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10TV WBNS Columbus, Ohio

10TV WBNS Columbus, Ohio

Tegna Inc.

News免费v50.10.6
App Store
评分

4.8

24,734 条评分

星级

★★★★★

最近更新

2026年5月9日

发布日期

2020年6月8日

更新内容

v50.10.6

Bug Fixes and app improvements

应用信息

开发者
Tegna Inc.
分类
News
价格
免费
版本
50.10.6
App ID
1500283731

简介

Stay up-to-date with the latest news and weather in the Columbus, Ohio area on the all-new free 10TV app from WBNS. Our app features the latest breaking news that impacts you and your family, interactive weather and radar, and live video from our newscasts and local events. LOCAL & BREAKING NEWS • Receive real-time notifications for breaking news • Read the latest news as it happens in your area • Explore exclusive investigative stories • Browse photos, news clips, and raw video LOCAL WEATHER • Daily and hourly forecasts for your city • The latest forecasts from our meteorologists • Interactive radar maps • Sign up for government-issued severe weather alerts in your area LIVE VIDEO • Watch live video newscasts and breaking news from 10TV PERSONALIZATION • Discover and dive into topics that matter to you • Favorite topics to receive personalized updates Other Features: • Share stories & videos directly with your friends and family • See the latest updates and behind the scenes photos from your favorite anchors and reporters • Get information on school delays & closings as they happen • Cast videos and livestreams directly to your TV or streaming device, so you can lean back and enjoy your favorite programming on your biggest screen. This is the official app of WBNS and 10tv.com, the CBS affiliate serving the Columbus, OH area. Got feedback? Let us know how we can make this the best app experience for you! Send us a note at appfeedback@tegna.com. Privacy Policy: https://www.10tv.com/privacy Do Not Sell My Personal Information: https://www.10tv.com/do-not-sell-my-information Terms of Service: https://www.10tv.com/terms

下载量预测

专业 · 预览

预估总下载量

1.8M1.2M3.5M
保守估计乐观估计

17K

低 / 月

25K

预估 / 月

49K

高 / 月

基于24,734 条评分
假设评分率1.4%
应用年龄72 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。