Wish is one of the four largest cross-border e-commerce platforms in the world, with fierce competition. If you want your store to remain profitable, you need to master business skills and methods and use analytical tools to help product positioning. So
Let’s take a look at the advantages of Wish’s cross-border e-commerce seller analysis tool?
1. What are the advantages of Wish cross-border e-commerce seller analysis tool.
1. Daily updates.
Wish cross-border e-commerce seller analysis tool updates content every day, keeping abreast of market trends and understanding what everyone is selling.
2. Data strength.
This tool has tens of millions of data processing records and huge data analysis capabilities to better operate the store.
3. Precision algorithm.
Multi-dimensional and three-dimensional data analysis can fully display historical and current data.
4. Efficient service.
This tool is also equipped with dedicated customer service, who can answer questions at any time and solve problems anytime and anywhere.
2. Core functions of Wish cross-border e-commerce seller analysis tool.
1. Industry statistics.
This function can analyze industry size and sales trends, better grasp industry trends, and discover potential categories.
2. Product statistics.
This function can count product sales trends, hot-selling SKU information and publication time, better understand product adjustment milestones, and learn how to label hot-selling products to optimize sellers’ self-filled labels.
3. Product export.
This function allows one-click export and batch export of products, and supports multiple export templates such as store secretary, Mango store manager, Wish official, etc., to facilitate sellers to quickly distribute goods.
4. Store statistics.
This function can track store sales data, view hot-selling store listings and product adjustment strategies, and track store hot-selling and overseas warehouse products.
5. Product/store comparison.
This function supports multi-dimensional comparison of product and store information, and can find the differences between competing products.
6. Tag statistics.
This function is a tag optimization tool that can obtain popular product tags, related tag recommendations and tag popularity analysis with one click.
3. How to create popular Wish products?
In order to create popular Wish products, you need to select products according to the age of the target customers. The consumption habits and consumption abilities of users of different age groups are also different.
– 14-20 years old: Mainly students, with low income, like low prices and novel products.
– 20-24 years old: New to the workplace, like cheap fashion, accessories, and cosmetics.
– 25-30 years old: First-time parent, loves maternal and infant products.
– 30-34 years old: This group of people has a higher income, pays attention to the quality of goods, and likes formal wear and 3C products.
– 34 years old+: This type of person usually has multiple identities at the same time and has a wide range of needs, such as outdoor sports, home and garden tools, etc.
In short, Wish cross-border e-commerce seller analysis tool can help sellers better understand market trends, tap potential categories, choose appropriate products, and use tag optimization tools to increase valuable exposure. In this highly competitive market, if you want your store to stand out and continue to make profits, use
Wish cross-border e-commerce seller analysis tool is the best choice.
4. Choose products according to seasons and specific holidays.
Festivals and seasons are a very important factor in product selection. Here are some of the best-selling products.
1. Valentine’s Day: accessories, jewelry, watches, bags.
2. Easter: clothing, beauty and cosmetic products, gardening products, outdoor products.
3. Mother’s Day & Father’s Day: fashion accessories, jewelry, watches, bags, greeting cards, consumer electronics, water sports products.
4. Labor Day in the United States: clothing, beauty and beautification products.
5. Halloween: sporting goods, plush toys, jack-o-lanterns, and Cosplay costumes.
6. Thanksgiving: plush toys, gifts, household appliances, beauty cosmetics, and kitchen gadgets.
7. Christmas: shoes and clothing, heating equipment, fashion accessories, jewelry, ski equipment, electronic products.
Choose these popular products to suit different festivals and seasons, which can attract more consumers and increase sales.
5. Select products according to industry zones.
Industries in different regions have different product characteristics. The following are some major industrial zones and their characteristics.
1. Yiwu Industrial Belt: accessories, handicrafts, department stores, cultural and educational products.
2. Guangdong Industrial Belt: bags, shoes and clothing, men’s clothing, 3C electronic products, etc.
3. Wenzhou industrial belt: small commodities, teaching aids, luggage and leather goods, Wenzhou women’s shoes.
4. Ningbo Industrial Belt: home textiles, small household appliances, and daily necessities.
5. Foshan industrial belt: underwear, bras, children’s clothing.
6. Hangzhou Industrial Belt: Women’s clothing and children’s clothing, mainly European and American styles, have high sales in wish.
Understanding the main products in these different regions can help you better choose the right product.
6. Special product categories.
On the Wish platform, plus-size clothing and plus-size shoes are some popular product categories that deserve more attention. By using analytical tools, you can better understand market and product trends, thereby increasing product sales and revenue.
The above introduces the relevant knowledge about the advantages of Wish cross-border e-commerce seller analysis tool. In short, among Wish cross-border e-commerce sellers, choosing the right product is crucial. By considering mobile terminal characteristics, seasons and specific festivals, regional industry zones, and special product categories, you can better select products that suit the market and obtain higher sales and more revenue on the platform. At the same time, using analytical tools can provide a better understanding of market dynamics and help make more informed choices.