In many cases, we need to directly predict product sales to make the next decision. So how do we generally make a prediction of product sales?
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.
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.
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.
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.
This is the end of this issue on Amazon product sales forecast. If you want to get more knowledge about Amazon product forecast, please pay attention and we will continue to answer your questions~
