AI Insights · Timothy · July 2024
Top 5 Shopping Apps on iOS in Lithuania Q2 2024
Discover the top 5 shopping apps on iOS in Lithuania for Q2 2024, with insights into their downloads, revenue, and active user trends.
In Q2 2024, the top five shopping apps on iOS in Lithuania showcased varied performance in terms of weekly downloads, revenue, and active users. Here’s a detailed look at their metrics:
Style DNA: Fashion AI Stylist from AI Style by DNA S.L. saw a notable increase in weekly revenue, starting from $53 in early April and peaking at $320 in the first week of May. However, revenue dipped to $99 by the end of June. Weekly downloads followed a similar trajectory, beginning with 17 in the first week of April and climbing to 114 by mid-May before dropping to 26 by the end of June. Active users peaked at 69 in mid-May but settled at 22 by the quarter's end.
Coini - Coin Value Identifier by 6Hive OU experienced a steady flow of revenue, starting at $67 in early April and maintaining around $108 in late June. Downloads were initially robust with 408 in the first week of April, peaking at 822 in early May, but dropped to zero by mid-June.
Insitu Art Room from Appolom Kb had consistent weekly revenue, beginning at $78 in early April and fluctuating slightly to end at $39 in late June. However, the app did not record any downloads or active users throughout the quarter.
Sneakers Drops: Release＋Raffle by David Eritsyan saw a varied revenue stream, starting at $65 in early April, peaking at $133 in mid-June, and then dropping to $58 by the end of June. Downloads were modest, with a high of 83 in early May but tapering off to 16 by late June. Active users remained relatively stable, peaking at 266 in early May and maintaining around 233 towards the quarter's end.
iDiamonds by Roei Kashi Production maintained a steady revenue, starting at $27 in early April and peaking at $71 in late April, before settling at $25 by the end of June. The app did not record any downloads or active users throughout the quarter.
These insights are derived from Sensor Tower data, providing a comprehensive look at the performance of these top shopping apps in Lithuania. For more detailed analytics and insights, visit Sensor Tower.
