When they first entered the platform, Amazon novice sellers didn’t know how to choose products, so they wanted to choose a hot-selling product on the Amazon platform. So, after Amazon sellers have selected products, how do they estimate product sales? This article will introduce.
1. According to the number of product reviews.
Sellers who have experience in Amazon operations know that it is really difficult to get customers to leave reviews. After all the hard work, customers are indifferent. The reason lies in the characteristics of the platform. Consumers have not been trained to leave reviews.
For most products, it may not be possible to receive a review even if 100 units are actually sold. Some sellers even complain that they have sold 2,700 units of a certain product but have not received a single review. The real review rate is basically the same for most sellers, but considering that some sellers will brush some reviews, the ratio can be reduced a little. Assuming that there is one review for 80 orders, when researching a product, you only need to count the number of reviews for the product to preliminarily evaluate the sales of the product.
However, since the statistics and display of comments start from the time when the product is put on the shelves, the data from three years ago is not very referenceable for the current operation. What should we do? When counting the comment data, we might as well use the last three months or six months as the time node and only count the data within this period. In this way, the data becomes a reflection of the current sales situation and is closer to the truth.
2. Shopping cart.
Using this method will be more accurate, but it will take a long time to consider the time. Add the product you are referring to 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, the platform will prompt how many are available for sale, so that you know the current inventory quantity of the product.
The next day, you can test it again in this way for one or two weeks in a row, and you can probably know the average daily sales of the product. Then, according to your own operation goals, think about whether such sales meet your expectations. If they do, you can initially determine it as the object of product selection.
Of course, this method also has disadvantages. Once the object of concern sets the maximum order quantity, this test method will fail.
3. Third-party tools.
There are many third-party tool plug-ins that use the principle of crawlers to basically and accurately calculate the sales volume of a product.
For example, the plug-in of amzsount can easily know the sales volume of the product in the last 30 days when opening any ASIN page.
4. According to the number of store feedback.
If there are many sellers who need to brush comments for operation, then only a few sellers will brush feedback. Because the quality and amount of feedback are of little help to the operation, and it can even be said that it does not affect the progress of the operation at all, so 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 the sales volume of a store is basically stable, then 4-5 times the number of feedback in its store in 30 days is equivalent to the number of orders in the store in one day.
After knowing the total number of orders in the store, go to the store to check, because the products in the store are sorted by sales by default. Check the position of the product you are evaluating in the store, and then combine it with the evaluation based on the number of reviews to roughly evaluate the sales of the product.
Therefore, it is important to be able to summarize and analyze the data of the platform with your own ideas, so as to improve your operational judgment ability