What data should the e-commerce platform analyze?

Control traffic, orders, overall sales performance and overall indicators, at least have a general understanding of the operating e-commerce platform, and how the operation is, whether it is a loss or a profit.

2. Website traffic indicators

That is, analyze the visitors who visit your website. Based on these data, you can improve the web page and analyze the behavior of visitors.

3. Sales conversion indicators

Analyze the whole process data from ordering to payment to help you improve the conversion rate of goods. You can also analyze some data that often appear abnormal.

4. Customer value indicators

Here is mainly to analyze the value of customers, establish RFM value model, find out those valuable customers, and carry out precise marketing.

5. Commodity indicators

This paper mainly analyzes the types of goods, which sell well and the inventory situation, and can establish a correlation model to analyze the probability that those goods are sold at the same time. Bundling sales is a bit like the story of beer drinking diapers.

6. Marketing activity indicators

It mainly monitors the effect of an activity on the e-commerce website and the indicators of advertising.

7. Risk control indicators

Analyze the seller's opinions and complaints, find problems and correct them.

8. Market competition indicators

Mainly analyze the market share and website ranking, and make further adjustments.

What data should be analyzed by e-commerce platform? Bian Xiao is here to share with you. 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.

What data should the e-commerce platform analyze? For more information, you can pay attention to Global Ivy and share more dry goods.