This column will start with user behavior analysis, user value analysis, user portraits, product portraits, sales forecasts, user recommendations, and user purchasing power predictions, and guide you through e-commerce data analysis.
What is the process of data analysis?
- clear goal
- retrieve data
- Data Exploration and Preprocessing
- analyze data
- get conclusion
- Verification conclusion
- The results show
What is user behavior?
User behavior is the behavior of the user on the product. For example, when we visit certain treasures, such as Dongdong, such as Duoduo, click on any product in it, collect products, purchase products, etc., all behaviors will be recorded by the operation staff (of course, only valuable ones are recorded)
The value of user behavior analysis
By analyzing user behavior, we can understand users and ourselves. For example, if I can know which days of the week the user volume is high, and which time period of the day the user volume is high, I can do something valuable during those time periods, such as advertising. You can also analyze which products are not viewed, and the click-through rate is low and the conversion rate is low. What is the problem?
clear purpose
The first step of data analysis is to clarify the purpose.
Assume a scenario. Seeing that Double 11 is coming, Three Squirrels, as a high-end snack retail store, is about to go to the Double 11 promotion. In view of this situation, the operator needs to analyze the user data, find out the problem and propose an optimization plan, so as to increase sales as much as possible.