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鄂尔多斯地区智能家居咨询客户分级评价数据

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浙江省数据知识产权登记平台2024-12-09 更新2024-12-10 收录
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资源简介:
采集销售记录表中鄂尔多斯地区的数据,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,通过对鄂尔多斯地区客户价值管理,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。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(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 pertaining to the Ordos region was collected from the sales record sheet. Customer value rating is conducted using the RFM model based on Recency (R: time since last purchase), Frequency (F: number of purchases over a specified period), and Monetary value (M: total purchase amount over a specified period), to enable precise operational management. This customer value management for Ordos region clients caters to the personalized needs of customers with different value tiers, and provides data support for personalized services targeting customers of different value types for enterprises in the same industry. The collected data from the sales record sheet is subjected to desensitization, denoising, cleaning, aggregation and analysis. 2. Data Processing: A comprehensive ranking of customers is conducted using the RFM model based on the score rankings of Recency (R), Frequency (F) and Monetary value (M) of each customer, and a final overall RFM score is calculated. a. Extract the Recency (R), Frequency (F) and Monetary value (M) metrics for classification. Customers with the shortest time since last purchase are ranked first. Scoring is conducted on a scale of 1 to 5: the top 20% of customers 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 based on their purchase frequency (F) over the specified period in descending order. The top 20% of customers are assigned a score of 5 for their activity frequency, and so on. c. Classify customers based on their total purchase amount (M) over the specified period. The top 20% of customers receive a score of 5 for their purchase amount, and so on. The 20% of customers with the lowest 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). Customers with a score ≥4 are classified as Tier A clients, those with 3 ≤ score <4 are Tier B clients, those with 2 ≤ score <3 are Tier C clients, and those with a score <2 are Tier D clients.
提供机构:
杭州沄涞科技有限公司
创建时间:
2024-11-13
搜集汇总
数据集介绍
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特点
该数据集包含506条鄂尔多斯地区智能家居咨询客户的RFM评分数据,用于客户价值评级和精准化运营。通过RFM模型(最近一次消费时间、消费频次、消费金额)对客户进行分级,支持个性化服务需求。
以上内容由遇见数据集搜集并总结生成
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