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Daily Burn: Workout Coach

Daily Burn: Workout Coach

Daily Burn, Inc

Health & Fitness免费v7.1.3
App Store
评分

4.8

14,227 条评分

星级

★★★★★

最近更新

2026年4月21日

发布日期

2011年12月10日

更新内容

v7.1.3

What's New: * Unread coach message badge updates instantly * Nutrition plan refreshes when you return to the tab * Various bug fixes and stability improvements

应用信息

开发者
Daily Burn, Inc
分类
Health & Fitness
价格
免费
版本
7.1.3
App ID
472322122

简介

Daily Burn is the at-home workout app with Daily Burn Coaching—so you always know what to do next. DAILY BURN COACHING (1:1 SUPPORT) Get more than workouts. Get guidance. · A personalized plan built around your goals, fitness level, and preferences · Message your coach in-app for real-time support, accountability, and expert advice · Share progress and get feedback with text, audio, photos, and video WORKOUTS FOR EVERY GOAL Choose from thousands of audio + video workouts, including: · Strength training, dumbbell workouts, cardio, HIIT · Yoga, Pilates, mobility, stretching, meditation · Dance, postnatal, and more Have 10 minutes? 30? 60? There’s always something that fits your schedule. DAILY BURN 365 — NEW CLASS EVERY WEEKDAY Don’t feel like choosing? Stream Daily Burn 365 and join the community chat during and after every session (weekdays at 9am ET). STAY MOTIVATED WITH COMMUNITY Connect with members and trainers through live chat and in-app messaging to celebrate wins, ask questions, and stay inspired. STREAM ANYWHERE Access Daily Burn on iPhone, iPad, desktop, or laptop. Cast to your TV using Apple TV, Roku, Amazon Fire, or stream via AirPlay. Sync with Apple Health (iPhone and iPod touch only) and share activity with Apple Watch, Fitbit, and more. Daily Burn isn’t just a fitness app—it’s coaching, workouts, and a community that grows with you. SUBSCRIPTION INFO Cancel anytime in your iTunes account settings. Subscription automatically renews unless canceled at least 24 hours before the end of the current period.

下载量预测

专业 · 预览

预估总下载量

1.3M948K2.0M
保守估计乐观估计

5K

低 / 月

7K

预估 / 月

12K

高 / 月

基于14,227 条评分
假设评分率1.1%
应用年龄176 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。