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Best Western to Go

Best Western to Go

Best Western International

Travel免费v7.4.7
App Store
评分

4.8

79,498 条评分

星级

★★★★★

最近更新

2026年3月30日

发布日期

2009年12月17日

更新内容

v7.4.7

We've made some important updates to improve your app experience: What's New: - Optimization/Bug fixes for better performance Thank you for using our app! Enjoy the latest improvements!

应用信息

开发者
Best Western International
分类
Travel
价格
免费
版本
7.4.7
App ID
343620821

简介

It is time to go with Best Western To Go!® Search any of our 18 brands located in over 100 countries worldwide. Easily book your stay, review upcoming or past reservations and view the details of your Best Western Rewards account. BOOK YOUR NEXT TRIP From business to a weekend getaways, plan your next trip. Search by city, country or nearby attraction. Traveling with a pet, or need an EV Charging Station? Easily filter your results to find the hotel that matches your needs. A few simple clicks will have you finding a hotel and the perfect room for your next trip. MANAGE YOUR TRAVEL View any upcoming stays, or retrieve past reservations. Enjoy a hotel? Easily book another stay with a few simple clicks. BEST WESTERN REWARDS Our award winning loyalty program offers; • BWR® Exclusive Rates • Worldwide Free Night Redemption • Points Never Expire • Status Match….No Catch® • Rich Rewards & Incentives Not yet a member, you can join on the app, it is free to join. With the Best Western to Go! app, you can: - Search and book reservations for any Best Western hotel worldwide - Find nearby restaurants, attractions, transportation and more - Easily enroll in Best Western Rewards, a top three industry loyalty program - Access and manage your Best Western Rewards® account - Check existing reservations - Share your travel plans before, during and after your trip - Available in English, French, German, Italian, and Spanish Follow @TheBestWestern for travel information and become a fan of Best Western Facebook.

下载量预测

专业 · 预览

预估总下载量

5.9M4.0M11.4M
保守估计乐观估计

20K

低 / 月

29K

预估 / 月

57K

高 / 月

基于79,498 条评分
假设评分率1.4%
应用年龄200 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。