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ClassPass: Fitness, Spa, Salon

ClassPass: Fitness, Spa, Salon

ClassPass, LLC

Health & Fitness免费v10.7.1
App Store
评分

4.8

190,771 条评分

星级

★★★★★

最近更新

2026年5月5日

发布日期

2014年12月18日

更新内容

v10.7.1

Thanks for using ClassPass! This version includes: - General bug fixes and improvements

应用信息

开发者
ClassPass, LLC
分类
Health & Fitness
价格
免费
版本
10.7.1
App ID
912947244

简介

Download ClassPass today to book fitness classes & appointments at the top studios, gyms, salons, and spas near you! How it works: • Download the free ClassPass app. • Sign up for a trial and get credits to try activities like yoga, pilates, gym visits, and more from some of our top-rated businesses. • Browse studios, gyms, salons, & spas near you (pro tip: filter by reservation type, location, time, & more to easily find what you’re looking for!). • Book classes & appointments instantly without needing to create additional accounts or enter payment details. • After your trial, customize a plan that works best with your fitness & wellness routine. • Roll over unused credits up to the number of credits in your next month’s plan. How to make the most of your membership: • Access thousands of the world’s leading fitness studios, gyms, salons and spas including CorePower Yoga, [solidcore], PureBarre, Glosslab, & more! • Browse a list of recommended studios, gyms, salons, & spas curated just for you. • Bookmark your favorites. • Invite friends to class and earn rewards. • Connect with friends who are already on ClassPass. • Receive badges to celebrate your milestones and share them with friends. • Read reviews & ratings to know what to expect with each reservation. ClassPass is available in more than 2,500+ locations including: USA, Canada, Australia, New Zealand, United Kingdom, Ireland, France, Germany, Netherlands, Spain, Portugal, Switzerland, Austria, Sweden, Denmark, Finland, Norway, Singapore, Hong Kong, Malaysia, Thailand, Indonesia, Philippines, China, India, the United Arab Emirates, Brazil, Argentina, & Chile.

下载量预测

专业 · 预览

预估总下载量

17.3M12.7M27.3M
保守估计乐观估计

91K

低 / 月

125K

预估 / 月

196K

高 / 月

基于190,771 条评分
假设评分率1.1%
应用年龄139 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。