Top Lifestyle — Top Grossing apps in France 🇫🇷
As of June 27, 2026, Tinder Dating App: Date & Chat is the #1 Lifestyle — Top Grossing app in France on iOS.
#App / PublisherCategoryIntel
- 1
- 2
- 3
- 4
- 51
Style de vie - 61
- 7
Style de vie - 8
- 91
- 101
- 11
Style de vie - 12
- 13
- 14
- 15
Style de vie - 16
- 17
Style de vie - 18
Style de vie - 192
- 201
Style de vie - 211
- 221
- 233
- 24
- 257
Style de vie - 265
Style de vie - 271
- 28
- 295
Style de vie - 3010
- 314
Estilo de vida - 324
Style de vie - 336
Style de vie - 344
Style de vie - 3510
- 363
- 3711
- 384
Style de vie - 3910
- 403
- 4114
- 421
Style de vie - 4320
Style de vie - 449
- 4515
- 465
Style de vie - 47NEW
Estilo de vida - 483
Style de vie - 491
- 506
Style de vie
What changed
Movement between the previous day and June 27, 2026.
New entrants
Risers
CloudEdge#96 → #63
Moonly: Moon Phases & Calendar#85 → #59
Nite - Night Video, Chat#76 → #54
- AlloVoisins
#63 → #43
Co–Star Personalized Astrology#80 → #68
Fallers
Nebula: Spiritual Guidance#64 → #97
The League: Intelligent Dating#49 → #76
Precious - Baby Photo Art#52 → #78
Alarmy - Loud alarm clock#55 → #79
Mignonne - Rencontre coquine#72 → #92
Methodology
Rankings are pulled daily from the iOS store charts for France. We snapshot the top entries each day and compute day-over-day change relative to the prior snapshot. See our full methodology for data sources, refresh cadences, and quality filters.
Frequently asked questions
What is the #1 Lifestyle — Top Grossing app in France on iOS?
As of June 27, 2026, Tinder Dating App: Date & Chat is the #1 Lifestyle — Top Grossing app in France on iOS, based on the public iOS chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the iOS charts for France every day and computes day-over-day movement. The "Current" page always reflects the latest snapshot; dated archive pages preserve each day's top 50.
Where does Marlvel's ranking data come from?
Rankings are pulled from the public iOS store charts for France. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.