Watercress launched mobile shopping guide APP "things"

Source: Internet
Author: User
Keywords Watercress mobile shopping guide APP
Tags app comment created data design digital function guide

Text / Sohu IT Zhang Rui

Watercress today introduced a new mobile product, something APP, this is the watercress shopping guide product "something" mobile version, it seems the watercress is to conduct shopping guide in the end.

Similar to the web-end function, APP is divided into two parts: "discover something" and "browse by category". There are men's, women's, home's, digital, outdoor and design sense categories in the category. Users can "like", comment on, or buy.

Watercress things on the line last September ("Watercress stuff: return to the material life"), according to the data given by Douban, the current user-created beans (custom list of shared and collectible items) over 600,000, has been from Taobao, Tmall, JD.com, Amazon (China), Etsy, Fancy, Amazon, Japan Lotte and other domestic and foreign more than 40 e-commerce website product sharing, the average purchase conversion rate of 3.3%.

Shopping guide business model is very simple, formed after the purchase and the seller into. Watercress things can talk about the flow of existing user traffic bean, and now this model extends to the mobile terminal, you can help Douban get more active users, better cash.

Compared with similar products, the action of watercress a little slow, when the original stuff on the line when the beautiful said Mushroom Street and other shopping sites have been busy for a long time, but now the shopping guide APP is a large number of mobile terminals.

However, watercress things have its own characteristics, the introduction of watercress, watercress things to share and shopping experience all from the user, things operating team is only responsible for handling spam, so things on the watercress stuff with its users, are more literary small Fresh. Second, Douban recommended algorithm can be used here, through user interaction to understand their preferences, to recommend more personalized products.

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