遇见数据集

广东省购买公司防撞桶客户价值评估数据

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浙江省数据知识产权登记平台2025-10-27 更新2025-10-28 收录
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采集销售记录表中广东省的数据,通过分析客户对防撞桶消费相关数据,了解客户对防撞桶的购买力水平和消费偏好,并对客户进行价值评级,实现精准化运营,满足不同价值客户的个性化需求。对A级客户,每个月进行一次回访维护,对B级客户,每个季度进行一次回访维护,对C级客户每半年进行一次回访维护,对D级客户每年进行一次回访维护。另外可以为本地区客户群体高度重叠企业提供不同价值类型的客户个性化服务的数据支持。1、数据处理:对从销售记录表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天数(R)、消费频次(F)和消费金额(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.提取出客户上次消费时间距离2025年6月30日的天数R、消费频次(F)和消费金额(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.根据消费频次(F)从高到底依次对客户进行分类,前20%的客户在用户活动频率的分数为5,以此类推。 C.根据客户的消费金额(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 Guangdong Province from sales records. By analyzing customers' consumption-related data regarding anti-collision barrels, it aims to understand customers' purchasing power and consumption preferences for anti-collision barrels, conduct customer value rating, enable precise operation, and meet the personalized needs of customers with different value tiers. Tier A customers will receive monthly follow-up and maintenance, Tier B customers quarterly, Tier C customers semi-annually, and Tier D customers annually. Additionally, this dataset can provide data support for enterprises with highly overlapping local customer bases to deliver personalized services for customers of different value tiers. 1. Data Processing: The collected data from sales records will undergo data desensitization, denoising, cleaning, aggregation and analysis. 2. Data Refinement: The RFM model is applied to conduct a comprehensive ranking of customers based on the score rankings of three metrics: the number of days since the customer's last purchase (R), purchase frequency (F), and consumption amount (M), ultimately deriving an overall RFM score. a. Extract the number of days between the customer's last purchase and June 30, 2025 (denoted as R), purchase frequency (F), and consumption amount (M) for classification. Customers with the shortest time interval since their last purchase are ranked first. Scoring is conducted on 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 purchase frequency (F). The top 20% of customers get a score of 5 for their activity frequency, and so on. c. Classify customers based on their consumption amount (M). The top 20% of customers receive a score of 5 for their consumption amount, and so on; 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 classified as follows: Tier A for scores ≥ 4, Tier B for 3 ≤ score < 4, Tier C for 2 ≤ score < 3, and Tier D for score < 2.

创建时间:
2025-07-15
搜集汇总
数据集介绍
广东省购买公司防撞桶客户价值评估数据 数据集图片
背景与挑战
背景概述
该数据集包含640条广东省购买防撞桶的客户数据,通过RFM模型分析客户消费行为(包括消费时间、频次和金额),对客户进行价值评级(A、B、C、D级)。其特点在于支持精准化运营,例如根据客户等级制定回访策略,并为企业提供数据支持以实现个性化服务。
以上内容由遇见数据集搜集并总结生成
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