河南省木制玩具消费客户分级评价数据

采集销售记录表中购买木制玩具的数据，通过客户在2025年6月1日距离2025年6月30日间隔的最近一次消费时间天数R、客户在2025年6月1日至2025年6月30日之间消费频次F和客户在2025年6月1日至2025年6月30日之间消费M元， 采用 RFM 模型对客户进行价值评级，实现精准化运营，通过对购买木制玩具客户价值管理，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。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模型结合客户在2025年6月1日距离2025年6月30日间隔的最近一次消费时间天数R、客户在2025年6月1日至2025年6月30日之间消费频次F和客户在2025年6月1日至2025年6月30日之间消费M元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.提取出最近一次消费时间距离当前分析时间的天数R、客户在2025年6月1日距离2025年6月30日之间消费频次F和客户在2025年6月1日距离2025年6月30日之间消费M元进行分类，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.根据客户在2025年6月1日距离2025年6月30日消费频次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, 根据客户在2025年6月1日距离2025年6月30日消费金额M元，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 regarding purchases of wooden toys is collected from sales record tables. Using the Recency (R, number of days between the customer's most recent purchase within the period from June 1 to June 30, 2025 and June 30, 2025), Frequency (F, total number of purchases during June 1 to June 30, 2025), and Monetary value (M, total consumption amount in yuan during the same period) metrics, the RFM model is applied to grade customer value for precise operational management. This customer value management for wooden toy purchasers aims to meet the personalized demands of customers across different value tiers. Level A customers will receive monthly follow-up and maintenance, Level B customers quarterly follow-up, Level C customers semi-annual follow-up, and Level D customers annual follow-up. Additionally, this dataset can provide data support for enterprises with highly overlapping customer groups in this segment to deliver personalized services targeting different customer value types. Collected data from sales record tables will undergo desensitization, denoising, cleaning, aggregation and analysis.

2. Data Processing: A comprehensive customer ranking is conducted using the RFM model, combined with the score rankings of R, F and M metrics calculated based on the analysis period (June 1 to June 30, 2025), to derive the final overall RFM score.
a. Extract the three metrics R, F and M for classification. Customers with the shortest recency interval are ranked first. Scoring is conducted on a scale of 1 to 5: the top 20% of customers receive 5 points, the next 20% receive 4 points, the subsequent 20% receive 3 points, the next 20% receive 2 points, and the final 20% receive 1 point.
b. Classify customers in descending order based on their purchase frequency F during June 1 to June 30, 2025. The top 20% of customers are assigned a score of 5 for their activity frequency, and so on for the remaining groups.
c. Classify customers based on their total consumption amount M during June 1 to June 30, 2025. The top 20% of customers by consumption amount receive a score of 5, and so on. The bottom 20% of customers with the lowest consumption 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 are segmented into four tiers based on their overall RFM score: Level A (score ≥ 4), Level B (3 ≤ score < 4), Level C (2 ≤ score < 3), and Level D (score < 2).

搜集汇总

背景与挑战

背景概述

该数据集是河南省木制玩具消费客户的分级评价数据，包含540条记录，基于2025年6月的销售数据，运用RFM模型（考虑最近消费时间、消费频次和消费金额）对客户进行价值评级，分为A、B、C、D四个等级。其目的是帮助企业实现精准化运营，通过客户分级管理满足不同价值客户的个性化需求，并为相关企业提供数据支持。