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Savana - Fashion from London

Savana - Fashion from London

Mayfair Internet Technology Limited

Shopping免费v8.48.2
App Store
评分

4.5

20,408 条评分

星级

★★★★★

最近更新

2026年5月15日

发布日期

2024年8月28日

更新内容

v8.48.2

Savana's Heatwave Guide 101 1. Grab a mango smoothie (trust us on this one) 2. Go full linen this summer, your wardrobe will thank you 3. Choose the sea. Always the sea. 4. Say goodbye to return hassles! You can now use audio notes to send a quick voice message with any return, and we'll handle the rest. Drop your frustrations into a little audio note the next time you submit a return. Check it out with this app update, you might just get used to it.

应用信息

开发者
Mayfair Internet Technology Limited
分类
Shopping
价格
免费
版本
8.48.2
App ID
6630376768

简介

Introducing Savana, for all the ways you love to dress. Step into the spotlight with styles inspired by the hottest trends, so your fit checks are always on point! Join the #SavanaSquad and embrace your inner trendsetter as we curate statement pieces straight from your moodboard to empower you to dress for the adventure of everyday life. Savana’s social-first approach transcends boundaries, inviting you to a world where fashion knows no limits. With the support of our vibrant community, we're reshaping the fashion landscape one outfit at a time. Experience a whole new energy on our app: - New Styles added daily: Experience the thrill of early access to exclusive drops, flash sales. - Exclusive offers - Be the first to know about our exclusive offers that'll set your pulse racing. - Fast and secure checkout: With secure checkout and multiple payment options, your fashion dreams are just a tap away. - Track your order - Delivery tracked straight from checkout to your door. - Easy returns - Shopping made easy with fuss-free returns, no questions asked. - Free Shipping on all order - makes your life easy. We can’t wait to see you on the Savana app! You can also find us on: https://www.instagram.com/savana_ar

下载量预测

专业 · 预览

预估总下载量

1.5M1.0M2.9M
保守估计乐观估计

49K

低 / 月

72K

预估 / 月

139K

高 / 月

基于20,408 条评分
假设评分率1.4%
应用年龄21 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。