重庆地区课程咨询客户分级评价数据

应用场景：采集咨询记录表中重庆地区的数据，通过客户的最近一次消费时间（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，通过对重庆地区客户价值管理，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。1、数据处理：对从咨询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模型结合客户最近一次消费时间（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.提取出客户最近一次消费时间（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。

Application Scenario: Collect data from the consulting record forms in the Chongqing region. Use the RFM model to conduct customer value rating based on the customer's recency of last consumption (R), consumption frequency over a recent period (F) and consumption monetary value over a recent period (M), so as to realize precise operational management. Through customer value management in the Chongqing region, meet the personalized demands of customers with different value tiers, and provide data support for enterprises in the same industry to deliver personalized services for customers of different value types.

1. Data Processing: Desensitize, denoise, clean, aggregate and analyze the data collected from the consulting record forms.

2. RFM Scoring & Processing: Apply the RFM model to conduct a comprehensive ranking of customers based on the score rankings of the three core indicators (recency of last consumption R, consumption frequency over a recent period F and consumption monetary value over a recent period M), and finally calculate the overall RFM score.
a. Extract the three indicators for classification. Rank customers starting with those having the shortest interval since their last consumption. Assign scores 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 final 20% get 1 point.
b. Sort customers in descending order of their consumption frequency over a recent period (F). The top 20% of customers get 5 points for their frequency score, and the remaining groups follow the same scoring rule.
c. Based on the consumption monetary value over a recent period (M), the top 20% of customers get 5 points for their monetary score, following the same rule. The bottom 20% of customers with the lowest consumption amount receive 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 classified into four value tiers:
- Class A customers: Score ≥ 4
- Class B customers: 3 ≤ Score < 4
- Class C customers: 2 ≤ Score < 3
- Class D customers: Score < 2

搜集汇总

数据集介绍

特点

重庆地区课程咨询客户分级评价数据包含631条记录，采用RFM模型对客户进行价值评级，主要依据客户的最近一次消费时间、消费频次和消费金额进行评分，最终将客户分为A、B、C、D四个等级，适用于精准化运营和客户价值管理。