Horizontal comparison: simply put, who is it compared with? Should we be happy if the turnover of our store increased by 30% last month?
I have to mention the turnover of competitors here. In the data age, it is easy for us to obtain the relevant data of our competitors.
Vertical comparison: We can display the trading volume in recent 15 days in the form of lines, so that we can clearly see whether the recent trading volume has reached the expectation and whether there is a downward trend. Of course, we can also use quarters, months or weeks as units.
2. Transformation analysis
This involves a problem, judging some daily statistical indicators that an e-commerce enterprise needs to use:
Target users of the store: the turnover of the store reflects the impact of the store on the market and the satisfaction of users with the products.
Average consumption amount: how much each user spends each year in the store, so as to locate the target population and determine whether the profit target is achieved.
User repurchase rate: judge the satisfaction of products. If users buy it once, they will buy it for the second time, indicating that users are still very satisfied with your products, which not only saves marketing expenses, but also recommends users to more friends, which is enough to buy.
3. Residue analysis
We drain users to our traffic pool through activities and other forms, but after a period of time, users may slowly lose. Those users who stay or visit our store frequently are called retention.
We often use daily active users, monthly active users and quarterly active users to detect the traffic of our store. Sometimes we may see that our daily work is gradually increasing for a period of time, which is a good phenomenon, but if we don't do retention analysis, the result is likely to be wrong.
Retention is the core of the product. Only when users stay can our products continue to grow. If we do nothing, users will soon be lost.
4. Product price comparison
Most e-commerce companies will frequently promote sales. Generally speaking, the flag they play every time is nothing more than the lowest in the whole network, but how can we be sure that it is the lowest in the whole network?
At this time, it is necessary to build a price comparison system. The purpose of this price comparison system is mainly to capture the commodity prices of major e-commerce platforms. Develop your own strategy through the prices and discounts of major e-commerce platforms.
What are the common methods of data analysis in e-commerce? Ivy Bian Xiao will share with you here. If you are interested in big data engineering, I hope this article can help you. If you want to know more about the skills and information of data analysts and big data engineers, you can click on other articles on this site to learn.