Since March 2023, Amazon began to publicly display sales data on the front-end page. Now nearly two years have passed, and the sales data label has basically changed from a beta version to a permanent official version. This data usually appears on search results pages and some product detail pages. For example, on a search results page, product sales may be displayed in some form, while on a detail page, the sales data may be more detailed. Below the star rating of the product, you can see labels like "Purchased 800+ in the past month" or "Purchased 100k+ in the past month" . However, many sellers have found that the sales data displayed on the front end always seems to be lower than the actual sales recorded in the back end. This discrepancy is not accidental. Many sellers are actually not clear about the meaning and accuracy of these data.
Today, let’s uncover the truth about Amazon’s front-end sales statistics and its actual value!
The secret of front-end sales data
Front-end sales data does not simply reflect the actual sales volume, but Amazon uses a specific calculation method to process and adjust the front-end sales. This statistical method is not completely transparent, and some key factors are also inferred based on market research and sellers' practical experience. First , the sales data on the front desk may be calculated based on the average sales over a period of time, rather than real-time sales data. This means that the sales volume displayed on the front desk may be a smoothed approximation rather than the actual sales volume. Second , the sales data label is not visible in all categories , but it is quite common in the search results on Amazon.com. Now many ASINs that have achieved sales volume will display recent sales data on the Amazon search results page (SERP). Third, there may be differences in the calculation of front-end sales data for products of different categories. For some categories of products, due to fierce market competition or large sales fluctuations, their front-end sales data may be further adjusted to reflect more stable sales trends. This adjustment may be to protect the privacy of sellers and prevent competitors from easily obtaining market information through sales data. So what is the basis or significance of this front-end sales statistics?
Statistical rules for front-end sales data
1. Approximate value display:
Sales volume is not an exact number and is usually displayed in intervals such as "50+", "200+", or "1K+". For example, for three-digit numbers (100+, 200+, etc.), each hundredth digit has a value, meaning that "100+" could represent 100-199, "200+" could represent 200-299, and so on. Here are the different ranges in the "Last Month Purchases" field: - If less than 100, 50-99 - The range of 100-999 is divided into intervals for every hundredth digit (100-199, 200-299, etc.) - The range of 1,000-9,999 is divided into intervals for every thousand digits (1,000-1,999, 2,000-2,999, etc.) - The range of 10,000-99,999 is divided into intervals for every ten thousandth digit (10,000-19,999, 20,000-29,999, etc.) - The range of 100,000+ is one interval per 100,000 digit (100,000-199,999, etc.)
Note that the ranges are not the same size. For example, in the 100-199 range, the upper limit is twice as large as the lower limit, while in the 800-899 range, the range is narrower.
2. Sales volume threshold : If the monthly sales volume of a sub-category does not reach a certain threshold (such as 50 units), or the category does not participate in sales volume display, the sales volume data will not be displayed on the front end. 3. Sub-body statistics: The front-end sales volume is for specific sub-bodies, not the total sales volume of the parent body (i.e. product series). 4. Rolling statistics: Sales data is based on rolling statistics of the past 30 days rather than fixed natural month statistics, so it may contain delayed effects. 5. Order statistics: The front desk displays the number of orders, excluding orders that have been canceled, refunded or under specific promotional conditions. 6. Update delay: Although sales data is updated on an hourly basis, there is still a lag. It reflects the total number of orders in the past 720 hours (i.e., cumulatively within a 30-day rolling period) and is not real-time data. A brief explanation of the above rules
1. Some ASINs that appear to meet the sales threshold do not show this field on the SERP, suggesting that Amazon may have some kind of exclusion list. 2. Since the minimum interval has a lower limit of 50 pieces, it is not very helpful for products with low sales volume. 3. For new product promotion, data can help sellers more accurately determine which products have greater potential to become hits. 4. For products that display a “Purchased Last Month” field, the data is fairly accurate and brands can use this data to estimate sales for many products, potentially even competitor products. 5. Sellers can adjust advertising strategies based on front-end sales data to improve advertising effectiveness; optimize product pricing to improve product market competitiveness; improve product details pages to enhance user experience. In general, the sales data at the front desk is not just a string of numbers, but also an "invisible weapon" for Amazon sellers to formulate operational strategies. Although it is lagging and ambiguous, as long as the right method is used, it can still provide accurate guidance for your operation. |