镇江市地区购买媒体投流客户价值评估数据

采集erp系统中镇江市地区的数据，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。通过对镇江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 regional data of Zhenjiang City from the Enterprise Resource Planning (ERP) system. It applies the RFM model, which incorporates three core metrics: Recency (R, days since a customer's most recent consumption), Frequency (F, total number of consumption occurrences), and Monetary Value (M, total consumption amount in yuan) to conduct customer value rating, enabling precise operational management. By implementing customer value management for the Zhenjiang regional market, the dataset supports meeting the personalized demands of customers across different value tiers. Specifically, monthly return visits and maintenance are provided for Class A customers, quarterly for Class B, semi-annual for Class C, and annual for Class D. Additionally, it offers data support for local enterprises with highly overlapping customer bases to deliver personalized services targeting different customer value types.

1. Data Processing: Collected data from the ERP system undergoes desensitization, denoising, cleaning, aggregation and analysis.
2. Data Processing & Scoring: Customers are comprehensively ranked based on the score rankings of the three RFM metrics (R, F, M) combined with the RFM model, and a final comprehensive RFM score is calculated for each customer.
3. Rule-based Scoring:
a. Extract the three metrics R, F and M for classification. For the Recency R metric, customers with the shortest interval since their last consumption are ranked first. Scores are assigned on a 1-5 scale: the top 20% of customers get 5 points, the next 20% get 4 points, the subsequent 20% get 3 points, the next 20% get 2 points, and the bottom 20% get 1 point.
b. For the Consumption Frequency F metric, customers are classified in descending order of their consumption frequency. The top 20% receive a frequency score of 5, and the rest follow the same scoring rule.
c. For the Consumption Monetary M metric, customers are classified based on their total consumption amount. The top 20% receive a monetary score of 5, while the bottom 20% with the lowest consumption amount receive 1 point.
4. Comprehensive Score Calculation: The RFM comprehensive score is calculated as: RFM Comprehensive Score = 0.3*(R score) + 0.3*(F score) + 0.4*(M score). Customer tiers are defined as follows: 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条记录，采用RFM模型评估镇江市地区购买媒体投流客户的价值，通过消费时间、频次和金额等字段进行综合评分和等级划分。数据集每半年更新一次，旨在支持企业精准化运营和个性化客户服务，适用于客户价值管理场景。