南宁地区公司平台客户价值评估数据

采集销售记录表中南宁地区的数据，通过客户在2018年4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2018年4月1日至2025年7月1日之间消费频次F和客户在2018年4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，通过对南宁地区客户价值管理，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2018年4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2018年4月1日至2025年7月1日之间消费频次F和客户在2018年4月1日至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2018年4月1日至2025年7月1日之间消费频次F和客户在2018年4月1日至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2018年4月1日至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2018年4月1日至2025年7月1日消费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。

This dataset collects sales record data for the Nanning region. Three metrics are used for customer value rating via the RFM model to enable precise operations and meet personalized needs of customers with different value tiers through customer value management in the Nanning area: R is the number of days between the customer's most recent purchase date within the period from April 1, 2018 to July 1, 2025 and July 1, 2025; F is the customer's total purchase frequency during this period; M is the customer's total consumption amount during this period. For Class A customers, monthly return visits and maintenance are conducted; for Class B customers, quarterly return visits are carried out; for Class C customers, semi-annual return visits are provided; and for Class D customers, annual return visits are performed. Additionally, this dataset can provide data support for enterprises with highly overlapping customer groups in this region to deliver personalized services for different value-type customers.

The collected sales record data will undergo data desensitization, denoising, cleaning, aggregation and analysis.

2. Data Processing: Conduct a comprehensive customer ranking based on the score rankings of the three RFM metrics to derive the final overall RFM score.
a. For metric R (days since most recent purchase): Sort customers in ascending order of the interval days between their most recent purchase date and July 1, 2025. Assign scores from 1 to 5 following the 20% tier rule: the top 20% of customers get 5 points, the next 20% get 4 points, the following 20% get 3 points, the subsequent 20% get 2 points, and the last 20% get 1 point.
b. For metric F (purchase frequency): Sort customers in descending order of their total purchase frequency during the period from April 1, 2018 to July 1, 2025. Assign scores from 1 to 5 using the same 20% tier rule, with the top 20% receiving 5 points.
c. For metric M (total consumption amount): Sort customers in descending order of their total consumption amount during the period from April 1, 2018 to July 1, 2025. Assign scores from 1 to 5 using the same 20% tier rule, with the top 20% getting 5 points and the bottom 20% getting 1 point.

The overall RFM score is calculated as: RFM Score = 0.3 * (R Score) + 0.3 * (F Score) + 0.4 * (M Score)

Customers are categorized into four tiers based on their overall RFM score:
- Class A: Score ≥ 4
- Class B: 3 ≤ Score < 4
- Class C: 2 ≤ Score < 3
- Class D: Score < 2

搜集汇总

背景与挑战

背景概述

该数据集包含582条南宁地区公司平台的客户数据，采用RFM模型评估客户价值，基于最近消费天数、频次和金额的得分计算总评分并划分等级。它用于实现精准化运营，如对不同等级客户进行定期回访，并为本地企业提供个性化服务支持。