云南地区抖音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 utilizes the RFM model to conduct customer value grading based on three core metrics: Recency (R, the time interval since the customer’s most recent consumption), Frequency (F, the total number of consumption transactions within a specified recent period), and Monetary (M, the total consumption amount within a specified recent period), so as to provide data support for personalized service provision for customers of different value tiers. 1. Data Processing: Perform denoising, data cleaning, anonymization, aggregation and exploratory analysis on the collected raw data. 2. Data Feature Engineering and Grading Calculation: Extract the three aforementioned RFM metrics. Then, combine the score rankings of the customer’s latest activity, activity frequency and consumption amount with the RFM model to generate a comprehensive customer ranking, and finally obtain the overall RFM total score. Customers with a total score ≥4 are classified as Level A customers, those with 3 ≤ score <4 as Level B customers, those with 2 ≤ score <3 as Level C customers, and those with score <2 as Level D customers. 3. Graded Customer Management: Provide data support for personalized service development for customers of different value types based on the established customer grading system.

搜集汇总

数据集介绍

特点

云南地区抖音坐垫类消费者分析数据集包含1020条记录，通过RFM模型对消费者进行价值评级，支持个性化服务，适用于批发和零售业，每年更新一次。