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What is a cross-border e-commerce platform focusing on mobile terminals?

青灯夜游
青灯夜游Original
2022-08-11 11:59:3312342browse

The cross-border e-commerce platform focusing on mobile terminals is "Wish". Wish is a mobile cross-border retail e-commerce platform that mainly targets young people and low- and middle-income groups in developed countries. It provides users with product sharing and purchasing services through a wish list model. Its products include shoes, electronic products, kitchen gadgets, and home decoration. and other daily necessities. Wish belongs to the mobile APP shopping model. When users buy things on the APP, they will be pushed to products they have purchased and browsed before. This kind of intelligent recommendation is an application of Internet artificial intelligence, which recommends products that users care about and are interested in.

What is a cross-border e-commerce platform focusing on mobile terminals?

The operating environment of this tutorial: IOS14 system, Wish4.17.0, iphone12 mobile phone.

The cross-border e-commerce platform focusing on mobile is "Wish".

Wish is an American cross-border retail e-commerce platform. It mainly targets young people and low- and middle-income groups in developed countries. It provides users with product sharing and purchasing services through a wish list model. Its products include shoes, Electronic products, kitchen gadgets, home decoration and other daily necessities.

What is a cross-border e-commerce platform focusing on mobile terminals?

##Wish was founded in the United States in 2011 by Peter Szulczewski and Danny Zhang, engineers from Google and Yahoo. It is a cross-border B2C e-commerce platform focusing on mobile shopping. Based on user preferences, the platform uses precise algorithm recommendation technology to push product information to interested users. Wish advocates providing consumers with high-quality products at affordable prices.

Wish belongs to the mobile APP shopping model. When you buy something on the APP, it will push you the products you have purchased and browsed before. This kind of intelligent recommendation is an application of Internet artificial intelligence, which is to recommend products you care about and feel about. products of interest.

Novice sellers choose the Wish platform mainly because Wish’s backend operations, product uploads, advertising, freight settings and copywriting requirements are not as strict as Amazon. If the seller uses ERP software to operate, then It’s even simpler. After getting familiar with it, the overall operating efficiency is very high. Although Wish is easy to place orders and can stably and continuously place orders after placing orders, there are currently many sellers in China and the competition is also fierce.

Most of the existing e-commerce platforms are search-based shopping, that is, when buyers need to buy something, they will search for keywords of related products. Therefore, we can often hear in communication groups such as Amazon and AliExpress how to set keywords, keyword traffic volume, whether Search Terms should be spaces or commas, etc. These are all in-site operations that use search as the main shopping mode. Optimization.

So, Wish also has a search function, but more attention should be paid to its recommendation mechanism. This recommendation mechanism is exactly the same as Amazon listing’s “Frequently bought together”.

The Wish platform puts together two products that are often purchased together based on the buyer’s shopping habits. Although manual intervention is possible, the platform always dynamically captures 2-3 frequently purchased products, so sellers need to pay attention to whether the platform captures their own products.

Wish uses precise algorithm recommendation technology to push product information to interested users. It is a combination of intelligent push and thousands of people. It mainly sets corresponding tags for buyers through the analysis of buyers, including preferences, gender, age, income, etc. For example, buyers’ communication on Facebook, dynamic sharing, etc. will become the data basis on Wish.

Wish’s operation needs to weaken keywords and focus on tags to be in line with the characteristics of Wish’s platform. Therefore, the popular products we see on Amazon may not be popular if you move them directly to Wish.

Although Wish wants to guide sellers to make products in the direction of high-quality products, the current effect is not particularly obvious. As long as your product is suitable for Wish’s algorithm recommendation principle, it will be easy to place the second order after placing the first order. If the refund rate is not high, there will be a stable order volume, which is why new sellers choose Wish and Amazon. However, Wish’s buyer group is mostly young people, unlike Amazon, which is mainly mid- to high-end people. Wish buyers still like new and unique products, and the prices are not too high. This is the biggest difference between Wish and Amazon. Wish cannot make high-priced products, but for sellers who want to develop the US market, they can use Wish to practice their skills. Because it is self-delivered, the risk is much lower than Amazon, but the profit will not be too high and it requires volume.

Wish is more suitable for multi-category store layout

1. Try to stagger product categories and attributes to seize different search keywords and needs;

2. There should not be more than 3 products with the same attributes, styles, and specifications for multiple popular models, and the prices should be staggered from low to high to avoid competition among themselves and leaving customers with no choice;

3. Yes Planning: lay out the product in advance and build it in a stepped manner to avoid gaps and gaps. For example, take a dress as an example. First create the attributes of a floral dress, then a solid color dress, and then a spliced ​​dress. From high neck to round neck to V-neck; from long sleeves to short sleeves to sleeveless. From lace to pure cotton to silk, etc., it is necessary to plan with purpose to create a hot-selling group.

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