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Global Blue - Shop Tax Free

Global Blue - Shop Tax Free

Global Blue Marketing Services Ltd

Travel免费v4.9.1
App Store
评分

3.3

877 条评分

星级

★★★☆☆

最近更新

2026年5月11日

发布日期

2013年10月16日

更新内容

v4.9.1

Thanks for using the Shop Tax Free app. We update the app as often as possible to improve the features, and the performance.

应用信息

开发者
Global Blue Marketing Services Ltd
分类
Travel
价格
免费
版本
4.9.1
App ID
693120896

简介

The SHOP TAX FREE app is free with everything you need to shop the world in the palm of your hand. You can now confidently find, shop and refund on your mobile. The new SHOP TAX FREE app can help you: • Track your tax refunds instantly see how much you’re saving • Find your favourite brands and stores • Quickly find minimum purchase amounts and the tax free shopping rules and information • Save time, with autofill of tax free forms • Find the most convenient refund locations in the city and the airport Designed as the best-in-class tax free shopping companion, the app provides a seamless and personalised experience at every stage of your tax free shopping journey. Built with the latest mapping technology, you can now easily find stores you love and explore top shopping destinations. It comes complete with a comprehensive range of tools to help you actively manage all the steps in the tax refund process, including live tracking your refund and of course the Membership barcode. The app is now available in English, Russian, French, Arabic and Simplified Chinese. Download the app today. Features include: • Advanced mapping and geo location technologies • One touch enrolment through passport scanning • One touch Tax Free Form tracker • Live tracking and visibility of tax refunds and status • In app alerts e.g. when your tax refund status changes, and welcome to a new country with the tax information • Built-in Membership barcode, which can be added to Apple Wallet • Customs and Refund locations

下载量预测

专业 · 预览

预估总下载量

65K44K125K
保守估计乐观估计

287

低 / 月

425

预估 / 月

819

高 / 月

基于877 条评分
假设评分率1.4%
应用年龄153 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。