南通市日化用品类客户分级评价数据

采集南通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：对从南通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 the Recency (R, time since 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 sector in Nantong. The RFM model is adopted to conduct customer value segmentation, and customers are divided into four tiers (A, B, C, D) via RFM analysis. Corresponding marketing strategies are formulated for each segmented customer group to enable precise and efficient operations. By implementing tiered customer management, this work meets the personalized needs of customers at different tiers, and provides data support for peer enterprises to manage customers of various tiers and deliver precise personalized services.
1. Data Preprocessing: The data collected from Nantong customers undergo anonymization, denoising, cleaning, aggregation, and preliminary analysis.
2. Data Calculation and Enrichment: The RFM model is applied to generate a comprehensive ranking and final overall RFM score for each customer, based on the score rankings of the three indicators (R, F, M).
a. Recency (R) Scoring: Extract the time since last purchase of customers for classification. Customers with the shortest time since last purchase are ranked highest. Scores are assigned on a 1-5 scale: the top 20% of customers receive a score of 5, 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. Frequency (F) Scoring: Rank customers in descending order of their recent purchase frequency. The top 20% receive a score of 5 for their activity frequency, and the scoring follows the same percentile allocation for the remaining groups.
c. Monetary Value (M) Scoring: Rank customers by their recent total purchase amount. The top 20% receive a score of 5 for their purchase amount, and the scoring follows the same percentile allocation, with the bottom 20% (those with the lowest purchase amounts) receiving 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 final RFM score: Tier A for scores ≥ 4, Tier B for 3 ≤ score < 4, Tier C for 2 ≤ score < 3, and Tier D for scores < 2.

搜集汇总

数据集介绍

特点

该数据集包含661条南通市日化用品类客户的RFM评分数据，每日更新，用于客户分级管理和精准营销。数据采用RFM模型，根据客户的最近消费时间、消费频次和消费金额进行评分和分级，支持个性化服务策略制定。