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Hey Duggee: The Tinsel Badge

Hey Duggee: The Tinsel Badge

BBC Studios Distribution Ltd.

Educational免费v1.5.3Android
Google Play
评分

4.3

1,830 条评分

星级

★★★★☆

最近更新

2025年10月15日

发布日期

2015年12月1日

更新内容

v1.5.3

Minor amends

应用信息

开发者
BBC Studios Distribution Ltd.
分类
Educational
价格
免费
版本
1.5.3
安装量
1,000,000+
包名
com.bbc.heyduggeetinselbadgeapp

简介

Hey Duggee: The Tinsel Badge is the brand new official app for fans of the show and it’s FREE! Christmas is coming but the Clubhouse isn’t looking very Christmassy! Help the Squirrels earn their Tinsel Badge by decorating Duggee’s Christmas tree. Features: Using simple drag-and-drop, tapping and swiping motions: • Cover the tree in tinsel • Hang baubles, bow ties, snowflakes, stars, candy canes and more • Place a special Christmas Squirrel at the very top of the tree • Finally, cover the tree with multi-coloured lights and watch the Clubhouse illuminate A fun and free app for little ones to celebrate the festive season with Duggee. Customer Care: If you experience any technical issues with this app please get in touch. Most issues can be easily fixed and we are happy to help. Contact us at support@scarybeasties.com Privacy: This app does not collect or store any personal data from your device. View our privacy policy here http://www.bbcworldwide.com/privacy.aspx About Studio AKA: London-based STUDIO AKA is a multi-BAFTA winning & Oscar-nominated independent animation studio & production company based in London. They are known internationally for their idiosyncratic & innovative work expressed across an eclectic range of projects. www.studioaka.co.uk About Scary Beasties: Scary Beasties are a mobile and online games designer and developer specialising in kids’ content, from pre-school through to the teen market. Be the first to hear about our other apps: on twitter @scarybeasties or www.facebook.com/scarybeasties A Scary Beasties production for BBC Worldwide

下载量预测

专业 · 预览

预估总下载量

136K92K261K
保守估计乐观估计

720

低 / 月

1K

预估 / 月

2K

高 / 月

基于1,830 条评分
假设评分率1.4%
应用年龄127 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。