长春地区公司平台客户价值评估数据

采集公司管理平台中长春地区的数据，通过客户最后消费时间距离当前分析时间的天数（R）、最近一段时间消费频次(F)、最近一段时间消费金额(M)， 采用 RFM 模型对客户进行价值评级，实现精准化运营，通过对长春地区客户价值管理，满足不同价值客户的个性化需求。并为同行业企业不同价值类型的客户个性化服务提供数据支持。数据加工：运用RFM模型结合客户最后消费时间距离当前分析时间的天数（R）、客户最近一段时间消费频次(F)和客户最近一段时间消费金额(M)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.提取出最后消费时间距离当前分析时间的天数（R）、客户最近一段时间消费频次(F)和客户最近一段时间消费金额(M)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.根据客户最近一段时间消费频次(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, 根据客户最近一段时间消费金额(M)，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。

Data was collected from the Changchun region within the company's management platform. Customer value grading is conducted using the RFM model based on three metrics: Recency (R, the number of days between a customer's last consumption date and the current analysis time), Frequency (F, the consumption frequency over a recent period), and Monetary value (M, the total consumption amount over a recent period), to enable precise operational management and meet the personalized needs of customers with different value levels. This work also provides data support for personalized service provision for customers of various value types among enterprises in the same industry.

For data processing: A comprehensive customer ranking is generated by combining the RFM model with the score rankings of the three aforementioned metrics, and a final overall RFM score is calculated.
a. Extract the values of R, F and M for classification. Customers with the shortest interval since their last consumption are ranked first. A 1-5 scoring scale is adopted: the top 20% of customers receive 5 points, the next 20% get 4 points, the subsequent 20% get 3 points, the following 20% get 2 points, and the last 20% get 1 point.
b. Classify customers in descending order based on their recent consumption frequency (F). The top 20% of customers are assigned a score of 5 for their consumption frequency, and the remaining groups follow the same percentile-based scoring rule.
c. Based on the recent total consumption amount (M), the top 20% of customers receive a score of 5, while the bottom 20% with the lowest consumption amount get a score of 1, following the same scoring standard.
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 grades: Grade A for scores ≥ 4, Grade B for 3 ≤ score < 4, Grade C for 2 ≤ score < 3, and Grade D for scores < 2.

搜集汇总

数据集介绍

特点

长春地区公司平台客户价值评估数据集包含539条记录，采用RFM模型对客户进行价值评级，数据格式为xlsx，更新频次为按需更新。该数据集适用于信息传输、软件和信息技术服务业，旨在通过精准化运营满足不同价值客户的个性化需求，并为同行业企业提供数据支持。