In the process of selecting products on Amazon, it is very necessary to use sales evaluation to assist in decision-making on whether to select products. But how do we judge the sales volume of a product?
Generally speaking, it can be achieved through a combination of the following four aspects:
1. Add to cart
Add the listing you are using as a reference to the shopping cart, and then set the order quantity to the maximum quantity of 999. If the other party's inventory quantity is less than 999, you will be prompted with the number of items available for sale (as shown below), so that you will know the current inventory quantity of the listing. Repeat the above steps the next day for one or two weeks, and average the recorded data to get a rough idea of the average daily sales of the listing. Then, based on your own operational goals, think about whether such sales volume meets your expectations. If so, you can preliminarily determine it as a product selection target.
Of course, this method has its drawbacks after all. Once the object you are concerned about sets a maximum order quantity (Max Order Quantity), this testing method will become obsolete. In that case, we can solve it by the following method.
2. Based on the number of product reviews
Sellers who have experience in operating on Amazon know that it is very difficult to get customers to leave reviews. No matter how hard you try, customers remain indifferent. The reason lies in the characteristics of the platform. Consumers have not been trained to leave reviews.
For most products, even if 100 units are sold, it is not necessarily possible to receive a single review. Some sellers even complained that they had sold 2,700 units of a certain product but did not receive a single review. The actual review rate is basically the same for most sellers, but considering that some sellers will post fake reviews, we can lower the ratio a bit. Assuming there is one review for every 80 orders, when researching a product, we only need to count the number of reviews for the listing to preliminarily evaluate the sales volume of the listing.
However, since the statistics and display of reviews start from the time the listing is put on the shelves, the data from three years ago is not very relevant for current operations. What should we do? When we count the review data, we might as well use the most recent three months or six months as the time node and only count the data within this period. With such statistics, the data becomes a reflection of the current sales situation and is closer to reality.
3. According to the number of store feedback
If many sellers are brushing reviews due to operational needs, then only a few sellers are brushing feedback. Because the quality and amount of Feedback have little help to the operation, and it can even be said that it has no impact on the progress of the operation, therefore, almost no sellers will brush Feedback, which means that the number of Feedback is closer to the real data.
According to experience, on the US site, if a store's sales are basically stable, then 4-5 times the number of feedbacks in the store in 30 days is equivalent to the number of orders in one day. For example, in the figure below, the number of feedbacks in the store in 30 days is 126, multiplied by 5, the number of orders in the store per day is about 600.
After knowing the total number of orders for the store, you can go into the store to check. Because the products in the store are sorted by sales by default, check the position of the listing you are evaluating in the store, and then combine it with the evaluation based on the number of reviews to roughly estimate the sales of the listing.
4. Using third-party tools
There are many third-party tools that can calculate the sales volume of a listing basically accurately through the principle of crawlers. Sellers in need can click here to find tools suitable for their use.
Since the tool can realize sales statistics, why do we still need to master the previous three methods? There is a saying that "knowledge gained from books is shallow, and one must practice to truly understand it." The same is true for Amazon's operations. If you rely on tools to obtain all data, basically, your operations will be ruined.
