浙江地区拼多多坐垫类消费者分析数据

采集客户消费行为数据，通过客户的最近一次消费时间间隔(R)、最近一段时间内消费频次(F)和最近一段时间内消费金额(M)，采用RFM模型对客户进行价值评级，为不同价值类型的客户个性化服务提供数据支持。1、数据处理：对采集到的数据进行降噪、清洗、脱敏、聚集、分析。2、数据加工：提取出最近一次消费时间（R）、最近一段时间消费频次(F)、最近一段时间消费金额(M)，运用RFM模型结合用户的最近一次活动、用户活动频率和消费金额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。评分＞＝4分的为A级客户，＞＝3小于4的为B级客户，＞＝2小于3的为C 级客户，＜2的为D 级客户。3、通过对客户的分级管理，为不同价值类型的客户个性化服务提供数据支持。

This dataset collects customer consumption behavior data, and adopts the RFM model to conduct customer value rating based on three core metrics: Recency (R, the time interval since the customer's last consumption), Frequency (F, the consumption frequency within a specific observation period), and Monetary (M, the total consumption amount within the same observation period), so as to provide data support for personalized services targeting customers of different value segments.
1. Preliminary Data Processing: Conduct denoising, cleaning, anonymization, aggregation and preliminary analysis on the collected raw customer consumption data.
2. Advanced Data Processing and Scoring: Extract the three aforementioned metrics (R, F and M). Then, combine the score rankings of the user's latest activity, activity frequency and consumption amount with the RFM model to generate a comprehensive customer ranking, and calculate the final overall RFM score. Customers are classified into four tiers as follows: Level A customers with an overall RFM score ≥ 4, Level B customers with 3 ≤ score < 4, Level C customers with 2 ≤ score < 3, and Level D customers with score < 2.
3. Provide data support for personalized services tailored to customers of different value segments through hierarchical management based on the RFM rating results.

搜集汇总

数据集介绍

特点

该数据集包含1092条记录，每年更新一次，适用于批发和零售业。通过RFM模型对消费者进行分级管理，为不同价值类型的客户提供个性化服务支持。