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It is often said in the cross-border industry: The end of working for Amazon is either "changing careers" or "going it alone." In the recent golden September and October, the dynamics of the cross-border workplace seem to have verified this old saying again. As the salary and benefits of some positions are not as good as before, while some job seekers choose to continue looking for their ideal jobs, many cross-border practitioners are considering going it alone. ▲ The picture comes from the seller’s disclosure However, the wild growth period of the cross-border e-commerce industry has long ended. In the past two years, under the shackles of factors such as the platform risk control upgrade and intensified market competition, the trial and error costs of Amazon going it alone have become increasingly high. There are countless cases in the industry where companies blindly followed suit and ended up in dismal failure. As the industry environment becomes increasingly complex, many sellers can’t help but wonder: In 2024, will Amazon still be suitable for small sellers?
It is learned that in 2024, Amazon's global seller group will continue to grow. Data shows that as of the end of September, Amazon has 839,900 new sellers joining , and about 3,700 new sellers are added every day. At this growth rate, it is expected that by the end of the year, Amazon will have 9.7 million sellers and 1.9 million active sellers. From this point of view, despite the widespread voices such as "Amazon is becoming increasingly difficult to do business", a large number of sellers are still attracted to Amazon's wealth-making stories. Among them, there are many Amazon individual sellers who choose to work alone. However, according to statistics, the success rate of individual entrepreneurship is about 1%-5% , and the failure rate is 95%-99%. This means that for individual sellers with average resources, the margin of error in starting a business is extremely low, and Amazon is no exception. Wang Sheng (pseudonym), who has been in Amazon for two years, has a deep feeling about this. In 2022, he resolutely entered Amazon, an industry full of development potential, without any experience in e-commerce and foreign trade. However, after two years of operation, most of the products he selected failed to be successfully sold , and the money he earned so far is almost equal to the inventory, and he is unable to make ends meet. Lin An (pseudonym), who has been working on his own for three years, also had a similarly rough experience. Attracted by the high degree of freedom and the potential for wealth creation, he chose to quit his job and start his own business after saving tens of thousands of yuan. However, due to a mistake in product selection , he not only lost all his savings, but also was burdened with debt. Looking back at the cases of small sellers who have failed in recent years, the vast majority of sellers entered the market with the "dream of getting rich through cross-border e-commerce", but they did not have clear entrepreneurial goals, had limited experience, funds and resources, and were unable to conduct in-depth market and product analysis, which led to various restrictions and challenges during operations, resulting in heavy losses. From this point of view, the reasons why these sellers failed to succeed as independent sellers are mostly due to themselves rather than the environment. So, is there still room for small sellers with limited funds, resources, manpower and other factors to survive on Amazon today? The answer is of course yes: yes, but you need to set clear goals, with "survival" as the main direction. ▼ The following will reveal some of the key factors for the success of small businesses
As we all know, Amazon is a platform that focuses on product planning. "70% product selection, 30% operation", for Amazon sellers, whether the product selection meets the needs of the market and users directly affects the market competitiveness and profitability of Amazon stores. Therefore, for Amazon sellers, if they want to "survive", they must first find reliable products. However, due to the complexity of market data, small sellers operating independently on Amazon often have limited funds and no supply chain support. Some new sellers also lack operational experience. Therefore, they often encounter many difficulties when selecting products, such as difficulty in market research and difficulty in finding their own positioning. Therefore, at a time when competition is becoming increasingly fierce both inside and outside the platform and the overall economic environment is turbulent, for small Amazon sellers with extremely low tolerance for error, "feeling their way across the river" in product selection has clearly become the strategy with the highest survival rate. In other words, the key to survival for small sellers is to find the right sellers and imitate their product selection ideas. Finding "long-tail sellers" is a good way to break through. A senior seller said that on the Amazon platform, a considerable number of sellers have business strategies that are surprisingly similar to the long-tail theory. Due to limited resources, in order to avoid the fierce competition in the head categories, they chose a more flexible and practical survival strategy, that is, relying on products with less competition such as the tail of the category to survive, and they are classified as "long-tail sellers." In terms of profit, the store profits of these long-tail sellers are mostly between 30,000 and 50,000 . Although not as high as the big sellers who can easily make hundreds of thousands or even hundreds of millions, it is obviously quite attractive to individual small sellers who want to "survive" and pursue freedom. However, it is worth mentioning that this kind of "imitation" is not "copying", which will intensify the internal competition of the same product. Instead, it allows small sellers to refer to the product selection ideas of these long-tail sellers, find potential tracks and growth opportunities , and survive through differentiated competition. Xiao Xie, who once suffered losses and debts due to wrong decisions, successfully earned 30,000 yuan a month by relying on this product selection method. Generally speaking, the industry usually uses big data product selection software on the market, inputs various fields, and based on experience, uses tables to record and analyze each product's ASIN, category, review and other data among the tens of thousands of products found. The sellers are then analyzed based on the data to filter out those that do not meet the requirements. However, this type of method relies more on manual data analysis, which is time-consuming and labor-intensive. Not only is it criticized by experienced and senior sellers for its low efficiency, but for small sellers who are just entering the industry, the huge, complex and diverse data sets are like "hieroglyphics". So, is there a simpler and more efficient way in the industry to find “long-tail sellers” ? Of course there is an answer: that is to use SellerChuanHai , a product selection tool tailored for Amazon sellers. Many people may not know much about this new product selection tool, so let me first talk about its background. Its founder was a small seller on Amazon . He had no money, no resources, and no background. He bought goods from 1688 and insisted on white hat gameplay (no fake orders, no fake reviews, no black technology). After more than ten years of hard work (almost all the pitfalls such as infringement, account hanging, internal friction of the company, logistics problems, funding problems, and management problems), his annual sales have exceeded 100 million . The product selection tool for sellers, Seller Chuanhai, incorporates their 12 years of product selection logic strategy, profit model experience, etc., and is highly compatible with small sellers. Specifically, compared with the big data product selection tools on the market, SellerChuanhai has several unique highlights: 1. Unique Amazon seller group portrait pool SellerChuanHai's seller group portrait pool adheres to the principle of "know yourself and know your enemy, and you will never be defeated in a hundred battles". It combines the 12-year business experience of its founder from 0 to 100 million-level sellers, and uses big data models + AI algorithms, combined with the judgment of sellers' business models, profit models, etc., to ultimately divide Amazon's seller groups into 12 portraits (including long-tail sellers). Each portrait group has an analysis of its strengths and weaknesses and strategies for small sellers to deal with it. (For example, lazy sellers refer to those who do side jobs and invest less time and money. Small sellers can invest more resources and energy to surpass them.) With these portraits, small sellers can not only quickly find long-tail sellers, but also understand and learn the business models, product selection ideas, etc. of different seller groups, so as to gain insight into the overall competitive situation of knowing both themselves and their competitors, thereby helping small sellers quickly find products that meet their own positioning and market demand, and quickly create differentiation and increase their success rate. 2. Original product selection opportunity index scoring system + product selection auxiliary line The Sellers' Product Selection Opportunity Index Scoring System integrates the screening and evaluation of the three key dimensions of sellers, categories and products. Through intelligent algorithm models, it directly generates intuitive product selection opportunity index scores, allowing sellers to see at a glance the market competitiveness, growth potential and profit margin of each product. At the same time, Sellers' Product Selection Assistant Line helps sellers quickly determine whether a product's core indicators are qualified from multiple dimensions such as monthly sales, gross profit margin, store ratings, and monopoly rate. These two functions can better help improve the accuracy and success rate of product selection judgments . 3. Original visual panoramic product selection interface Unlike other product selection tools, sellers no longer need to tediously input various parameters or screening conditions. Relying on powerful big data processing and intelligent matching technology, the system can automatically capture and understand the needs and preferences of sellers, quickly filter out products that do not meet the conditions or have poor market prospects, and select the most promising ones and present them to sellers intuitively. The entire process is visualized, which greatly improves product selection efficiency . 4. Find the source of goods + check patents + operation strategyIn order to facilitate sellers to deeply analyze products, Seller Chuanhai also supports direct jump to 1688 to find sources of goods, helping sellers quickly obtain product cost information and efficiently calculate profits . In addition, in response to the infringement issues that sellers are most concerned about, Seller Chuanhai supports direct query of product appearance patents. Sellers only need to upload product pictures or select from ASIN to check whether the product has a patent, greatly reducing the risk of infringement . In fact, SellerChuanHai can not only select products, it also provides support for operational strategies. For each product, SellerChuanHai has operational strategy guidance, teaching you how to differentiate, select keywords, etc., to help you greatly improve operational efficiency .
In addition, SellerChuanhai has many other functions such as sub-category monitoring and reverse lookup of business opportunity words . Due to limited space, I will not introduce them one by one here. If you are interested, you can try it for free! Scan the QR code to try it for free👇 Finally, whether you are working alone on Amazon or not, the most important thing in product selection is to increase the success rate. Using a tool like SellerChuanHai that has mature product selection logic support is the simplest method. It has summarized it for you with 12 years of practical experience. As long as you use it well, it is not that difficult to earn 30,000 to 50,000 yuan a month.
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