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对于服装品牌企业客户等级的分析数据

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浙江省数据知识产权登记平台2025-11-05 更新2025-11-06 收录
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通过收集和分析服装品牌企业客户对皮革服装采购的相关数据,了解客户的购买力水平和采购偏好,一是可以为本行业的所有企业制定生产策略提供依据,二是市场管理方可以制定更精准的生产营销策略,为企业提供个性化的商品和服务。对于S级客户每月进行市场信息精准推送,对于A等级客户每季度进行市场信息精准推送,对于B等级每半年进行市场信息精准推送,对于C等级客户每年进行市场信息精准推送,对于D等级客户每两年进行市场信息精准推送。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:客户评分=0.25*(采购次数基准偏离度/采购次数极差)+0.25*(采购件数基准偏离度/采购件数极差)+0.3*(采购金额基准偏离度/采购金额极差)+0.2*身份权重,对结果进行四舍五入。其中采购次数基准偏离度=该客商采购总次数-采购次数最小值;采购件数基准偏离度=该客商采购总件数-采购次数最小值;采购金额基准偏离度=该客商采购总金额-采购金额最小值;采购次数最小值、采购次数最小值、采购金额最小值分别来源于所有客商的采购数据中取最小的数值。3.客户等级:客户评分>=0.3,为S级客户;0.2<=客户评分<0.3,为A级客户;0.1<=客户评分<0.2,为B级客户;0.05<=客户评分<0.1,为C级客户;客户评分<0.05,为D级客户。客户评分分数越高越好,根据评级安排更精准的生产营销策略。

By collecting and analyzing relevant data on leather apparel procurement from customers of apparel brand enterprises to understand customers' purchasing power levels and procurement preferences, this dataset can firstly provide a basis for all enterprises in the industry to formulate production strategies, and secondly enable market regulators to develop more precise production and marketing strategies to provide personalized goods and services for enterprises. Precise market information push is conducted monthly for Class S customers, quarterly for Class A customers, semi-annually for Class B customers, annually for Class C customers, and every two years for Class D customers. 1. Data Processing: Perform denoising, cleaning, anonymization, aggregation and analysis on the collected data. 2. Customer Scoring Calculation: Customer Score = 0.25*(Purchasing Frequency Baseline Deviation / Purchasing Frequency Range) + 0.25*(Purchased Quantity Baseline Deviation / Purchased Quantity Range) + 0.3*(Purchasing Amount Baseline Deviation / Purchasing Amount Range) + 0.2*Identity Weight, then round the result. Where: Purchasing Frequency Baseline Deviation = Total number of purchases by the merchant - Minimum Purchasing Frequency; Purchased Quantity Baseline Deviation = Total number of purchased items by the merchant - Minimum Purchased Quantity; Purchasing Amount Baseline Deviation = Total purchasing amount by the merchant - Minimum Purchasing Amount; The minimum purchasing frequency, minimum purchased quantity and minimum purchasing amount are all the minimum values extracted from the procurement data of all merchants. 3. Customer Tiering: Customers with a score ≥ 0.3 are classified as Class S customers; 0.2 ≤ Score < 0.3 as Class A customers; 0.1 ≤ Score < 0.2 as Class B customers; 0.05 ≤ Score < 0.1 as Class C customers; Score < 0.05 as Class D customers. Higher customer scores indicate better performance, and more precise production and marketing strategies will be formulated based on the customer tiers.
创建时间:
2025-10-15
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集包含801条服装品牌企业客户数据,通过采购次数、件数和金额等指标计算客户评分并划分S/A/B/C/D五个等级。数据集用于分析客户购买力差异,支持企业制定精准生产营销策略,例如对不同等级客户实施差异化信息推送频率。
以上内容由遇见数据集搜集并总结生成
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