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Mail App for Outlook

Mail App for Outlook

Intrepid

Productivity免费v20.0.16
App Store
评分

4.5

5,287 条评分

星级

★★★★★

最近更新

2026年5月5日

发布日期

2020年12月15日

更新内容

v20.0.16

- Improved sync performance and reliability - Bug fix

应用信息

开发者
Intrepid
分类
Productivity
价格
免费
版本
20.0.16
App ID
1544804494

简介

Mail App for Outlook is a brand new app for the next generation of Outlook. It’s perfect for quickly triaging your inbox and uses Outlook’s blazing fast new platform to instantly send and receive messages. Mail App for for Outlook features: - Privacy Aware No data pass on our servers - Fast tools for managing your email - Rich keyboard shortcuts for even more efficiency - A brand new, rock-solid codebase written entirely in Swift - Instant sync thanks to secure, all-HTTPS communications Note that Mail app for for Outlook a native Outlook app for triaging recent email, but not currently an archival utility for searching your entire history. We’d love to hear what you think about Mail app for Outlook. To reach us, use the in-app support option in settings. Mail App or Outlook is not related to the offical Outlook App or any Micorsoft products. • Mail app for for Outlook include a renewable subscription of $3.99 per week • Price may vary by location and promotion. • Subscriptions will be charged to your credit card through your iTunes account. • Your subscription will automatically renew unless canceled at least 24 hours before the end of the current period. • Manage your subscriptions in Account Settings after purchase. • Any unused portion of a free trial peri​od, will be forfeited when the user purchases a subscription. • Account will be charged for renewal within 24-hours prior to the end of the current period, and identify the cost of the renewal Privacy Policy: https://www.iubenda.com/privacy-policy/57995653 Terms of Service: 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

529K352K1.1M
保守估计乐观估计

5K

低 / 月

8K

预估 / 月

16K

高 / 月

基于5,287 条评分
假设评分率1.0%
应用年龄66 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。