Product image analysis
This time, we analyze the skirt category exposed by Amazon, that is, turn the page to capture the exposed data on Amazon’s skirt page. By analyzing the
Pareto chart of the exposed price, you can choose a price that is easier to enjoy for new products.
Generally speaking, the cumulative average can help you understand the overall trend. It can be seen that it increases first and then decreases slowly.
First, it is observed that there are many products with 0-0.2 cape ratings, which is normal. Many products have no ratings, and the default is 0. But 4.8-5.0 is very abnormal. Generally speaking, if the score is normally distributed, the highest point is generally around 4.2, and then slowly drops, but it soars when it reaches 4.8
. Generally speaking, the 28% distribution will only appear in the highly competitive category. If the competition is not fierce, users will purchase through interest-oriented purchases, and consumers will patiently choose suitable products, so there will be no 28% distribution.
It can be seen that the average cumulative score shows a downward trend after 1,000 products. There is a small episode in the first 200 products. Let’s take a look at the details
Let’s take a look at the top 500 products, and find that the product ratings suddenly soared at the beginning, and then gradually decreased. As long as the reason is that some of the top-ranked products rushed up through the behavior of swiping orders, it is normal for them to decline afterwards. After all, most merchants sell normally. What happened to the slow rise after that? From the graph of historical sales, it can be seen that the historical sales volume of products ranked after 150 is not large, and the problem of controlling ratings is relatively simple. This can improve your ratings through some small means, such as giving cash for five-star reviews. When the number of sales gradually increases, many buyers will not score, which will slowly lower the average score
It can be seen from the ranking histogram that most of the products are ranked above 2 million, and a few products are in the forefront
