台州地区课程咨询客户分级评价数据

应用场景：采集咨询记录表中台州地区的数据，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，通过对台州地区客户价值管理，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 Taizhou region from the consultation record form. Using the customer's Recency (R, time since last consumption), Frequency (F, consumption frequency in a recent period) and Monetary value (M, total consumption amount in a recent period), the RFM model is adopted to conduct value rating on customers, so as to realize precise operational management. This customer value management for Taizhou region meets the personalized needs of customers with different value levels, and provides data support for personalized services of customers of different value types for enterprises in the same industry.
1. Data Processing: Desensitize, denoise, clean, aggregate and analyze the data collected from the consultation record form.
2. Data Processing & Calculation: Apply the RFM model combined with the score rankings of the customer's Recency (R), Frequency (F) and Monetary value (M) to conduct a comprehensive ranking of customers, and finally generate an overall RFM score.
a. Extract the Recency (R), Frequency (F) and Monetary value (M) indicators of customers for classification. Rank customers in descending order of time interval since last consumption (i.e., customers with shorter intervals rank higher). Score them on a scale of 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 in descending order of their consumption frequency (F) in a recent period. The top 20% of customers get 5 points for their activity frequency, and the rest are scored accordingly.
c. Classify customers based on their total consumption amount (M) in a recent period. The top 20% of customers get 5 points for their consumption amount, and the rest are scored accordingly. The 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 with an overall RFM score greater than or equal to 4 are classified as Level A customers; those with a score greater than or equal to 3 and less than 4 are Level B customers; those with a score greater than or equal to 2 and less than 3 are Level C customers; and those with a score lower than 2 are Level D customers.