Top 5 Self-Therapy and Journaling Apps on Android in Germany: Q2 2024

In Q2 2024, the self-therapy and journaling apps on the Android platform in Germany showed varied performance. Here’s a detailed look at the top five apps based on downloads, revenue, and weekly active users.

Me+ Daily Routine Planner from ENERJOY PTE. LTD. experienced fluctuations in metrics. Revenue peaked at $3.6K in the week of April 8, then dipped to around $2.0K by late May, before rising to $3.0K in early June. Downloads followed a similar pattern, reaching a high of 5.9K in early April and fluctuating around 3.1K to 4.7K through the quarter. Weekly active users started at 18.7K in early April, saw a dip mid-quarter, but rebounded to 18.5K by June 3.

Fabulous Daily Routine Planner by TheFabulous saw steady revenue growth, beginning at $1.1K in early April and peaking at $1.9K in early June. Downloads initially dropped from 953 to 542 but saw a slight recovery to 743 by the end of June. Weekly active users showed a slight decline from 15.0K to 13.5K over the quarter.

Daylio Journal - Mood Tracker by Habitics had a stable revenue trend, starting at $1.1K and peaking at $1.4K in mid-May. Downloads saw a significant spike to 2.1K in early May, then normalized to around 600-800 for the rest of the quarter. Weekly active users consistently hovered around 84K to 89K, showing slight increases toward the end of June.

MindDoc: Mental Health Support by MindDoc Health exhibited varied revenue trends, with a peak of $1.6K in mid-May and a low of $422 in late April. Downloads ranged from 248 to 1.3K, with notable peaks in late April. Weekly active users started at 6.8K and peaked at 8.7K in late April, then stabilized around 7.7K by the end of June.

Finally, Mindvalley: Self-Improvement by Mindvalley Inc. showed minimal activity in terms of downloads, but revenue peaked at $1.5K in early June before dropping to $263 by the end of the quarter. Weekly active users remained consistently low, averaging around 60 throughout the quarter.

These insights are based on Sensor Tower data, and more detailed analytics can be found on their platform.