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Fandango at Home: Movies & TV

Fandango at Home: Movies & TV

VUDU, Inc.

Entertainment免费v11.0
App Store
评分

4.7

299,602 条评分

星级

★★★★★

最近更新

2026年5月12日

发布日期

2012年1月6日

更新内容

v11.0

• Bug fixes and performance enhancements

应用信息

开发者
VUDU, Inc.
分类
Entertainment
价格
免费
版本
11.0
App ID
487285735

简介

Stream free movies and free TV - plus rent or buy the newest releases and classics - all with no subscription required. Get the free Fandango at Home app and instantly watch thousands of free movies and free TV shows with limited commercials. Movies anywhere makes it easy to enjoy your purchased collection across participating platforms. Connect your Fandango at Home account and watch your eligible digital library on your iPhone, iPad, and Apple TV. You can also stream your purchases using Airplay. Stream for free: Enjoy thousands of free movies and free TV shows with limited commercials. Grow your digital library: Buy or rent new releases and classics and watch across all of your devices. Download your library: Take your purchased movies and TV shows on the go by downloading them to your iOS mobile devices. Bundle & save: Find exclusive discounts, including personalized offers and mix & match bundles. Premium formats: Rent or buy in many premium formats. Safer viewing: Use kids mode with Common Sense Media ratings, reviews, and parental controls. Part of the Fandango family: Check out Fandango for movies still in theaters and link to your FanClub account (if available). By downloading, installing, and using this app, you agree to Fandango’s Privacy Policy (https://www.versantprivacy.com/privacy) and Terms and Policies (https://www.fandango.com/policies/terms-and-policies). Ad Choices: https://www.versantprivacy.com/privacy/cookies Your Privacy Choices: https://www.versantprivacy.com/privacy/notrtoo CA Notice: https://www.versantprivacy.com/privacy/california-consumer-privacy-act

下载量预测

专业 · 预览

预估总下载量

22.2M15.0M42.8M
保守估计乐观估计

86K

低 / 月

127K

预估 / 月

245K

高 / 月

基于299,602 条评分
假设评分率1.4%
应用年龄175 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。