福建省厨具客户分级评价数据
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采集福建省厨具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：对从福建省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。
We collected the Recency (R, time since last purchase), Frequency (F, total purchase times within a given period), and Monetary value (M, total purchase amount within a given period) of kitchenware customers in Fujian Province. The RFM model is adopted to conduct customer value rating, and customers are divided into four levels (A, B, C, D) via RFM analysis. Corresponding marketing strategies are formulated for segmented customers to achieve precise and efficient operations. Through hierarchical customer management to meet the personalized demands of customers at different levels, this dataset provides data support for peer enterprises to manage multi-level customers and deliver accurate personalized services. 1. Data Processing: Perform data anonymization, denoising, cleaning, aggregation and analysis on the data collected from Fujian Province. 2. Data Scoring and Comprehensive Ranking: Use the RFM model combined with the score rankings of customers' Recency (R), Frequency (F) and Monetary value (M) within a given period to conduct a comprehensive ranking of customers, and finally generate an overall RFM score. a. Extract the Recency (R), Frequency (F) and Monetary value (M) of customers for grading. Customers with the shortest time interval since last purchase are ranked first. Score customers from 1 to 5: the top 20% of customers receive 5 points, the next 20% get 4 points, the subsequent 20% get 3 points, the following 20% get 2 points, and the last 20% get 1 point. b. Classify customers in descending order of their purchase Frequency (F) within a given period: the top 20% of customers are awarded 5 points for their purchase frequency, and the rest follow the same percentile grouping rule. c. Classify customers based on their Monetary value (M) within a given period: the top 20% of customers get 5 points for their total purchase amount, and the rest follow the same rule. The 20% of customers with the lowest purchase amount will be scored 1 point. The overall RFM score is calculated as: RFM Score = 0.3 * (R Score) + 0.3 * (F Score) + 0.4 * (M Score) Customers with an overall RFM score ≥ 4 are classified as Level A customers; those with 3 ≤ Score < 4 are Level B customers; those with 2 ≤ Score < 3 are Level C customers; and those with Score < 2 are Level D customers.
