无锡市地区购买媒体投流客户价值评估数据

采集erp系统中无锡市地区的数据，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。通过对无锡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 customer data of Wuxi region from ERP systems. We employ the RFM model to perform customer value rating based on three metrics: R (number of days since the customer's last purchase), F (purchase frequency), and M (purchase amount in yuan), so as to achieve precise operational management. By managing customer value in the Wuxi region, we can meet the personalized demands of customers at different value levels. Specifically, we conduct return visits and maintenance for Grade A customers once monthly, Grade B customers once quarterly, Grade C customers once semi-annually, and Grade D customers once annually. Additionally, this work can provide data support for enterprises with highly overlapping local customer groups to deliver personalized services tailored to different customer value types.
1. Data Processing: Perform desensitization, denoising, cleaning, aggregation and analysis on the data collected from the ERP system.
2. Data Refinement: Use the RFM model to conduct a comprehensive ranking of customers based on the score rankings of R, F and M, and finally derive an overall RFM score.
3. Rule-based Scoring:
a. Extract the three metrics R (days since last purchase), F (purchase frequency) and M (purchase amount in yuan) for classification. For metric R, customers with the shortest interval since last purchase are ranked highest. Score customers from 1 to 5: the top 20% of customers receive 5 points, the next 20% get 4 points, the subsequent 20% get 3 points, the next 20% get 2 points, and the last 20% get 1 point.
b. Classify customers in descending order of their purchase frequency F: the top 20% of customers receive 5 points for their purchase frequency score, and so on.
c. Classify customers based on their purchase amount M (in yuan): the top 20% of customers receive 5 points for their purchase amount score, and so on. The 20% of customers with the lowest purchase amount will be given 1 point.
4. Comprehensive Score Calculation: The overall RFM score = 0.3*(R score) + 0.3*(F score) + 0.4*(M score). Customer levels are determined as follows: Grade A for scores ≥4, Grade B for scores ≥3 and <4, Grade C for scores ≥2 and <3, and Grade D for scores <2.

搜集汇总

背景与挑战

背景概述

该数据集包含801条无锡市地区客户记录，采用RFM模型评估客户价值，基于消费时间、频次和金额计算评分和等级，用于精准运营和个性化服务维护。数据每半年更新一次，支持企业优化客户管理策略。