In the background of this article, the role of Python for product managers is to analyze products, which is convenient for making more scientific product decisions; then it explains in detail the methods and steps of Python to analyze RFM, and finally analyzes and bulk sms service establishes an RFM model. The resulting output is based on a Python visual analysis view of product optimization. There are a thousand Hamlets in the eyes of a thousand viewers, and a thousand opinions on Python in the eyes of a thousand product managers! Life is too short, I use Python for product decision analysis. I can't bear to let the threshold of data analysis tools take up too much time for product managers, and to save you the time to find data analysis tools, the author strives to use an article to analyze Python for bulk sms service data product analysis RFM model! In addition, it is not recommended that product managers write code, but data product managers and AI product managers must be able to understand Python code.
After all, Tencent and other major companies have publicly required product managers to understand Python in the JD recruiting product managers. The recruitment information is as follows: 1. What is the RFM model? The simplest understanding of RFM is as bulk sms service follows: The role of the RFM model: The results of RFM model analysis can help product-driven operations to formulate suitable promotion and operation plans and select suitable products or services to provide more accurate target user layers. Prerequisites for RFM Analysis: Customers who have traded recently are more likely to have another trade than those who have not traded recently. Customers who trade frequently bulk sms service are more likely to trade again than those who trade less frequently. Customers with a larger total transaction amount in the past are more motivated to spend than customers with a smaller transaction amount in the past.
How to analyze RFM models? There are many analysis methods for RFM models. The author recommends two tools, one is Python, and the other is EXCEL (this article is the first article, so I will talk about Python analysis of RFM first, and the next article will bulk sms service talk about EXCEL analysis of RFM model). A small amount of user data is used in EXCEL, and the specific amount is generally less than 50,000. A large amount of data (more than 50,000 user data) or big data is recommended to use the Python system as the RFM model. Of course, Python can also be used for small amounts bulk sms service of data. You can even make a Python model, no matter how much data is sent to the model, it can output useful decision-making information for product managers. 2. How many steps are there to