AI Insights · Timothy · April 2022
Top 5 Food and Drink Apps on Android in France, Q1 2022
In Q1 2022, leading food and drink apps on Android in France showed notable trends in downloads and active users, with varying performance across the board.
In Q1 2022, the top food and drink apps on the Android platform in France showcased interesting trends in their performance metrics. Here’s a closer look at how Too Good To Go: End Food Waste, Uber Eats: Food Delivery, Jow - easy recipes & groceries, McDo+, and Phenix, anti-waste groceries performed during this period.
Too Good To Go: End Food Waste saw a remarkable increase in weekly downloads, starting at 19K in late December and peaking at 66.5K in late January. By the end of March, downloads stabilized around 29K. Active users showed a similar upward trend, beginning at 587K and reaching a high of 872K in late February, before settling at 771K.
Uber Eats: Food Delivery maintained a relatively steady download rate throughout the quarter, with weekly downloads fluctuating between 29K and 35K. Active users saw a slight dip from 970K at the start of the quarter to 937K by late March, with a peak of 1.07M in mid-January.
Jow - easy recipes & groceries experienced consistent weekly download numbers, averaging around 27K, with a peak of 33K in early January. Active users remained fairly stable, starting at 161K and closing the quarter at 169K, with minor fluctuations in between.
McDo+ saw a steady increase in downloads in the first half of the quarter, peaking at 36K in early February before declining to 17K by the end of March. Active users followed a similar pattern, beginning at 331K and peaking at 464K in early February, then decreasing to 321K by the quarter’s end.
Phenix, anti-waste groceries displayed a significant spike in downloads in mid-January, reaching 41K, before tapering off to around 14K by the end of March. Active users showed an initial rise from 83K to 139K by late January, followed by a gradual decline to 104K by the end of the quarter.
These insights are derived from Sensor Tower data. For more detailed analysis and insights, visit Sensor Tower.