宁波市日化用品类客户分级评价数据

采集宁波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：对从宁波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 Recency (R, time elapsed since the customer's most recent purchase), Frequency (F, total number of purchases within a specified recent period), and Monetary value (M, total purchase amount within a specified recent period) for customers in the daily chemical products industry in Ningbo City. The RFM model is employed to perform customer value grading, and customers are divided into four tiers (A, B, C, D) via RFM analysis, enabling the implementation of targeted marketing strategies for precise and efficient customer operation. Through tiered customer management, personalized demands of customers at different tiers are met, and data support is provided for peer enterprises to manage customers of various tiers and deliver precise personalized services.

1. Data Processing: The data collected from Ningbo City are processed through desensitization, noise reduction, cleaning, aggregation and analysis.
2. Data Processing & Enrichment: The RFM model is utilized to generate a comprehensive customer ranking based on the score rankings of the three metrics (R, F, M), and a final overall RFM score is calculated.
a. Metric Classification for Recency (R): Extract the time since last purchase of each customer for classification. Customers are sorted in ascending order of their time since last purchase (i.e., customers with shorter elapsed time rank higher). Customers are scored from 1 to 5, with the top 20% receiving a score of 5, the next 20% receiving 4, the subsequent 20% receiving 3, the next 20% receiving 2, and the last 20% receiving 1.
b. Metric Classification for Frequency (F): Sort customers in descending order of their purchase frequency within the recent period. The top 20% of customers are assigned a score of 5, with the remaining quintiles assigned scores 4, 3, 2, 1 in sequence.
c. Metric Classification for Monetary value (M): Sort customers in descending order of their total purchase amount within the recent period. The top 20% of customers are assigned a score of 5, while the bottom 20% (those with the smallest total purchase amount) receive a score of 1, with the remaining quintiles assigned scores 4, 3, 2 in order.

The overall RFM score is calculated using the formula:
RFM Score = 0.3 * (R Score) + 0.3 * (F Score) + 0.4 * (M Score)

Customer tiering criteria are as follows: Customers with an overall RFM score ≥ 4 are classified as Tier A customers; those with 3 ≤ score < 4 are Tier B customers; those with 2 ≤ score < 3 are Tier C customers; and those with a score < 2 are Tier D customers.