返回榜单
Poppo Live- Live Stream

Poppo Live- Live Stream

Vshow PTE. LTD.

Social Networking免费v3.1.3
App Store
评分

4.3

1,608 条评分

星级

★★★★☆

最近更新

2026年4月21日

发布日期

2021年1月4日

更新内容

v3.1.3

- Added search recommendation feature - Support reporting for private messages and live stream comments - Fix known issues and improve performance

应用信息

开发者
Vshow PTE. LTD.
分类
Social Networking
价格
免费
版本
3.1.3
App ID
1544908797

简介

Poppo Live: From strangers to friends Looking to add some excitement to your everyday life? Want to connect with people nearby and join in on the latest trends? Poppo Live has got you covered! What can you do on Poppo Live? - Meet and interact with local hosts: Connect with charismatic hosts right in your region! Join live streaming rooms where exciting conversations await. Whether you're looking to socialize or be entertained, Poppo Live is the place to be. - Exclusive Influencer Gifts & Special Effects: Watch out for limited-time custom gifts and effects designed by Poppo for your favorite influencers. Make every interaction extra special! - Share Your Moments with VLOGs: Take advantage of our Square and VLOG features to share your daily adventures and talents with the community. It’s a great way to showcase yourself and get noticed. - Engage in Online Parties: Join group live rooms and make new friends all while being part of the lively Poppo community. With so many ways to have fun, you'll never run out of things to do! Why Choose Poppo Live? - Localized Experience: Connect with people near you for a more personalized and relevant social experience. - Dynamic Live Streams: Meet hosts, watch live shows, and participate in fun challenges. - Special Influencer Gifts: Enjoy Poppo-exclusive gifts and effects crafted specifically for influencers. - VLOG & Square: Share your life, talents, and experiences through VLOG and short video content. FOLLOW US: official@poppolive.com

下载量预测

专业 · 预览

预估总下载量

46K32K80K
保守估计乐观估计

495

低 / 月

707

预估 / 月

1K

高 / 月

基于1,608 条评分
假设评分率3.5%
应用年龄65 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。