合肥地区公司平台客户价值评估数据

采集公司管理平台中合肥地区的数据，通过客户最后消费时间距离当前分析时间的天数（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，通过对合肥地区客户价值管理，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。数据加工：运用RFM模型结合“客户最后消费时间距离当前分析时间的天数（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.提取出最后消费时间距离当前分析时间（分析时间为2024年11月2日）的天数（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 is sourced from the company's management platform, covering customer data in the Hefei region. It conducts customer value rating via the RFM model based on three core metrics: the number of days between the customer's last consumption time and the current analysis date (R), recent consumption frequency (F), and recent consumption amount (M), so as to enable precise customer operation. Through customer value management in the Hefei region, it meets the personalized demands of customers with different value tiers, and provides data support for personalized services targeting customers of different value types for peer enterprises in the same industry. Data processing workflow: A comprehensive customer ranking is generated by combining the score rankings of the three RFM metrics, and an overall RFM score is finally calculated. a. Extract the three metrics: R (number of days between the customer's last consumption and the analysis date, which is November 2, 2024), F (recent consumption frequency), and M (recent consumption amount) for classification. Customers are sorted in ascending order of time since last consumption (i.e., customers with the shortest interval since last purchase rank first). Customers are scored from 1 to 5: the top 20% 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. Classify customers in descending order based on their recent consumption frequency (F). The top 20% of customers get a score of 5 for their activity frequency, and the scoring follows the same 20% tier rule as above. c. Based on customers' recent consumption amount (M), the top 20% of customers receive a score of 5, and the scoring follows the same 20% tier rule. The 20% of customers with the lowest consumption amount get 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 segmented into four tiers based on their overall RFM score: Tier A for scores ≥4, Tier B for 3 ≤ Score <4, Tier C for 2 ≤ Score <3, and Tier D for Score <2.

搜集汇总

数据集介绍

特点

该数据集包含605条合肥地区公司平台的客户数据，采用RFM模型对客户进行价值评级，数据格式为xlsx，更新频次为按需更新。数据集适用于精准化运营和个性化服务，支持同行业企业的客户价值管理。