遇见数据集

浙江省杭州市九洲大药房东冠路店活跃度分级数据

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浙江省数据知识产权登记平台2024-11-19 更新2024-11-20 收录
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通过分析九洲大药房东冠路店的会员消费金额、消费次数、消费周期,从而确定会员分级,不仅可用于门店会员分类管理、个性化精准营销以及服务优化策略制定;也可用于针对与医药行业相关、对消费者行为模式与消费能力分析有需求的企业或机构,例如同类医药电商与零售企业、健康管理与咨询服务机构、医药研发与生产企业、金融机构与保险公司等。1.数据来源 采集了浙江省杭州市九洲大药房东冠路店的会员、消费时间、消费金额等数据。 2.数据处理 基于采集数据,分析该店会员在统计周期(一年)内的消费金额(累计会员在统计周期内的总支出)、消费次数(统计会员的购买频率)、消费周期(分析会员消费的时间间隔,判断其活跃程度),根据上述参数确定五个会员等级: 核心会员:消费金额≥a1、消费次数≥b1,消费周期≤c1,对店铺贡献最大; 普通会员:a2≤消费金额<a1、b2≤消费次数<b1,c1<消费周期≤c2,保持一定频率和额度的消费,是稳定客户群。 轻度睡眠会员:a3≤消费金额<a2、b3≤消费次数<b2,c2<消费周期≤c3,消费频率有所下降,但仍偶有购买。 中度睡眠会员:a3≤消费金额<a2、b3≤消费次数<b2,c2<消费周期≤c3,消费间隔延长,消费次数明显减少。 深度睡眠会员:0≤消费金额<a3、消费次数<b3,c3<消费周期≤12,长时间未进行任何消费,几乎不活跃。 重度睡眠会员:消费金额0元、消费次数0次,消费周期>12,比深度睡眠会员更为不活跃,需要特别唤醒策略。 其中,消费金额值a1、a2、a3,消费次数值b1、b2、b3,消费周期值c1、c2、c3的具体数值为申请人企业机密。

By analyzing the consumption amount, purchase frequency, and consumption cycle of members at Jiuzhou Pharmacy Dongguan Road Store, member tier classification can be determined, which can not only be used for store member classification management, personalized precision marketing, and the formulation of service optimization strategies; it can also be applied to enterprises or institutions related to the pharmaceutical industry that have demand for analyzing consumer behavior patterns and consumption capacity, such as similar pharmaceutical e-commerce and retail enterprises, health management and consulting service institutions, pharmaceutical research and development and production enterprises, financial institutions and insurance companies, etc. 1. Data Source Data including member information, consumption time, and consumption amount were collected from Jiuzhou Pharmacy Dongguan Road Store in Hangzhou, Zhejiang Province. 2. Data Processing Based on the collected data, the consumption amount (total expenditure of members within the one-year statistical cycle), purchase frequency (member purchase frequency), and consumption cycle (time interval between member consumption to judge their activity level) of the store's members are analyzed within the statistical cycle (one year). Five member tiers are determined based on the above parameters: - Core Members: Members with consumption amount ≥ a1, purchase frequency ≥ b1, and consumption cycle ≤ c1, who make the greatest contribution to the store; - Regular Members: Members with a2 ≤ consumption amount < a1, b2 ≤ purchase frequency < b1, and c1 < consumption cycle ≤ c2, who maintain a certain level of consumption frequency and amount and constitute a stable customer group; - Lightly Dormant Members: Members with a3 ≤ consumption amount < a2, b3 ≤ purchase frequency < b2, and c2 < consumption cycle ≤ c3, whose consumption frequency has declined but still make occasional purchases; - Moderately Dormant Members: Members with a3 ≤ consumption amount < a2, b3 ≤ purchase frequency < b2, and c2 < consumption cycle ≤ c3, whose consumption interval is extended and purchase frequency has significantly decreased; - Deeply Dormant Members: Members with 0 ≤ consumption amount < a3, purchase frequency < b3, and c3 < consumption cycle ≤ 12, who have not made any consumption for a long time and are almost inactive; - Severely Dormant Members: Members with 0 consumption amount and 0 purchase frequency, and consumption cycle > 12, who are even less active than Deeply Dormant Members and require special customer re-engagement strategies. The specific values of the consumption amount indicators a1, a2, a3, purchase frequency indicators b1, b2, b3, and consumption cycle indicators c1, c2, c3 are trade secrets of the applicant's enterprise.

创建时间:
2024-10-22
搜集汇总
数据集介绍
浙江省杭州市九洲大药房东冠路店活跃度分级数据 数据集图片
特点
该数据集记录了九洲大药房东冠路店的会员消费信息,包括消费金额、次数和周期,用于会员分级管理。数据规模为6740条,适用于医药零售、健康管理等行业的消费者行为分析。
以上内容由遇见数据集搜集并总结生成
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