4.5
14,659 条评分
★★★★☆
2026年5月12日
2015年4月23日
更新内容
v8.35.2Performance improvements and bug fixes.
应用信息
- 开发者
- Cafe Rio, Inc.
- 分类
- Food & Drink
- 价格
- 免费
- 版本
- 8.35.2
- App ID
- 966569884
简介
Things are about to get very tasty! Welcome to the perks of Cafe Rio loyalty. Our My Rio Rewards™ program is as mild or as spicy as you are. How? It’s because we don’t pre-decide your reward. You get to choose! For every $1 spent on food and beverages, you earn 1 point. When you reach 100 points, we serve you a $10 app credit. That app credit can be used toward ANY Cafe Rio food or beverage item. And, app credits do not expire. When it comes to mild or spicy, we’re clearly spicy because this Rewards program is hot! In addition to rewards, the Cafe Rio app gives you fast and easy access to mobile ordering, order status tracking, special offers, location information and more. App Features: • Ordering: Easily reorder your favorites from your Recent & Favorite Orders or place a new order. Choose pick-up or curbside (where available). • Order Ready Service: On the main rewards page, you’ll see when your order is ready. Enable location services and push notifications and we’ll share progress with you. • Location Finder: Easily find Cafe Rio locations with turn-by-turn directions or call us with “one touch” dialing. • Profile: Save your profile information for faster checkout. • Rewards and Exclusive Offers: Enjoy earning free food and receiving special offers! Only available through our mobile app for My Rio Rewards members. What’s New: We have an app update! Why? Because fresh is delicious (and you deserve it). • We have a new look & feel. Explore the menu bar in the upper left corner of the app. • Set up your profile for faster ordering. • Choose curbside delivery (where available). • See your order status from the main Rewards page. • For kiosk locations, easily access the EARN QR Code from the menu to log in to your My Rio Rewards account. • Apple Pay is available to pay your orders.
下载量预测
预估总下载量
5K
低 / 月
8K
预估 / 月
16K
高 / 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。
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下载数据为预估值 · 每6小时更新