Top 5 Reference Apps in Lithuania Q2 2021 Performance

During the second quarter of 2021, the top 5 reference apps in Lithuania have shown varied performance metrics in terms of downloads, revenue, and active users, according to data from Sensor Tower.

Dialog - Translate Speech exhibited notable fluctuations in its weekly downloads and revenue. Weekly downloads peaked at 650 in mid-April, before experiencing a significant drop in May and June, reaching a low of 4 downloads by the end of June. Revenue saw a steady increase in April, peaking at around $179 in early May, and then gradually declined, stabilizing at approximately $66 by the end of June. Active users also saw a peak of 349 in mid-April but dropped to 21 by the end of May.

Voice Translator: AI Translate maintained a relatively stable performance throughout the quarter. Weekly downloads hovered around the 50-100 range, with a slight increase reaching 77 downloads by the end of June. Revenue was consistent, with minor fluctuations, peaking at around $87 in mid-April and maintaining an average of $60-$70 in subsequent weeks. Active users remained stable, averaging around 115-135 throughout the quarter.

Translate Now - AI Translator experienced steady revenue across the quarter, with weekly earnings generally around $35-$56. Downloads fluctuated slightly, peaking at 54 in late May, before stabilizing around 20-30 downloads per week. Active users showed a gradual decline from 239 in late March to 164 by the end of June.

Anglonas - the English-Lithuanian dictionary had a consistent revenue stream, with weekly earnings ranging between $12 and $37. While there were no significant changes in downloads, the app maintained a steady performance in terms of revenue.

Night Sky saw a peak in downloads at 48 in early May, with a general trend of around 25-31 downloads per week. Revenue varied throughout the quarter, reaching a high of $32 in mid-April and a low of $3 at the end of June. Active users fluctuated slightly but averaged around 190-220 throughout the period.

For more detailed insights and analysis, visit Sensor Tower.