AI Insights · Timothy · April 2024
Top 5 Shopping Apps on iOS in Ireland, Q1 2024
Discover the performance trends of the top 5 shopping apps on iOS in Ireland during Q1 2024, including weekly downloads, revenue, and active users.
During the first quarter of 2024, the top shopping apps on the iOS platform in Ireland showed varied performance trends. Here's a closer look at the weekly downloads, revenue, and active user metrics for these apps.
Vinmeet from Beijing Fun Plans Technology Co. Ltd. saw its weekly revenue peak at approximately $1.9K in the second week of January before declining to $70 by the end of the month. Downloads started at 203 in the first week, peaking at 256 in the second week, and then dropping to 18 by the end of January.
Style DNA: Fashion AI Stylist from AI Style by DNA S.L. experienced fluctuations in revenue throughout the quarter. It reached a high of $358 in the last week of January and saw another peak of $243 in the final week of February. Downloads saw an initial high of 462 in the first week of January, gradually decreasing to 7 by the end of March. Active users followed a similar trend, starting at 278 and declining to 25 by the end of the quarter.
Think Dirty – Shop Clean from Think Dirty Inc. had modest revenue gains, peaking at $140 in mid-January. Downloads were steady, starting at 165 in the first week and maintaining around 100 for most of the quarter, with a notable dip to 7 in mid-March before rising to 120 in the final week. Active users showed a decline from 271 in the first week to 192 by the end of March.
iArtView: Art to Scale Gallery from MEA Mobile showed consistent revenue generation, with a peak of $112 in mid-January and $71 in the last week of March. However, there were no reported downloads or active user metrics for this app during the quarter.
Which? from Which? Limited had the lowest performance in terms of downloads, starting at 19 in the first week of January and fluctuating around single digits for most of the quarter. Revenue peaked at $59 in the first week of January and remained relatively low throughout the quarter, with minor fluctuations.
These insights are based on Sensor Tower data, and more detailed analytics can be found on the Sensor Tower platform.