武汉地区课程咨询客户分级评价数据

应用场景：采集咨询记录表中武汉地区的数据，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，通过对武汉地区客户价值管理，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 of the Wuhan region from the consultation record form. Carry out customer value rating via the RFM model based on three indicators: customer's latest consumption time (R), recent consumption frequency (F) and recent consumption amount (M), so as to realize precise operational management. Through customer value management in the Wuhan region, we can meet the personalized demands of customers with different value tiers, and provide data support for personalized services of customers with different value types for enterprises in the same industry.
1. Data Processing: Perform data desensitization, noise reduction, cleaning, aggregation and analysis on the data collected from the consultation record form.
2. Data Scoring & Processing: Conduct comprehensive ranking of customers by combining the score rankings of R, F and M with the RFM model, and finally obtain an overall RFM score.
a. Extract the three indicators of customer's latest consumption time (R), recent consumption frequency (F) and recent consumption amount (M), then sort customers in ascending order based on the interval since their latest consumption (the shorter the interval, the higher the rank). 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 subsequent 20% get 3 points, another 20% get 2 points, and the last 20% get 1 point.
b. Sort customers in descending order based on their recent consumption frequency (F), then assign scores from 1 to 5 following the same 20% tier rule: the top 20% get 5 points, and so on.
c. Sort customers in descending order based on their recent consumption amount (M), then assign scores from 1 to 5 following the same 20% tier rule: the top 20% get 5 points, and the bottom 20% (customers with the least consumption amount) get 1 point.
The overall RFM score is calculated as: RFM Score = 0.3 * (R Score) + 0.3 * (F Score) + 0.4 * (M Score). Customers with an RFM score ≥ 4 are classified as Grade A customers, those with 3 ≤ Score < 4 are Grade B customers, those with 2 ≤ Score < 3 are Grade C customers, and those with a score < 2 are Grade D customers.

搜集汇总

数据集介绍

特点

武汉地区课程咨询客户分级评价数据是一个包含603条记录的企业数据集，采用RFM模型对客户进行价值评级，主要应用于精准化运营和客户价值管理。