AI Insights · Timothy · April 2024
Top 5 Shopping Apps Performance in Lithuania Q1 2024
Discover how the top 5 shopping apps performed in Lithuania during Q1 2024, with insights on weekly downloads, revenue, and active users.
In the first quarter of 2024, the top 5 shopping apps in Lithuania showcased varied performance metrics across weekly downloads, revenue, and active users. Below is a detailed look at each app's performance.
Style DNA: Fashion AI Stylist from AI Style by DNA S.L. saw a fluctuating trend in its weekly revenue, peaking at around $258 in mid-January before settling down to approximately $82 by the end of March. The app experienced a significant dip in weekly downloads, starting from 399 in the first week of January and dropping to 81 by the last week of March. Weekly active users also saw a decline, from 258 at the beginning of the quarter to 62 by the end.
Sneakers Drops: Release+Raffle by David Eritsyan showed relatively stable revenue throughout the quarter, with minor fluctuations and a peak of $112 in early February. Downloads were minimal, starting at 4 in the first week of January and slightly increasing to 21 by the end of March. The app maintained a consistent number of active users, hovering around 176 to 195 throughout the quarter.
Insitu Art Room by Appolom Kb had a stable revenue performance, with weekly earnings ranging from $43 to $95. However, the app saw no significant downloads or active user data during this period.
Amazon continued its strong presence with weekly downloads starting at 784 in early January and ending at 486 in late March. Weekly revenue showed an upward trend, peaking at $45 in the final week of March. Active users remained steady, starting from 23.1K in the first week and slightly decreasing to 21.5K by the end of the quarter.
Finally, iDiamonds from Roei Kashi Production had a modest revenue performance, with figures ranging from $20 to $62. However, there were no significant downloads or active user data available for the quarter.
These insights are based on data from Sensor Tower. For more detailed analytics and trends, visit Sensor Tower's platform.