4.8
465,315 条评分
★★★★★
2026年5月12日
2010年10月19日
更新内容
v9.1.0Welcome, Safeco customers! You can download the Liberty Mutual app and log in with your same credentials.
应用信息
- 开发者
- Liberty Mutual
- 分类
- Finance
- 价格
- 免费
- 版本
- 9.1.0
- App ID
- 397404511
简介
Welcome, Safeco customers! Starting April 25, 2026, you can download the Liberty Mutual app and log in with your same credentials. This app is your one-stop insurance resource. Log in fast and securely with Touch ID or Face ID. Access insurance cards and manage your policy or claim anywhere, anytime. You can even get rewarded for safe driving by participating in RightTrack. RightTrack runs in the background and automatically captures driving information using sensors. We’re here for what you need - Send insurance cards to Apple Wallet - Get to know your coverages - Drive safe and save with RightTrack - Stay safe driving with accident detection - Sign up for paperless billing and Autopay - Stay up to date with push notifications - Easily make policy changes - Access important documents - Quickly contact your Independent Agent We’re here when you need - Tap to call Roadside Assistance, 24/7 - File a claim and get status updates - Upload damage photos and get estimates fast - Schedule a damage review - Reserve a rental vehicle - Access claim information and documents Permissions needed for RightTrack users - RightTrack uses foreground services to enhance user safety, ensure accurate trip recording, and provide valuable feedback to the user regarding their driving behavior. It's essential for detecting when you start a drive and to accurately log the route taken, driving behavior, and other relevant metrics. - The service is activated when you begin driving. This is detected through user interaction with the app and/or automatic detection algorithms that recognize driving activity. - RightTrack collects data such as speed, acceleration, braking, and route information, which are needed for assessing driving behavior and providing feedback for safer driving practices.
下载量预测
预估总下载量
245K
低 / 月
327K
预估 / 月
490K
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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