福州地区元宇宙名片客户分级评价数据

采集管理后台中福州地区的数据，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，通过对福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。

This dataset collects data of the Fuzhou region from the collection management background. It adopts the RFM model to conduct customer value rating based on three core metrics: Recency (R, time since the customer's latest purchase), Frequency (F, number of purchases within a recent period), and Monetary value (M, total purchase amount within a recent period), so as to realize precise operational management, meet the personalized needs of customers with different value tiers in Fuzhou, and provide data support for personalized services of customers with different value types for enterprises in the same industry.

1. Data Processing: Desensitize, denoise, clean, aggregate and analyze the data collected from the management background.
2. Data Calculation & Ranking: Utilize the RFM model to perform comprehensive ranking of customers based on the score rankings of Recency (R), Frequency (F) and Monetary value (M), and finally derive the overall RFM score.
a. Extract the three metrics of R, F and M for classification. For the Recency (R) metric, customers with the shortest time interval since their latest purchase are ranked first. Score them 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 next 20% get 2 points, and the last 20% get 1 point.
b. Classify customers based on their purchase frequency (F) in descending order. The top 20% of customers are awarded 5 points for their purchase frequency score, and the rest follow the same scoring rule.
c. Classify customers based on their total purchase amount (M) in descending order. The top 20% of customers receive 5 points for their purchase amount score, and the last 20% get 1 point.

The overall RFM score is calculated as: RFM Score = 0.3 * R_score + 0.3 * F_score + 0.4 * M_score.

Customer grading criteria: Customers with a score greater than or equal to 4 are classified as Class A customers; those with a score of 3 or higher but lower than 4 are Class B customers; those with a score of 2 or higher but lower than 3 are Class C customers; and those with a score lower than 2 are Class D customers.

搜集汇总

数据集介绍

特点

福州地区元宇宙名片客户分级评价数据集包含618条记录，采用RFM模型对客户进行价值评级，评级依据包括最近一次消费时间、消费频次和消费金额，旨在实现精准化运营和个性化服务。