浙江省杭州市九洲大药房九堡店活跃度分级数据

通过分析九洲大药房九堡店的会员消费金额、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九堡店的会员、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。This dataset determines member tier classification by analyzing the consumption amount, consumption frequency, and consumption cycle of members at Jiubao Store of Jiuzhou Pharmacy. It can not only be applied to store member classification management, personalized precision marketing, and the formulation of service optimization strategies, but also to enterprises and institutions related to the pharmaceutical industry that require analysis of consumer behavior patterns and consumption capacity, such as peer pharmaceutical e-commerce and retail enterprises, health management and consulting service institutions, pharmaceutical R&D and manufacturing enterprises, financial institutions and insurance companies, etc. 1. Data Source Data on members, consumption time, consumption amount and other relevant information were collected from Jiubao Store of Jiuzhou Pharmacy in Hangzhou City, Zhejiang Province. 2. Data Processing Based on the collected data, the consumption amount (cumulative total expenditure of members within the statistical cycle), consumption frequency (number of member purchases), and consumption cycle (time interval between member purchases to assess their activity level) of the store's members within the one-year statistical cycle are analyzed. Five member tiers are determined based on the above parameters: - Core Members: With consumption amount ≥ a1, consumption frequency ≥ b1, and consumption cycle ≤ c1, they contribute the most to the store. - Ordinary Members: With a2 ≤ consumption amount < a1, b2 ≤ consumption frequency < b1, and c1 < consumption cycle ≤ c2, they maintain consumption at a certain frequency and amount, constituting a stable customer base. - Mildly Dormant Members: With a3 ≤ consumption amount < a2, b3 ≤ consumption frequency < b2, and c2 < consumption cycle ≤ c3, their purchase frequency has declined but they still make occasional purchases. - Moderately Dormant Members: With a3 ≤ consumption amount < a2, b3 ≤ consumption frequency < b2, and c2 < consumption cycle ≤ c3, their purchase intervals have extended and purchase times have significantly decreased. - Deeply Dormant Members: With 0 ≤ consumption amount < a3, consumption frequency < b3, and c3 < consumption cycle ≤ 12, they have not made any consumption for a long time and are almost inactive. - Severely Dormant Members: With 0 consumption amount, 0 consumption frequency, and consumption cycle > 12, they are even less active than Deeply Dormant Members and require special reactivation strategies. The specific values of a1, a2, a3 for consumption amount, b1, b2, b3 for consumption frequency, and c1, c2, c3 for consumption cycle are trade secrets of the applicant enterprise.

搜集汇总

数据集介绍

特点

该数据集包含九洲大药房九堡店的会员消费数据，通过消费金额、次数和周期对会员进行分级，适用于会员管理和精准营销等场景。数据规模为25584条，按需更新。