陕西省抖音平台食品类客户分级评价数据

采集陕西省抖音平台客户消费行为数据，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，通过对陕西省抖音平台客户价值管理，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。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：运用RFM模型结合用户的最近一次活动（R）、用户活动频率（F）和消费金额（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)，将用户按照最近一次活动（R）进行分类，最近一次活动时间间隔最短的用户排在最上面。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.根据客户活动频率（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.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=（R）得分*0.3+（F）得分*0.3+（M）得分*0.4。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。
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 consumer behavior data of users on the Douyin platform in Shaanxi Province. Using the RFM model with three core indicators: Recency (R, time since the most recent consumption), Frequency (F, consumption frequency within a recent period) and Monetary (M, total consumption amount within a recent period), we conduct value rating for users to achieve precise operational management. The customer value management for Douyin platform users in Shaanxi aims to meet the personalized needs of users with different value tiers, and provide data support for personalized services targeting different value-type customers for enterprises in the same industry.
1. Data Processing: Perform denoising, cleaning, data desensitization, aggregation and analysis on the collected raw data.
2. Data Scoring and Grading: Apply the RFM model combined with the score rankings of Recency (R), Consumption Frequency (F) and Monetary (M) to conduct a comprehensive ranking of users, and finally generate an overall RFM score.
a. Extract the three core indicators: Recency (R, time since the most recent consumption), Consumption Frequency (F, consumption frequency within a recent period) and Monetary (M, total consumption amount within a recent period). First, classify users based on their Recency (R): users with the shortest interval since their last consumption are ranked highest. Assign scores from 1 to 5: the top 20% of users receive 5 points, the next 20% get 4 points, the subsequent 20% get 3 points, the following 20% get 2 points, and the last 20% get 1 point.
b. Classify users in descending order of their consumption frequency (F): the top 20% get 5 points, and the remaining groups follow the same scoring rule.
c. For the consumption amount (M) indicator: the top 20% of users get 5 points, while the bottom 20% with the least total consumption amount get 1 point, adhering to the same ranking principle.
The overall RFM score is calculated as: RFM Score = (R score) * 0.3 + (F score) * 0.3 + (M score) * 0.4. Users are then classified into four tiers: customers with a score ≥4 are Grade A, those with 3 ≤ score <4 are Grade B, 2 ≤ score <3 are Grade C, and those with score <2 are Grade D.
3. Tiered Customer Management: Provide data support for personalized services targeting different value-type customers through classified customer management.

搜集汇总

数据集介绍

特点

该数据集包含陕西省抖音平台食品类客户的消费行为数据，通过RFM模型对客户进行价值评级，共1587条记录，每月更新，主要用于客户价值管理和精准化运营。