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Dairy Queen® Food & Treats

Dairy Queen® Food & Treats

International Dairy Queen®️

Food & Drink免费v4.11.0Android
Google Play
评分

4.2

69,969 条评分

星级

★★★★☆

最近更新

2026年4月29日

发布日期

2018年5月22日

更新内容

v4.11.0

Miscellaneous enhancements and bug fixes

应用信息

开发者
International Dairy Queen®️
分类
Food & Drink
价格
免费
版本
4.11.0
安装量
10,000,000+
包名
com.olo.dairyqueen.production

简介

Life's Sweet with the DQ® App! Satisfy your cravings with easy ordering and get food fast at Dairy Queen®. Plus, earn food rewards and receive exclusive deals that are only available through the App. Explore the Menu Discover new and limited-time menu items and indulge in the latest Blizzard® of the Month. From burgers to chicken baskets, fries to cakes, and of course, Blizzard® Treats, there's something for everyone. Earn with DQ® Rewards Order food through the App or scan your phone at the register to earn 10 DQ® Rewards Points for every $1 spent. Save your DQ® Points to redeem food rewards on your favorite menu items, and as you earn more DQ® Points, the food rewards get bigger. Plus, get a sweet surprise on your birthday! Available at participating restaurants. Order Ahead & One-Click Re-ordering Customize your order in the App, earn food rewards, and get your food fast, just the way you like it. Enjoy your favorites again and again with easy one-click reordering. Available at participating restaurants. Save with Weekly Deals Access new deals every week, including app-exclusive Mobile Monday deals. Available at participating restaurants. Find Restaurants Near You Easily find and favorite DQ® restaurants near you, and get your food fast. For those in Texas, use the DQ® Texas App to find nearby restaurants. Download the DQ® App Now! Download the App and order food fast, save with exclusive deals, earn rewards with DQ® Points, and redeem for free food at participating Dairy Queen restaurants all in the DQ® App.

下载量预测

专业 · 预览

预估总下载量

5.2M3.5M10.0M
保守估计乐观估计

36K

低 / 月

53K

预估 / 月

103K

高 / 月

基于69,969 条评分
假设评分率1.4%
应用年龄97 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。