佛山地区智能家居咨询客户分级评价数据

采集销售记录表中佛山地区的数据，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，通过对佛山地区客户价值管理，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。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。

Data was collected from the sales record table for the Foshan region. Customer value rating was performed using the RFM model based on three metrics: Recency (R, time since the customer's most recent purchase), Frequency (F, number of purchases within a specified period), and Monetary value (M, total purchase amount within a specified period), to enable precise operational management, meet the personalized needs 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 tiers.

The collected data from the sales record table was subjected to desensitization, denoising, cleaning, aggregation and analysis.

2. Data Processing: A comprehensive customer ranking was conducted by combining the RFM model with the score rankings of the customer's Recency (R), Frequency (F) and Monetary value (M), and a final overall RFM score was calculated.
a. Extract the metrics of Recency (R), Frequency (F) and Monetary value (M) for classification. Customers with the shortest time interval since their last purchase are ranked first. Scores are assigned from 1 to 5: the top 20% of customers receive a score of 5, the next 20% receive 4, the subsequent 20% receive 3, the following 20% receive 2, and the last 20% receive 1.
b. Classify customers based on their purchase frequency (F) in descending order. The top 20% of customers receive a score of 5 for their activity frequency, and so on.
c. Based on the total purchase amount (M) of customers, the top 20% of customers receive a score of 5 for their consumption amount, and so on. The 20% of customers with the lowest consumption amount receive a score of 1.

The RFM total score is calculated as: RFM Score = 0.3 * (R Score) + 0.3 * (F Score) + 0.4 * (M Score)
Customers are segmented into four tiers: Tier A customers with a score ≥ 4, Tier B customers with 3 ≤ score < 4, Tier C customers with 2 ≤ score < 3, and Tier D customers with a score < 2.