AI Insights · Timothy · January 2022
Top 5 Apparel Apps in Brazil Q4 2021 Performance Overview
A look at the performance of the top 5 apparel apps in Brazil during Q4 2021, including trends in weekly downloads and active users.
The fourth quarter of 2021 saw significant activity in the apparel app sector in Brazil. Here is an overview of the performance of the top 5 apparel apps on a unified platform.
SHEIN - Shopping Online experienced a notable increase in weekly downloads, peaking at approximately 877K in mid-November. Despite a dip towards the end of the year, downloads remained strong with around 446K in the final week. The app also saw a steady rise in weekly active users, starting at 5.8M in late September and reaching over 6.4M by the end of December.
Lojas Renner - Comprar Roupas had a consistent performance in weekly downloads, peaking at 242K in mid-November and closing the quarter with 95K. Active users showed a similar trend, rising from 1.8M in late September to a peak of 2.5M in late November, before settling at around 1.9M by the end of December.
Riachuelo – Comprar roupas saw more moderate download numbers, with a peak of 163K in late September and a gradual decline to around 91K by the end of December. Active users followed a similar pattern, starting at 1M in late September and slightly decreasing to approximately 788K by the end of December.
C&A: Moda Masculina e Feminina had a peak in downloads in mid-October with about 129K, followed by a decrease to 65K by the end of the year. The app’s active users peaked at 829K in late November, before dropping to around 381K in the final week of December.
Marisa: Roupas, Calçados, Moda showed a peak in weekly downloads in mid-October at 140K, and then a steady decline to about 81K by the end of the year. The app maintained a steady number of active users, starting from 592K in late September and reaching around 644K by the end of December.
These insights into the top 5 apparel apps in Brazil for Q4 2021 illustrate varying trends in user engagement and downloads. For more detailed analytics and insights, visit Sensor Tower.