苏州市日化用品类客户分级评价数据

采集苏州市日化用品类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，用RFM分析方法把客户分为ABCD四级，对细分过后的不同客户采取相应营销策略，进行精准有效的运营。通过对客户进行分级管理，满足不同等级客户的个性化需求，并为同行业企业管理不同等级的客户，实现精准个性化服务提供数据支持。 1、数据处理：对从苏州市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。

This dataset collects three core indicators, namely Recency (R: time elapsed since the customer's last purchase), Frequency (F: total number of purchases within a specified period), and Monetary value (M: total consumption amount within a specified period), for customers in the daily chemical products industry based in Suzhou. The RFM model is employed to conduct customer value grading, and customers are divided into four tiers (A, B, C, D) via RFM analysis. Targeted marketing strategies are formulated for each tier to enable precise and efficient operational management. Through tiered customer management, personalized demands of customers at different tiers are satisfied, providing data support for peer enterprises to manage multi-tier customers and deliver precise personalized services.

1. Data Processing: The data collected from Suzhou customers are subjected to anonymization, denoising, cleaning, aggregation and analysis.
2. Data Scoring and Processing: The RFM model is applied to generate a comprehensive customer ranking and final overall RFM score based on the score rankings of each customer's Recency (R), Frequency (F) and Monetary value (M) indicators.
a. Extract the R, F and M indicators for scoring. First, sort customers by their time since last purchase in ascending order (i.e., customers with shorter intervals rank higher). Each customer is assigned a score from 1 to 5: the top 20% of customers get a score of 5, the next 20% get 4, the subsequent 20% get 3, the following 20% get 2, and the last 20% get 1.
b. Sort customers by their purchase frequency (F) in descending order, and assign scores following the same 1-5 quantile rule as above: the top 20% receive a score of 5, and so on.
c. Sort customers by their total consumption amount (M) in descending order, and assign scores using the same quantile rule. The bottom 20% of customers with the lowest consumption amount receive a score of 1.
The overall RFM score is calculated as: RFM Score = 0.3 * R Score + 0.3 * F Score + 0.4 * M Score.
Customers are tiered as follows: Tier A: RFM Score ≥ 4; Tier B: 3 ≤ RFM Score < 4; Tier C: 2 ≤ RFM Score < 3; Tier D: RFM Score < 2.