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In the first quarter of 2024, the top five fitness and weight loss programs on the unified platform in Poland demonstrated diverse trends in downloads, revenue, and active users. Here’s a closer look at their performance:
Fitatu Calorie Counter & Diet from V Team saw a decline in weekly revenue, starting at around $56.6K in early January and dropping to approximately $27.6K by the end of March. Weekly downloads fluctuated, peaking at 37.3K in late February before falling to 19K in the last week of March. Active users increased from 195.2K to a high of 227.3K in late February, then declined to 194.8K by the end of the quarter.
Mi Fitness (Xiaomi Wear) from Beijing Xiaomi Mobile Software Co.,Ltd maintained a consistent performance in weekly downloads, ranging from 14.9K to 19.1K, with a slight uptick towards the end of March. The app's active users grew steadily from 345.7K in early January to 422.3K by the end of the quarter.
Step Counter - Pedometer by Hitchhike Tech showed modest weekly revenue, peaking at $37 in mid-March. Weekly downloads remained relatively steady, fluctuating between 8.5K and 12.7K. Active users saw a slight increase from 46.8K in early January to 50.6K by the end of February, then stabilized around 43.6K towards the end of the quarter.
Kalorické Tabulky from Dine4Fit, a.s. experienced a gradual increase in weekly revenue, starting at $694 and reaching a peak of $1.6K in late February. Downloads showed a declining trend, starting at 11.7K in early January and dropping to 3.4K by the end of March. Active users initially increased from 38.9K to 46.3K in late February before decreasing to 34.1K by the end of the quarter.
Weight Loss for Women: Workout by EZ Health had minimal weekly revenue, peaking at $57 in early March. Downloads fluctuated, starting at 14.1K in early January and declining to 3.6K by the end of March. The app's active users showed a slight increase from 42.6K to 45.8K in late February, then stabilized around 40.6K towards the end of the quarter.
These insights are derived from Sensor Tower's comprehensive data analysis. For more detailed information, visit Sensor Tower.