How does Amazon determine sales through reviews?

There are many cross-border e-commerce platforms in China, and the best developed one is Amazon. There are many merchants opening stores here, so the competition is very fierce. In this case, how can Amazon merchants judge the sales volume of the store through reviews?

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, so that you know the current inventory quantity of the listing. Repeat the above steps the next day for a week or two, and average the recorded data to roughly know the average daily sales of the listing. Then, based on your own operational goals, think about whether such sales meet your expectations. If so, you can initially determine that it is a product to be selected.

Of course, this method has its drawbacks. Once the object you are concerned about has a maximum order quantity (Max Order Quantity), this test method will be outdated. 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. You go to great lengths but customers remain indifferent. The reason is that due to the nature of the platform, consumers have not been trained to leave reviews.

For most products, even if 100 units are sold, it is not possible to receive a single review. Some sellers even complained that they had sold 2,700 units of a 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 rate a bit, assuming that 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 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 doing fake reviews for operational needs, then only a few sellers will do fake feedback. Because the quality and quantity of feedback are of little help to operations, and it can even be said that it has no impact on the progress of operations, so almost no sellers will do fake 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, 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.

For Amazon merchants, reviews are one of the bases for judging the store's operation. If there are more positive reviews, it means that the store's sales will get better and better. After all, for consumers, they will pay special attention to positive reviews when shopping in a store.

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