济南市日化用品类客户分级评价数据

采集济南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：对从济南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 the Recency (R, time elapsed since a customer’s last purchase), Frequency (F, total number of purchases within a specified recent period), and Monetary value (M, total transaction amount within a specified recent period) of customers purchasing daily chemical products in Jinan City. The RFM model is employed to assess customer value, and customers are categorized into four tiers (A, B, C, D) via RFM analysis, with tailored marketing strategies adopted for each segment to facilitate precise and efficient operational management. Through tiered customer management, personalized demands of different customer groups are satisfied, and data support is provided for peer enterprises to manage multi-tier customers and deliver accurate personalized services.

1. Data Processing: Desensitization, denoising, cleaning, aggregation and analysis are performed on the raw data collected from Jinan City.

2. Data Scoring and Processing: The RFM model is applied to generate a comprehensive customer ranking based on the score rankings of R, F and M metrics, and an overall RFM score is finally calculated for each customer.
a. Extract the R, F and M metrics of each customer, and sort customers in ascending order of time since last purchase (i.e., customers with shorter elapsed time since last purchase rank higher). Score customers on a 1-5 scale: the top 20% of customers receive a score of 5, the next 20% get 4 points, the subsequent 20% get 3 points, the next 20% get 2 points, and the last 20% get 1 point.
b. Sort customers in descending order of their recent purchase frequency (F), and assign scores on the 1-5 scale in the same tiered manner: the top 20% receive 5 points, and so on for the remaining groups.
c. Sort customers in descending order of their recent total transaction amount (M), and assign scores on the 1-5 scale as before: the top 20% receive 5 points, and the bottom 20% (with the smallest transaction 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)

Customer tier classification criteria: Customers with an RFM score ≥4 are classified as Tier A customers; those with a score ≥3 but <4 are Tier B customers; those with a score ≥2 but <3 are Tier C customers; and those with a score <2 are Tier D customers.

搜集汇总

数据集介绍

特点

该数据集包含636条济南市日化用品类客户的分级评价数据，采用RFM模型对客户进行价值评级，分为ABCD四级。数据每日更新，适用于精准营销和个性化服务。