AI Insights · Timothy · January 2021
Q4 2020 Performance of Top Beauty Retail Apps in Australia on Android
A snapshot of the Q4 2020 performance for the top beauty retail applications on the Android platform in Australia, showcasing user engagement and download trends. Insights provided by Sensor Tower.
In the fourth quarter of 2020, the Australian market witnessed varying user engagement across the top beauty retail applications on the Android platform. Data from Sensor Tower offers a glimpse into the downloads and weekly active users for these leading apps.
Sephora - Beauty Shopping experienced a fluctuating download trend with a peak of approximately 3.9K in the second week of November, followed by a dip to around 1.1K in mid-December. The weekly active users also saw a peak of roughly 11K in mid-November before falling to about 7.9K by the end of December.
LOOKFANTASTIC - Beauty Shopping maintained a steady stream of downloads, hovering around 600 to 700 per week, with a slight increase to 714 in the third week of December. The active users showed a slight decline from 4.7K at the beginning of the quarter to 3.9K by its close.
Adore Beauty | Shop Beauty Now saw modest download numbers, ranging from 29 to 145 across the quarter. The data on weekly active users was not available for this period.
For BEAUTY BAY, downloads remained under 100 per week, with a peak of 82 in the first week of December. Weekly active users started at 444 and saw a gradual decline to 335 by the year's end.
Lastly, Lush Fresh Handmade Cosmetics showed an inconsistent download pattern with numbers ranging from 27 to 73, while active users peaked at 83 in mid-October and ended the quarter with 72 active users in the last week of December.
While revenue data was not available for these applications, the trends in downloads and active users provide a clear view of consumer interaction and interest in these beauty retail apps during the last quarter of 2020. For more in-depth insights, Sensor Tower's platform offers detailed analytics and performance metrics for mobile applications.