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Christmas Countdown

Christmas Countdown

Nicole Hankinson

Lifestyle免费v2026.01
App Store
评分

4.6

853 条评分

星级

★★★★★

最近更新

2026年1月2日

发布日期

2009年8月21日

更新内容

v2026.01

+ Fixed an issue where some users may see 'Merry Christmas' a day early.

应用信息

开发者
Nicole Hankinson
分类
Lifestyle
价格
免费
版本
2026.01
App ID
325476623

简介

With Christmas Countdown, you always know exactly how long it is until Christmas. When you open the app, you will receive the exact countdown including Hours, Minutes and Seconds. You can even post to Facebook to annoy or keep your friends informed! Christmas music will play in the background as you see the countdown get closer and closer to Christmas! You can either pick a song from your own music library or choose from the following Christmas inspired songs: - Dance Of The Sugar Plum Fairies - Jesu, Joy of Man's Desiring - Jingle Bells - Oh Christmas Tree - Oh Holy Night - What Child is This Also, each morning Christmas Countdown will automatically update its badge, so that the number of days will be displayed letting you always know exactly how far away Christmas is. Multiple choices for Christmas backgrounds including: - Snowman - Santa - Reindeer - And import your own! Either from your photo library or your camera. You can double tap the screen to open the options screen. This will allow you to change the number of snowflakes as well as the speed & size. Christmas Countdown now includes a watch app and widgets, so you can keep track of the countdown right from your wrist and home screen! If you like Snow, Christmas, Santa, Elves, Snowflakes, Reindeer or Presents, then this is the App for you! Some features such as extra snowflake colors, yearly updated app icons and removing advertisements require the Christmas Countdown premium subscription. Privacy Policy: https://ngdevelopment.org/privacypolicy.html EULA: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

下载量预测

专业 · 预览

预估总下载量

63K43K122K
保守估计乐观估计

209

低 / 月

310

预估 / 月

597

高 / 月

基于853 条评分
假设评分率1.4%
应用年龄204 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。