five

深圳市日化用品类客户分级评价数据

收藏
浙江省数据知识产权登记平台2024-10-31 更新2024-11-01 收录
下载链接:
https://www.zjip.org.cn/home/announce/trends/78860
下载链接
链接失效反馈
官方服务:
资源简介:
采集深圳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:对从深圳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 the customer's last purchase), Frequency (F, number of purchases within a recent period), and Monetary value (M, total purchase amount within a recent period) of customers in the daily chemical products industry in Shenzhen. The RFM model is employed to evaluate customer value, and customers are categorized into four tiers (A, B, C, D) via RFM analysis, followed by implementing targeted marketing strategies for precise and efficient operations. Through tiered customer management, personalized demands of customers at different tiers are satisfied, providing data support for peer enterprises to manage tiered customers and deliver precise personalized services. 1. Data Processing: Perform desensitization, denoising, cleaning, aggregation, and analysis on the data collected from Shenzhen. 2. Data Processing & Scoring: Utilize the RFM model to conduct a comprehensive ranking of customers based on the score rankings of R, F, and M, and finally derive the overall RFM score. a. Extract the three indicators R, F, and M for classification. Customers with the shortest time interval since last purchase are ranked first. Score customers on a 1-5 scale: the top 20% (first quintile) receive 5 points, the next 20% (second quintile) receive 4 points, the following 20% (third quintile) receive 3 points, the subsequent 20% (fourth quintile) receive 2 points, and the final 20% (bottom quintile) receive 1 point. b. Rank customers in descending order based on their recent purchase frequency (F): the top 20% (first quintile) receive a score of 5 for their purchase frequency, and so on for the remaining quintiles. c. Rank customers in descending order based on their recent total purchase amount (M): the top 20% (first quintile) receive a score of 5 for their purchase amount, and the bottom 20% with the lowest total purchase amount receive 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) Customer tiers are defined as follows: Tier A for scores ≥ 4, Tier B for 3 ≤ Score < 4, Tier C for 2 ≤ Score < 3, and Tier D for scores < 2.
提供机构:
浙江疆心疆选文化传媒有限公司
创建时间:
2024-10-09
搜集汇总
数据集介绍
main_image_url
特点
该数据集包含深圳市日化用品类客户的RFM评分和分级数据,共778条记录,每日更新。通过RFM模型(最近一次消费时间、消费频次、消费金额)对客户进行价值评级(ABCD四级),支持精准营销和客户分级管理。
以上内容由遇见数据集搜集并总结生成
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作