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Movies Anywhere

Movies Anywhere

Movies Anywhere

Entertainment免费v1.69.0
App Store
评分

4.6

73,433 条评分

星级

★★★★★

最近更新

2026年5月1日

发布日期

2017年10月12日

更新内容

v1.69.0

We’ve made the following updates to give you the best Movies Anywhere experience possible: NEW MOVIES TO PRE-ORDER Hoppers FEATURED COLLECTIONS ON MOVIES ANYWHERE Trending in 4K UHD and more! Minor bug fixes

应用信息

开发者
Movies Anywhere
分类
Entertainment
价格
免费
版本
1.69.0
App ID
1245330908

简介

Purchase from your favorite places*, and Movies Anywhere will bring your favorite movies together into one synced collection – for free.** MORE ACCESS IN MORE PLACES Create your free Movies Anywhere account and connect your digital retailers to bring your favorite movies together. Watch them on Movies Anywhere or across any of your connected digital retailer accounts. NO SUBSCRIPTION, NO FEES Creating your Movies Anywhere account and bringing your favorite movies together is free – you only pay for the movies you want to add to your collection. GROW YOUR COLLECTION We find great deals on great movies from different places every day and bring them right to you – it’s a great way to spend a little and watch a lot. Plus, shop new releases or browse our catalog of over 9,000 movies to add to your collection. EXPERIENCE PREMIUM FEATURES Movies Anywhere supports 4K UHD, HDR, Dolby Vision™, as well as 5.1 Surround and Dolby ATMOS™, giving movie lovers a thoroughly immersive movie-watching experience. *From participating retailers only: Apple TV, Amazon Prime Video, Fandango at Home, Google/YouTube, Xfinity, Verizon Fios TV, and DIRECTV. **Registration with Movies Anywhere required. Open to U.S. residents 18+. Movies Anywhere is a trademark of Movies Anywhere, LLC. ©2026 Movies Anywhere. https://moviesanywhere.com/privacy-policy https://moviesanywhere.com/terms-of-use https://moviesanywhere.com/do-not-sell-my-info https://moviesanywhere.com/your-us-state-privacy-rights

下载量预测

专业 · 预览

预估总下载量

5.4M3.7M10.5M
保守估计乐观估计

35K

低 / 月

52K

预估 / 月

100K

高 / 月

基于73,433 条评分
假设评分率1.4%
应用年龄105 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。