泉州地区元宇宙名片客户分级评价数据

采集管理后台中泉州地区的数据，通过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，实现精准化运营，通过对泉州地区客户价值管理，满足不同价值客户的个性化需求。并为同行业企业不同价值类型的客户个性化服务提供数据支持。1、数据处理：对从管理后台中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。Data of Quanzhou region is collected from the collection and management backend. Customer value grading is conducted using the RFM model based on three metrics: customer's latest consumption time (R), recent consumption frequency (F), and recent consumption amount (M), so as to achieve precise operational management. Through customer value management in Quanzhou region, the personalized demands of customers at different value tiers are satisfied, and data support is provided for enterprises in the same industry to deliver personalized services for customers of different value types. 1. Data Processing: Desensitization, denoising, cleaning, aggregation and analysis are performed on the data collected from the management backend. 2. Data Refinement and Scoring: A comprehensive ranking of customers is conducted by combining the score rankings of the three metrics (latest consumption time R, recent consumption frequency F, and recent consumption amount M) using the RFM model, and the final RFM total score is calculated. a. Extract the latest consumption time (R), recent consumption frequency (F) and recent consumption amount (M) of customers for classification. Customers with the shortest interval since their latest consumption are ranked first. The scoring follows a 1-5 scale: the top 20% of customers receive 5 points, the next 20% receive 4 points, the subsequent 20% receive 3 points, the following 20% receive 2 points, and the last 20% receive 1 point. b. Classify customers in descending order of their recent consumption frequency (F). The top 20% of customers are awarded 5 points for their activity frequency score, and the rest are scored in the same percentile-based manner. c. Based on the recent consumption amount (M) of customers, the top 20% of customers receive 5 points for their consumption amount score, and so on. The 20% of customers with the lowest consumption amount get 1 point. The RFM total score is calculated as: RFM Score = 0.3 × R Score + 0.3 × F Score + 0.4 × M Score Customers are classified into four value tiers based on their RFM total score: Level A (score ≥ 4), Level B (3 ≤ score < 4), Level C (2 ≤ score < 3), and Level D (score < 2).

搜集汇总

数据集介绍

特点

泉州地区元宇宙名片客户分级评价数据集包含517条记录，采用RFM模型对客户进行价值评级，主要依据客户的最近一次消费时间、消费频次和消费金额进行评分，用于精准化运营和客户价值管理。