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CycleBar

CycleBar

Xponential Fitness LLC

Health & Fitness免费v3.13.116
App Store
评分

4.9

26,427 条评分

星级

★★★★★

最近更新

2026年4月15日

发布日期

2019年3月30日

更新内容

v3.13.116

We’re constantly updating the app to make it better for you. This release includes performance improvements and bug fixes to keep things running smoothly.

应用信息

开发者
Xponential Fitness LLC
分类
Health & Fitness
价格
免费
版本
3.13.116
App ID
1456613207

简介

Welcome to the CycleBar App! Download the app to get the most out of your CycleBar experience. Your personalized home screen will put the info you want the most front and center: upcoming classes, weekly goal progress, and much more! You’ll also be able to keep up with all the classes at your favorite CycleBar studios using our schedule feature! Filter, favorite, and book your way to class. The Apple Watch app lets you view your schedule, check in for class, and track your workouts. Track your class stats from past classes to monitor your performance over time with the Activity Tracking app, and the integration with the Apple Health app allows you to see all your progress in one convenient place. • Check the My Schedule tab to see your upcoming classes and plan the rest of your week. • Bike best in a particular spot? Book and save your perfect spot for each class to get the most out of your ride. • Is your favorite class or instructor 100% booked? Add yourself to the waitlist and stay informed to get your workout in! • Traveling shouldn’t disrupt your health goals, so we’ve made it faster for you to find a local studio with our interactive studio map. • See one you like? Tap into our detailed studio pages to learn more and get booked into class. Join ClassPoints, our loyalty program! Sign up for free and accumulate points with every class you attend. Achieve different status levels and unlock exciting rewards, including retail discounts, access to priority booking, guest passes for your friends, and more! Get ready to ride!

下载量预测

专业 · 预览

预估总下载量

2.4M1.8M3.8M
保守估计乐观估计

20K

低 / 月

28K

预估 / 月

43K

高 / 月

基于26,427 条评分
假设评分率1.1%
应用年龄87 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。