返回榜单
Rio Grande CU Mobile

Rio Grande CU Mobile

Rio Grande Credit Union

Finance免费v5.14.93
App Store
评分

4.8

7,567 条评分

星级

★★★★★

最近更新

2025年11月12日

发布日期

2013年8月7日

更新内容

v5.14.93

Thanks for using the RGCU Mobile App! This update brings a smoother experience and some fantastic new features: • New seamless user interface • Added quality of life features to make your digital banking life easier We’re always working to improve your mobile banking experience. Stay tuned for more updates!

应用信息

开发者
Rio Grande Credit Union
分类
Finance
价格
免费
版本
5.14.93
App ID
680251403

简介

Rio Grande Credit Union Mobile Banking puts the power of managing your finances right at your fingertips—anytime, anywhere. With our secure and easy-to-use app, you can: Account Balances - Check account balances in real-time. Transactions - View transaction history with detailed insights. Transfers – Easily transfer money between your RGCU accounts. Bill Pay – Schedule payments, view recent payments and pay bills. Find Us – Get GPS-enabled directions to nearby branches and ATMs. Contact Us – Send secure messages to our support team for assistance. Text Messaging – See your balance and recent transactions via text message. Your security is our top priority. RGCU's mobile banking app is as secure as Internet Banking, protected by advance technology such as SSL encryption. No private data - including your account information - is ever stored on your mobile device. Learn more at https://www.rgcu.org/resources/privacy-policy. For more information about mobile banking, please visit https://www.rgcu.org or contact the Member Resource Center at (505) 262-1401. * Must be enrolled in online banking. **Your mobile device carrier’s standard charges may apply. System availability and response time is subject to market conditions. ***Location permissions are necessary to determine your current location to display nearby branches and ATMs.

下载量预测

专业 · 预览

预估总下载量

1.0M757K1.5M
保守估计乐观估计

5K

低 / 月

6K

预估 / 月

10K

高 / 月

基于7,567 条评分
假设评分率0.8%
应用年龄156 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。