The cross-border e-commerce industry is undergoing rapid changes and vigorous development. It is constantly improving and improving every day. If you want to seize consumers in this industry and gain the favor and recognition of consumption, you must make a good selection of e-commerce products. key. So what kind of e-commerce operation strategy can be predictable and will not be replaced at any time? Let's take a look at the specific introduction with the three-state express!

1. E-commerce product selection skills

1. Choose products according to the audience

The selection of the audience involves different ages, genders, living environment, general hobbies, etc., first determine who you want to sell to, can reduce the error rate of selection. For example, in the United Kingdom, fashion and sports goods are the most popular product categories, followed by travel and household goods, and other popular products include movies, music, books, magazines, and so on. Therefore, when selecting products, we have to consider that the products are suitable for consumers, rather than selling what they look at.

In fact, there are many differences between the shopping habits of foreign people and ours. The simplest example is that our shopping focuses on the word-of-mouth sales of the products. Generally, we prefer the highest-selling products in the market and the ones that sell well. One, we default that one is the best quality and the most cost-effective one. When foreigners shop, they don’t pay attention to sales. They value the introduction, performance, features, and price of the product itself.

2. Big data analysis selection

Research and analyze through some big data platforms to predict the effect. Big data is hotly debated in the industry. Amazon’s category data has reached trillions, and your stereotyped product selection model may be "losing miserable". In the data age, cross-border e-commerce should give priority to efficiency. Based on big data analysis, launching a quick and accurate attack on the target market is the key.

Use crawlers to collect large amounts of data. Tracking data. The amount of data is large enough, which is certain, just like the establishment of a large sample library, so that it has representative significance, and then the establishment of the database. Databases such as SQL store and clean the data for analysis. Analysis software analyzes the data. Statistical software such as SPSS analyzes the above-mentioned software trends and relationships. If there is no analysis software, create an algorithm and let the software complete it automatically.

3. Category selection method

Focus on one category and make the product category in-depth. Focusing on a category with stable sales in the four seasons has the advantage of providing basic sales for the store, accumulating evaluations and reviews. If you use seasonal products to impact sales at a certain stage, but if you fail to make these products, you will be exchanged for a bunch of unsalable products that may take a year, which is very risky. So focus on one category, and then extend and refine it to continuously meet user needs.

4. Seasonal/festival selection method

Seasonal/holiday selection is a good way to increase sales for a period of time. By planning the advancement time of the project, let seasonal/holiday products take advantage of the holiday traffic to explode in the peak season, sell a wave of products, accumulate a period of time to increase sales, accumulate reviews, store feedback, and provide an evaluation basis for the sales of listings at other times . However, the pace of this kind of product selection is relatively tight. The nodes of the project are roughly divided into product selection, research on competing products, supplier negotiation, production, delivery, and arrival sales.

2. Product operation polishing

After selecting a category, it is necessary to sort out the selling points of the product, strive to enter the market at a higher market premium, and establish brand barriers.

1. Differentiation

Solving the differentiation of users' pain points can obtain direct premium capabilities, but first, we must understand the real needs of users. Should truly understand the user’s pain points and make appropriate differentiation

2. Operational feedback

After the product is put on the market, it must be polished according to customer feedback. The feedback collected by front-line customer service is very important. Therefore, it is best for product managers to communicate directly with customers, and strive to launch an improved version of iterative products in a timely manner after the product is tested. ; If the product has been standardized, it is necessary to adjust the sales strategy and transition to the stage of refined operation as soon as possible.

3. Collection and analysis capabilities

If you don’t have your own independent judgment, simply picking up products from the market or choosing products through the recommendations of people around you will make the company slow down forever, lose its competitive advantage in the market, and passively spend time and money. Product operation needs to collect and analyze data through multiple channels, accurately determine market capacity and development trends, understand the strength of competitors, and make the most scientific decisions from product launch to promotion, to after-sales combined marketing and promotion methods.

4. Customer operation and maintenance capabilities

An important part of e-commerce is customer service. Only by handling the details of communicating with customers can we give customers a better shopping experience and increase sales. Excellent operators can use different channels such as listing, reviews, and emails to communicate with customers in a timely and appropriate manner before and after sales to enhance brand awareness and make customers willing to recommend products to more consumers after purchase.