广西省抖音平台厨房清洁剂类客户分级评价数据

分析广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，并为抖音平台在广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：对采集到的广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 < 1.5This dataset analyzes customer consumption behavior data for kitchen cleaning product shops operating on the Douyin platform in Guangxi Zhuang Autonomous Region. We adopt an improved RFMD model optimized based on the usage characteristics of kitchen cleaning products to conduct customer value rating by comprehensively considering four dimensions: the time since the customer's last purchase (R), purchase frequency within 90 days (F), total purchase amount within 90 days (M), and the number of kitchen cleaning product categories purchased within 90 days (D). Leveraging relevant shop data, we can accurately identify customers at different value tiers, formulate personalized operation strategies to meet the needs of diverse customer groups, provide data support for the precise operation of the Douyin platform in Guangxi, and offer valuable customer insights for enterprises in the same industry. 1. Data Processing: Noise reduction, cleaning, anonymization, aggregation and preliminary analysis are performed on the collected customer consumption data of kitchen cleaning products on the Douyin platform in Guangxi to ensure the accuracy and security of the data. 2. Comprehensive Scoring via RFMD Model: The improved RFMD model is adopted to conduct comprehensive scoring based on four dimensions: Recency (R, time since customer's last purchase), Frequency (F, purchase frequency within 90 days), Monetary (M, total purchase amount within 90 days), and Category Diversity (D, number of kitchen cleaning product categories purchased within 90 days). The calculation formula for the 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: Customers are divided into five tiers based on their RFMD comprehensive scores: - Tier A: Score ≥ 4.5 - Tier B: 3.5 ≤ Score < 4.5 - Tier C: 2.5 ≤ Score < 3.5 - Tier D: 1.5 ≤ Score < 2.5 - Tier E: Score < 1.5

搜集汇总

数据集介绍

特点

该数据集包含1001条记录，每季度更新，用于分析广西省抖音平台上厨房清洁剂类产品的客户消费行为。通过RFMD模型对客户进行价值评级，帮助制定个性化运营策略，支持精准化运营。