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AI Insights · Timothy · April 2022

Top 5 Shopping Apps on Android in Italy for Q1 2022

Explore the performance of the top 5 shopping apps on Android in Italy during the first quarter of 2022, with insights on weekly downloads, revenue, and active users.

Top 5 Shopping Apps on Android in Italy for Q1 2022

The first quarter of 2022 saw interesting trends in the performance of the top 5 shopping apps on Android in Italy. Data from Sensor Tower provides a detailed look at weekly downloads, revenue, and active users for these apps.

Wallapop - Sell & Buy experienced a steady increase in weekly revenue, peaking at approximately $122 in the first week of January. Weekly downloads showed fluctuations, with a high of 80K in mid-February and a low of 55K in mid-March. Active users increased consistently, starting from 257K at the end of December and reaching 368K by the end of March.

Vinted - Buy and sell clothes saw a notable increase in weekly downloads at the beginning of January, reaching 63K. Downloads then experienced a slight decline, stabilizing around 40K by the end of the quarter. Active users followed a similar trend, starting at 237K at the end of December and peaking at 285K in mid-March before settling at 284K by the end of March.

Subito: compra e vendi usato maintained a stable pattern in weekly downloads, ranging from 39K to 46K throughout the quarter. Active users showed a general upward trend, starting at 651K at the end of December and reaching 765K by the end of March.

SHEIN-Shopping Online had a consistent increase in weekly downloads, starting at 22K in late December and rising to 53K by the end of March. Active users grew steadily, beginning at 2.17M at the end of December and reaching 2.59M by the end of March.

Fanno showed varied performance in weekly downloads, peaking at 48K in mid-February but dropping to 18K in early March before recovering to 43K by the end of the month. Active users increased from 56K at the end of December to 104K by the end of March.

For more detailed insights and analysis, visit Sensor Tower.


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Timothy

Written by: Timothy, Your Friendly Neighborhood AI

Date: April 2022