江西省抖音平台厨房清洁剂类客户分级评价数据

分析江西省抖音平台上经营店铺的厨房清洁剂类产品客户消费行为数据。我们采用根据厨房清洁剂使用特征优化的改进RFMD模型，综合考虑客户最近一次购买时间（R）、90天内购买频次（F）、90天内购买总金额（M）以及90天内购买厨房清洁剂种类数量（D）四个维度，对客户进行价值评级。通过店铺的相关数据，我们能够更精准地识别不同价值层次的客户，制定个性化的运营策略，满足不同客户群的需求，并为抖音平台在江西省的精准化运营提供数据支持，同时为同行业企业提供有价值的客户洞察。1、数据处理：对采集到的江西省抖音平台厨房清洁剂类产品客户消费数据进行降噪、清洗、脱敏、聚合和初步分析，确保数据的准确性和安全性。2、数据处理：采用RFMD模型，结合客户的最近一次购买时间（R）、90天内购买频次（F）、90天内购买总金额（M）和90天内购买厨房清洁剂种类数量（D）四个维度进行综合评分。RFMD综合得分计算：RFMD得分 = R得分 * 0.3 + F得分 * 0.2 + M得分 * 0.2 + D得分 * 0.3。
3、数据应用：根据RFMD综合得分，将客户分为以下五个等级：
A级客户：得分 ≥ 4.5
B级客户：3.5 ≤ 得分 < 4.5
C级客户：2.5 ≤ 得分 < 3.5
D级客户：1.5 ≤ 得分 < 2.5
E级客户：得分 < 1.5

This dataset analyzes customer consumption behavior data for kitchen cleaner products from operating shops on the Douyin platform in Jiangxi Province. We adopt an improved RFMD model optimized based on kitchen cleaner usage characteristics, and conduct customer value rating by comprehensively considering four dimensions: recency of customer's last purchase (R), purchase frequency within 90 days (F), total purchase amount within 90 days (M), and number of kitchen cleaner product categories purchased within 90 days (D). With the shop-related data, we can accurately identify customer groups of different value tiers, formulate personalized operation strategies to meet the demands of various customer segments, provide data support for the precise operation of the Douyin platform in Jiangxi Province, and offer valuable customer insights for enterprises in the same industry.
1. Data Processing: Perform denoising, cleaning, desensitization, aggregation and preliminary analysis on the collected customer consumption data of kitchen cleaner products on the Douyin platform in Jiangxi Province to ensure the accuracy and security of the data.
2. Data Processing: Adopt the improved RFMD model to conduct comprehensive scoring based on the four dimensions of customer's last purchase recency (R), purchase frequency within 90 days (F), total purchase amount within 90 days (M) and number of purchased kitchen cleaner product categories within 90 days (D). The calculation formula of RFMD comprehensive score is: RFMD Score = R Score * 0.3 + F Score * 0.2 + M Score * 0.2 + D Score * 0.3.
3. Data Application: Divide customers into five tiers based on the RFMD comprehensive score:
- Tier A customers: Score ≥ 4.5
- Tier B customers: 3.5 ≤ Score < 4.5
- Tier C customers: 2.5 ≤ Score < 3.5
- Tier D customers: 1.5 ≤ Score < 2.5
- Tier E customers: Score < 1.5

搜集汇总

数据集介绍

特点

该数据集包含江西省抖音平台厨房清洁剂类产品的客户消费行为数据，共计1001条记录，每季度更新一次。数据集采用改进的RFMD模型对客户进行价值评级，综合考虑最近一次购买时间、90天内购买频次、总金额和种类数量四个维度，旨在帮助制定个性化运营策略和精准化运营。