温州市日化用品类客户分级评价数据

采集温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：对从温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 key metrics: Recency (R, time elapsed since the customer's last purchase), Frequency (F, total number of purchases made by the customer within a recent time window), and Monetary Value (M, total consumption amount of the customer within a recent time window) for customers in the daily chemical products sector of Wenzhou City. The RFM model is utilized to perform customer value segmentation, dividing customers into four tiers (A, B, C, D) through RFM analysis, and targeted marketing strategies are adopted for each customer segment to enable precise and efficient operational management. By implementing tiered customer management to meet the personalized demands of customers at different tiers, this dataset provides data support for peer enterprises to manage tiered customers and deliver precise personalized services.
1. Data Processing: The raw data collected from Wenzhou customers will be subjected to a series of preprocessing steps including data desensitization, denoising, cleaning, aggregation and analysis.
2. Data Enrichment: A comprehensive customer ranking is generated using the RFM model, based on the score rankings of the three metrics (R, F, M) for each customer, to derive the final overall RFM score.
a. First, extract and categorize the three metrics (R, F, M) of customers. Sort customers in descending order based on their time since last purchase (i.e., customers with the shortest elapsed time since last purchase are ranked highest). Assign scores ranging 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. Rank customers in descending order based on their purchase frequency (F), and assign scores in the same 20% tiered manner: the top 20% of customers get a score of 5, and so forth.
c. Rank customers in descending order based on their total consumption amount (M), and assign scores accordingly: the top 20% of customers receive a score of 5, while the bottom 20% with the smallest consumption amounts receive a score of 1.
The overall RFM score is calculated using the formula:
RFM Score = 0.3 × R_score + 0.3 × F_score + 0.4 × M_score
Customers are categorized into tiers as follows:
- Tier A: RFM score ≥ 4
- Tier B: 3 ≤ RFM score < 4
- Tier C: 2 ≤ RFM score < 3
- Tier D: RFM score < 2

搜集汇总

数据集介绍

特点

该数据集包含833条温州市日化用品类客户的RFM评分数据，每日更新，采用RFM模型将客户分为ABCD四级，适用于精准营销和客户分级管理。