菏泽地区企业管理咨询客户分级评价数据

采集销售记录表中菏泽地区的数据，通过客户在2019年7月1日距离2025年7月1日间隔的最近一次消费时间天数R、客户在2019年7月1日至2025年7月1日之间消费频次F和客户在2019年7月1日至2025年7月1日之间消费M元， 采用 RFM 模型对客户进行价值评级，实现精准化运营，通过对菏泽地区客户价值管理，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。对从销售记录表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模型结合客户在2019年7月1日距离2025年7月1日间隔的最近一次消费时间天数R、客户在2019年7月1日距离2025年7月1日之间消费频次F和客户在2019年7月1日距离2025年7月1日之间消费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总评分。a.提取出最近一次消费时间距离当前分析时间的天数R、客户在2019年7月1日距离2025年7月1日之间消费频次F和客户在2019年7月1日距离2025年7月1日之间消费M元进行分类，最近一次消费时间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.根据客户在2019年7月1日距离2025年7月1日消费频次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, 根据客户在2019年7月1日距离2025年7月1日消费金额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。 RFM得分=0.3*（R得分）+0.3*（F得分）+0.4*（M得分） 评分大于等于4分的为A级客户，大于等于3小于4的为B级客户，大于等于2小于3的为C 级客户，低于2的为D级客户。

Collect sales data of the Heze region from the sales record table. Conduct customer value rating using the RFM model for precise operation, based on three indicators: R (number of days since the customer's most recent consumption between July 1, 2019 and July 1, 2025), F (consumption frequency during this period), and M (total consumption amount during this period). Through customer value management in the Heze region, meet the personalized needs of customers of different value tiers. For Grade A customers, conduct monthly revisit and maintenance; for Grade B customers, conduct quarterly revisit and maintenance; for Grade C customers, conduct semi-annual revisit and maintenance; and for Grade D customers, conduct annual revisit and maintenance. Additionally, this dataset can provide data support for enterprises with highly overlapping customer groups in this region to deliver personalized services for customers of different value types.

First, perform desensitization, denoising, cleaning, aggregation and analysis on the data collected from the sales record table.
2. Data processing: Use the RFM model combined with the score rankings of R, F and M indicators to conduct a comprehensive ranking of customers, and finally obtain an overall RFM score.
a. Extract the three indicators R (days since the most recent consumption relative to the current analysis time, i.e., July 1, 2025), F (consumption frequency between July 1, 2019 and July 1, 2025) and M (total consumption amount during this period) for classification. Customers with the shortest interval since their most recent consumption are ranked first. Score customers from 1 to 5: the top 20% of customers receive 5 points, the next 20% receive 4 points, the following 20% receive 3 points, the subsequent 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 tiers.
c. Classify customers based on their total consumption amount M in descending order. The top 20% of customers receive 5 points for their consumption amount score, and the 20% of customers with the lowest consumption amount receive 1 point.

The RFM score is calculated as: RFM Score = 0.3 * (R Score) + 0.3 * (F Score) + 0.4 * (M Score).
Customer grading criteria: Grade A customers have a score ≥4, Grade B customers have a score ≥3 and <4, Grade C customers have a score ≥2 and <3, and Grade D customers have a score <2.

搜集汇总

背景与挑战

背景概述

该数据集包含573条菏泽地区企业管理咨询客户的RFM分级评价数据，采用xlsx格式，基于客户最近消费时间、消费频次和消费金额进行评分，将客户分为A、B、C、D四个等级。其核心特点是应用RFM模型实现客户价值评级，支持精准化运营和个性化服务，例如对不同等级客户设置差异化的回访频率，并可为本地企业提供数据支持。