4.7
2,993 条评分
★★★★★
2026年4月26日
2015年9月2日
更新内容
v3.64.10- Bug fixes and improvements
应用信息
- 开发者
- PopShop
- 分类
- Shopping
- 价格
- 免费
- 版本
- 3.64.10
- App ID
- 1009480270
简介
Popshop.live: Your New Shopping Addiction! SHOPPING Swipe, discover, and shop all in one app! Popshop.live is your go-to for the freshest fashion, beauty, collectibles, home goods, and kawaii. Swipe through endless shoppable videos from your fave creators and snag the latest must-haves. You also get to join live-streams with your favorite Creators and interact with them while you shop. With secure payments via credit cards or Apple Pay, shopping has never been this easy. Plus, new creators and thousands of new products drop daily! Follow your favorite creators, get instant notifications when they drop new items, and even create video reviews to earn some sweet referral commissions. SELLING Creators, we’ve made it super simple for you! Sign up in under 5 minutes and set up your e-commerce storefront in just 15. Choose from our massive catalog of over 100,000 products to sell from, or add your own unique finds from your own sourcing. We handle order management, fulfillment, customer support, automatic tax collection, and more. Getting paid? Piece of cake! Just transfer your earnings from your PSL account to your bank. Payments are automatic every 2 weeks. GAMIFICATION Make shopping a blast! Send gifts to friends while watching live streams together, or join the live stream on-camera with a single click. Collect badges, unlock special offers, and snag exclusive products. Sellers ramp up the excitement with our timers, offers, giveaways, and auction features. Create that FOMO and watch your sales skyrocket! LEARN MORE Stay in the loop by following us on Instagram @popshoplive. Don’t miss out on the fun! TL;DR: Popshop.live is the ultimate shopping and selling app for fashion, beauty, and collectibles, complete with gamification features and seamless payment options. Join the fun and start shopping or selling today!
下载量预测
预估总下载量
1K
低 / 月
2K
预估 / 月
3K
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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