汕头市地区购买媒体投流客户价值评估数据

采集erp系统中汕头市地区的数据，通过客户最近一次消费时间的天数R、消费频次F和消费金额M（元）， 采用 RFM 模型对客户进行价值评级，实现精准化运营。通过对汕头市地区客户价值管理，满足不同价值客户的个性化需求。对A级客户，每个月进行一次回访维护；对B级客户，每个季度进行一次回访维护；对C级客户，每半年进行一次回访维护；对D级客户，每年进行一次回访维护。另外可以为本地区客户群体高度重叠企业提供不同价值类型的客户个性化服务的数据支持。1、数据处理：对从erp系统中采集到的数据进行脱敏、降噪、清洗、聚集、分析。2、数据加工：运用RFM模型结合客户最近一次消费时间的天数R、消费频次F和消费金额M（元）的得分排名对客户进行一个综合排名，最终得出一个RFM综合分。3、规则评分：a.提取出距离最近一次消费时间的天数R、消费频次F和消费金额M进行分类，距离最近一次消费时间的天数R间隔最短的客户排在最上面。按照从1-5评分，前20%的客户获得5分，接下来的20%用户获得4分,再下来20%的客户为3分，再下来20%的客户为2分，最后20%的客户为1分。b.根据客户消费频次F从高到底依次对用户进行分类，前20%的客户在用户活动频率的分数为5，以此类推。C,根据客户消费金额M（元），前20%的客户在消费金额的分数为5，以此类推。消费金额最少的20%客户则分数为1。4、综合评分计算：RFM综合分=0.3*（R评分）+0.3*（F评分）+0.4*（M评分），评分大于等于4分的客户等级为A，大于等于3小于4的客户等级为B，大于等于2小于3的客户等级为C，低于2的客户等级为D。

This dataset collects data from the Shantou region within Enterprise Resource Planning (ERP) systems. It leverages the RFM model to perform value grading on customers based on three metrics: R (days since the customer's last consumption), F (consumption frequency), and M (consumption amount in yuan), so as to achieve precise customer operation. Through customer value management in the Shantou region, it caters to the personalized demands of customers with different value tiers. For Class A customers, a return visit and maintenance is conducted once per month; for Class B customers, once every quarter; for Class C customers, once every six months; and for Class D customers, once per year. Additionally, it can provide data support for local enterprises with highly overlapping customer bases to deliver personalized services for customers of various value types.

1. Data Preprocessing: Desensitize, denoise, clean, aggregate and analyze the data collected from the ERP system.
2. Data Processing for Grading: Apply the RFM model combined with the score rankings of the three metrics R, F and M to conduct a comprehensive ranking of customers, and finally derive an overall RFM score.
3. Rule-based Scoring:
a. Extract the metrics R (days since last consumption), F (consumption frequency) and M (consumption amount in yuan) for classification. Customers with the shortest interval since last consumption are ranked first. Assign scores from 1 to 5 as follows: the top 20% of customers receive 5 points, the next 20% receive 4 points, the subsequent 20% receive 3 points, the following 20% receive 2 points, and the last 20% receive 1 point.
b. Classify customers based on their consumption frequency F in descending order: the top 20% of customers get 5 points for their activity frequency score, and so on for the remaining groups.
c. For customer consumption amount M (in yuan), the top 20% of customers receive 5 points, and the 20% of customers with the lowest consumption amount receive 1 point.
4. Comprehensive Score Calculation: The overall RFM score = 0.3*(R score) + 0.3*(F score) + 0.4*(M score). Customer tiers are defined as: Class A for scores ≥4, Class B for 3 ≤ score <4, Class C for 2 ≤ score <3, and Class D for scores <2.

搜集汇总

背景与挑战

背景概述

该数据集包含801条汕头市媒体投流客户的价值评估数据，采用RFM模型基于消费时间、频次和金额对客户进行分级（A/B/C/D级），用于实现精准化运营和个性化服务支持。数据每半年更新一次，来源于企业ERP系统并经过脱敏处理，适用于客户价值管理和跨企业数据共享场景。