杭州市日化用品类客户分级评价数据

采集杭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：对从杭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 Recency (R, time since last consumption), Frequency (F, recent consumption frequency), and Monetary value (M, recent total consumption amount) of customers in the daily chemical product sector in Hangzhou. The RFM model is adopted to conduct customer value rating, and customers are divided into four tiers (A, B, C, D) via RFM analysis. Targeted marketing strategies are formulated for each segmented customer group to achieve precise and efficient operations. Through hierarchical customer management, this work meets the personalized demands of customers at different tiers, and provides data support for peer enterprises to manage multi-tiered customers and deliver precise personalized services.

1. Data Processing: The data collected from Hangzhou customers are subjected to desensitization, noise reduction, data cleaning, aggregation and analysis.
2. Data Refinement: Using the RFM model, customers are comprehensively ranked based on the score rankings of their Recency (R), Frequency (F) and Monetary value (M), and an overall RFM score is finally derived.
a. Extract the Recency (R), Frequency (F) and Monetary value (M) of customers for classification. Customers with the shortest time since last consumption are ranked first. Scores are assigned on a scale of 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. Classify customers based on their recent consumption frequency (F) in descending order. The top 20% of customers receive a score of 5 for their activity frequency, and so forth.
c. Classify customers based on their recent consumption amount (M). The top 20% of customers get a score of 5 for their consumption amount, and so on, with the bottom 20% (those with the lowest consumption amount) receiving 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 customers have an overall RFM score ≥ 4; Tier B customers have a score ≥ 3 and < 4; Tier C customers have a score ≥ 2 and < 3; Tier D customers have a score < 2.

搜集汇总

数据集介绍

特点

该数据集为杭州市日化用品类客户分级评价数据，包含712条记录，每日更新。数据集采用RFM模型对客户进行价值评级，分为ABCD四级，适用于精准营销和客户分级管理。