AI Insights · Timothy · September 2023
Top 5 Shopping Apps on iOS in Argentina - Q3 2023
Discover the performance of the top 5 shopping apps on iOS in Argentina during Q3 2023, highlighting trends in downloads, revenue, and active users.
In the third quarter of 2023, the top shopping apps on iOS in Argentina showcased diverse performance trends in downloads, revenue, and weekly active users. Here’s a detailed look at how the top 5 apps fared during this period.
Style DNA: Fashion AI Stylist experienced notable fluctuations in downloads and revenue throughout the quarter. Downloads saw a significant spike in the week of July 31, reaching 160, before stabilizing around 20-40 in the subsequent weeks. Revenue peaked impressively at $238 in the same week, followed by a more moderate range of $10 to $78 in the later weeks. Weekly active users showed a peak of 97 in the week of July 31 but generally remained low in other weeks.
Sneakers Drops: Release+Raffle demonstrated a steady increase in both downloads and weekly active users. Downloads peaked at 155 in the week of August 28, while weekly active users consistently grew, reaching 427 by the end of the quarter. Revenue varied, with a notable high of $82 in the week of August 14 and another peak at $35 in the final week of September.
AD España showed consistent revenue growth, with a peak of $31 in the week of September 4. The app’s downloads remained minimal, with a slight increase to 2 in the week of August 21. No data was available for weekly active users.
IntelliList - Shopping List had modest but steady revenue throughout the quarter. The highest revenue was $44 in the last week of September. Downloads were low, with a peak of 9 in the week of August 21. Weekly active users data was sparse, indicating minimal engagement.
Shopper - Shopping List maintained a stable revenue stream, peaking at $10 in the week of August 7. However, the app did not see any significant download activity during the quarter. No data was available for weekly active users.
These insights are based on data from Sensor Tower. For more detailed analytics and trends, visit Sensor Tower’s platform.