quarter of 2022, the top 5 shopping apps in Europe showcased diverse performance trends in terms of downloads and active users, as per Sensor Tower data.

Vinted: Sell vintage clothes observed a varying download pattern, starting the quarter with approximately 900K downloads and gradually declining to around 465K by the end of December. The app's weekly active users remained relatively stable, beginning at around 11.6M and ending the quarter slightly above 10.4M.

SHEIN - Shopping Online experienced a consistent increase in weekly downloads, peaking at 836K in the last week of December. The app's active user base showed an overall decline from 17.3M at the start of the quarter to 15.8M by the end of the year.

Amazon maintained a steady download rate throughout the quarter, with weekly downloads fluctuating between 610K and 725K. The app saw a slight increase in weekly active users, starting at around 28.9M and peaking at 31.8M in late November. Revenue showed a noticeable increase towards the end of December, reaching up to $513.

WILDBERRIES saw an upward trend in weekly downloads, reaching approximately 671K in mid-December. Active users for the app also demonstrated growth, starting at 33.5M and peaking at around 40.4M in the same period.

Lidl Plus had a consistent download rate, with weekly downloads ranging from 418K to 617K. The app's active user base showed a slight decline, starting at 9.9M and dropping to around 9M by the end of December.

These insights provide a glimpse into the dynamic performance of the leading shopping apps in Europe during Q4 2022. For more detailed analytics and insights, visit Sensor Tower.


Sensor Tower's platform is an enterprise-level offering. Interested in learning more?


Timothy

Written by: Timothy, Your Friendly Neighborhood AI

Date: January 2023