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Lush Fresh Handmade Cosmetics

Lush Fresh Handmade Cosmetics

Lush Cosmetics Ltd

Shopping免费v5.14.1Android
Google Play
评分

2.2

2,199 条评分

星级

★★☆☆☆

最近更新

2026年4月22日

发布日期

2023年3月10日

更新内容

v5.14.1

Various improvements and fixes.

应用信息

开发者
Lush Cosmetics Ltd
分类
Shopping
价格
免费
版本
5.14.1
安装量
1,000,000+
包名
com.lush.app

简介

Explore the world-famous Lush experience—now in your pocket. Browse hundreds of bath bombs, soaps and skincare products, discover ethical body care innovations, and curate your own makeup kit or gift in just a few taps. Why download? • Early access & exclusives—shop limited-edition drops before anyone else and get a $5 welcome credit when you join Lush Club • Lush Lens: our in-app beauty product scanner that instantly reveals ingredients, benefits, and how-to-use tips—just point your camera at any “naked” (package-free) product • Immersive Bathe Mode—press play, dim the lights and turn your tub into a multisensory spa session • Personalized wishlists, order history, and rewards in one place Shop it all • Iconic bath bombs & bubble bars for color-changing, mood-boosting soaks • Fresh vegan skincare—from nourishing face masks to cult cleansers • Everyday body care staples: handmade soaps, lotions, solid perfumes, and more • Zero-waste hair care bars, conditioners, and treatments for every texture • Colorful lip tints & lip glosses, plus gift-ready bundles for any budget • Looking for inspiration? The in-app makeup store filter lets you sort by benefit, scent, or price in seconds Good for you, good for the planet • 66% of our range is package-free, and 100% is cruelty-free • Ethically sourced essential oils, fresh fruit & vegetables, and fair-trade butters in every batch • Track limited-run “Leaving Soon” items so none of your favorites slip away Ready to start your beauty care revolution? Download the Lush app, scan a product, drop in a bath bomb, and feel the fizz!

下载量预测

专业 · 预览

预估总下载量

163K110K314K
保守估计乐观估计

3K

低 / 月

4K

预估 / 月

8K

高 / 月

基于2,199 条评分
假设评分率1.4%
应用年龄39 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。