
Archived App
This is an archived listing of the app previously available on the App Store.Although the app is no longer distributed by Apple, you can still view its description, screenshots, version history, ratings, and metadata for reference.
Details
About
This app provides e-commerce data analysis for product selection and sales. It helps merchants discover trending products, manage multiple stores, and analyze supplier data to boost sales. It offers tools for product selection, trend analysis, and store management.
What's New in 抖小店
4.1.3
June 21, 2023
1、修复已知bug。 2、优化用户体验。
User reviews
Developer apps
FAQ
What does the 抖小店 app do?
This app is a data analysis tool for e-commerce, focusing on product selection and sales. It helps users identify trending products, manage their online stores, and analyze supplier information to increase sales. It offers a comprehensive service for the entire product lifecycle, from selection to sales.
What are the key features of 抖小店?
Key features include daily trending product rankings to help discover popular items, recommendations for quality stores with clear sales data, and insights into hot new products. It also provides tools for managing multiple merchant stores, handling supplier information, and monitoring product performance.
Is 抖小店 a free app?
Based on the provided information, the app is listed as free. There are no mentions of subscription fees or in-app purchases within the description.
Who is the target audience for 抖小店?
The app is designed for various roles within the e-commerce ecosystem, including suppliers, merchants on short video platforms (like Douyin), and content creators (达人). It aims to assist anyone involved in selecting products, managing stores, and driving sales through these platforms.
How does 抖小店 help with product selection?
The app provides daily product rankings such as potential, quality, and bestseller lists to help users discover trending products and sales opportunities. It also offers customizable product monitoring to track specific items and identify potential bestsellers in real-time, giving users a comprehensive view of selection trends.