the first to do for Amazon product selection, focusing on data and rapid item testing
In the era of e – commerce, domestic e – commerce and cross-border e – commerce play different roles in the competition of profit. On Amazon, 80 % of the operations are based on the selection, how to scientific, accurate, standardized selection, become the main force of cross-border e-commerce profit out of the encirclement.
On July 28, in the Xiamen special session of sf-express international school, the first batch of Amazon selling products from online sales and non – online sales products, based on the scientific and accurate products for online operations, marketing and data feedback on the product, provides a detailed answer.
" for Amazon's sell like hot cakes, we have our own formula to define it: data products ( already sold + new products ) + fast large quantities of goods = hot products; Pre – data precision products can not rely on the data software 100 % accurate selection of hot products, but the best-selling products can be tested, but in the early days we can consider the possibility of selling hot products. " said Wu Jiayang.
Discriminant dimension of data selection?
There are several important dimensions in the data selection of Amazon store: bsr ( best seller rank ), review quantity, category, price, and the seller can do the corresponding quality detection through the comprehensive feedback of the above data. The seller can also use the application of data software to detect the seller's main competitors ber, price, and so on.
1. two strategies for data selection:
The selected products mainly cover the following two strategies: follow the strategy, find out the better products that have been sold on Amazon, sell approximate or the same paragraph; Large – scale rapid measurement of new products. He warned sellers that it was not a breach of the rules or a large number of distribution products, which required the seller to make basic screening and necessary judgment in the early days of the operation of the store.
2. the data dimension of the following policy
1 ) market capacity: under the seller's main category, select the products of the pre – bsr 50, look at their number of review, and approximate the sales volume. In general, sales are generally the number of review by 150; There are at least 30 reviews of a product with a stable market;
2 ) degree of competition: the seller can select five core keywords to search in the platform, and look at the number of search results and related product pages ( i.e the number ); General search results are less than 10000, the number of core words search related products is less than 5 pages, which means that the competition of the product is low; The number of search results in 10,000 – 20000 is medium, the core words 6 – 20 pages are medium level of competition; Then upward is expressed as the high level of market competition, the seller needs to choose according to the actual situation, to avoid a lot of investment in manpower, material resources after the market occupied and eliminated.
3 ) profit space: look at the price, calculate the approximate profit space rate with FBA profit calculator; Generally, the profit margin can be selected more than 30 % of products to sell.
At this point, the seller can weigh the market capacity, profit and degree of competition of the products already sold on the basis of the three above judgments. in such cases, the seller can sell the same or similar products without violating the regulations or safety and legal conditions.
How fast, a lot of measurements, no products sold on Amazon?
For the Amazon platform that already appears with reference to the product, the seller is able to select from the data feedback from other vendors, and how can the seller solve the large number of products that are not available on Amazon, as well as the seller's inability to determine through data whether it can become a hot product?
" we need to dig products through a lot of fast and fast," says Wu Jiayang. ”
1. air survey section
For the air survey, generally is standard parts, stock total 1000 pieces, the amount of 20 – 50, the operation of the basic seller can be 50 for the basic; The standard of air freight survey is that the seller needs to do a good SEO at the beginning of the store, naturally put a week to see if there is a natural list, a week later, the advertising week is not yet a single, the seller should clean out these products, and a single out of the list according to the subsequent expansion of the stock; The operating cycle of the air survey is typically one month to one and a half months; General one year test 6 – 9, because at this time the store has several hot money, they will be the main source of seller's profit and the main source of the fund chain.
2. marine survey paragraph
Seaborne survey is generally the quantity of 500 pieces of large pieces, the amount of the measurement is mainly 20 – 25; The operation cycle of marine measurement is usually about one and a half months to two months, and the seller has three months to prepare for the large-scale promotion, and the annual measurement will be 4 – 6 times. In addition, Wu Jiayang needs to emphasize that for very large, they typically choose a gross margin of 70 % – 80 % of the product to do.
Opportunities are always reserved for those who are prepared In the era of big data, Wu Jiayang suggested that sellers should use the way of store operation and marketing to create profit growth point of the seller's shop in the feedback process of the basic selection and data measurement.