Top 5 Shopping Apps in Peru Q3 2023: Unified Platform Performance

In the third quarter of 2023, the top 5 shopping applications in Peru demonstrated varied performance across downloads, revenue, and weekly active users. Here’s a detailed look at how these apps fared on a unified platform, combining data from both iOS and Android. All data comes from Sensor Tower, where you can find more insights.

Style DNA: Fashion AI Stylist saw significant fluctuations in revenue. Starting modestly, it peaked at approximately $286 in early September before tapering off to $18 by the end of the month. Downloads experienced a notable spike, reaching 96K in the last week of July, but generally remained low, fluctuating between 1K and 56K for the rest of the quarter. Weekly active users showed a peak of 54K at the end of July but dropped significantly to 10K by the end of September.

QuickSell Digital Cataloguing had a stable revenue trend with a peak of $264 in the last week of July. Downloads were generally low, peaking at 19K in mid-August and dwindling to just 2K by the end of September. No data was available for weekly active users.

Amazon Shopping maintained a steady revenue stream, starting at $65 and experiencing minor fluctuations, closing the quarter at $59. Downloads were consistently strong, peaking at 8.4K in early July and ending the quarter at around 6.2K. Weekly active users remained high and stable, fluctuating around 600K throughout the quarter.

Easy Giveaway Comment Picker experienced a gradual increase in revenue, peaking at $109 in late August and ending the quarter at $66. Downloads were sporadic, with a high of 22K in late August but generally low numbers otherwise. Weekly active users showed a slight decline, starting at 90K in late June and decreasing to 74K by the end of September.

AD España had a relatively low but stable revenue, with a peak of $137 in early August. Downloads remained negligible throughout the quarter, and no data was available for weekly active users.

For more detailed insights and data, visit Sensor Tower.