Top Lifestyle — Top Grossing apps in Italy 🇮🇹
As of June 18, 2026, Tinder Dating App: Date & Chat is the #1 Lifestyle — Top Grossing app in Italy on iOS.
#App / PublisherCategoryIntel
- 1

- 2

- 3

- 41

- 51

- 6

- 7

- 81

- 92

- 102
Style de vie - 111

- 12

- 13

- 144

- 15

- 162

- 171

- 182

- 199

- 203

- 214

- 222
Estilo de vida - 231

- 241

- 254

- 265

- 27NEW

- 282

- 291
Estilo de vida - 3011

- 3112

- 3217

- 338
Home V - Smart CameraPuwell Technology Inc.
Estilo de vida - 3410

- 351

- 366

- 373
Estilo de vida - 387

- 3912

- 406
Stili e tendenze - 4113
Estilo de vida - 4210

- 4318

- 4411

- 457
Estilo de vida - 467

- 4712

- 485

- 4918

- 505
Style de vie
What changed
Movement between the previous day and June 18, 2026.
New entrants




Aprilia#59
Risers
Amora: A Hint of Your Soulmate#100 → #54
FreeControl#89 → #63
MyScreen - Live Wallpapers#74 → #53
YoHo TV -- Drama & Chat#81 → #61
Precious - Baby Photo Art#61 → #43
Fallers
FamiSafe: Parental Control App#40 → #81
Dazz – Videollamadas en vivo#60 → #99
FoFoChat-Group Voice Chat Room#58 → #89
Planta: AI Plant & Garden Care#37 → #66
Câmera de Segurança IP: Visory#73 → #96
Methodology
Rankings are pulled daily from the iOS store charts for Italy. 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 Italy on iOS?
As of June 18, 2026, Tinder Dating App: Date & Chat is the #1 Lifestyle — Top Grossing app in Italy on iOS, based on the public iOS chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the iOS charts for Italy 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 Italy. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.