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How to analyze e-commerce data?
The basic index system of e-commerce data analysis is constructed, which is mainly divided into 8 categories.

1. Overall operating indicators: control the flow, 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 gain.

2. Website traffic indicators: 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 rate index: analyze the data from the whole process of 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: This is mainly to analyze the value of customers, and we can establish an RFM value model to find out those valuable customers, precise marketing and so on.

5. Commodity indicators: mainly analyze the types of commodities, which sell well and the inventory situation, and establish a correlation model to analyze that the probability of selling those commodities at the same time is relatively high. Bundling sales is a bit like the story of drinking diapers with beer.

6. Marketing activity indicators, mainly monitoring the effect of an activity on the e-commerce website and monitoring the advertising indicators.

7. Risk control indicators: analyze the seller's comments and complaints, find problems and correct them.

8. Market competition indicators: mainly analyze market share and website ranking, and make further adjustments.