浙江省杭州市九洲大药房利丰路店活跃度分级数据

通过分析九洲大药房利丰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利丰路店的会员、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。This dataset analyzes the member consumption amount, consumption frequency, and consumption cycle of Jiuzhou Pharmacy Lifeng Road Branch to establish member tiering systems, which can be applied not only to store member classification management, personalized precision marketing, and service optimization strategy formulation, but also to pharmaceutical-related enterprises and institutions requiring consumer behavior pattern and consumption capacity analysis, including peer pharmaceutical e-commerce and retail enterprises, health management and consulting service providers, pharmaceutical R&D and manufacturing enterprises, financial institutions, and insurance companies, among others. 1. Data Source Data including member information, consumption time, and consumption amount of Jiuzhou Pharmacy Lifeng Road Branch in Hangzhou City, Zhejiang Province were collected. 2. Data Processing Based on the collected data, three metrics of members at this store within a one-year statistical cycle were analyzed: consumption amount (cumulative total expenditure of each member during the cycle), consumption frequency (counted purchase frequency of members), and consumption cycle (time interval between member consumption behaviors, used to judge their activity level). Five member tiers were defined based on these three metrics: - Core Members: Consumption amount ≥ a1, consumption frequency ≥ b1, consumption cycle ≤ c1, making the greatest contribution to the store; - Regular Members: a2 ≤ Consumption amount < a1, b2 ≤ Consumption frequency < b1, c1 < Consumption cycle ≤ c2, maintaining steady consumption with a certain frequency and amount, forming a stable customer base; - Lightly Dormant Members: a3 ≤ Consumption amount < a2, b3 ≤ Consumption frequency < b2, c2 < Consumption cycle ≤ c3, with decreased consumption frequency but still making occasional purchases; - Moderately Dormant Members: a3 ≤ Consumption amount < a2, b3 ≤ Consumption frequency < b2, c2 < Consumption cycle ≤ c3, with extended consumption intervals and significantly reduced consumption frequency; - Deeply Dormant Members: 0 ≤ Consumption amount < a3, Consumption frequency < b3, c3 < Consumption cycle ≤ 12, with no consumption for an extended period and nearly inactive; - Severely Dormant Members: Consumption amount of 0 yuan, Consumption frequency of 0 times, Consumption cycle > 12, being more inactive than deeply dormant members and requiring targeted reactivation strategies. The specific values of the parameters a1, a2, a3 (consumption amount), b1, b2, b3 (consumption frequency), and c1, c2, c3 (consumption cycle) are trade secrets of the applicant enterprise.

搜集汇总

数据集介绍

特点

该数据集包含浙江省杭州市九洲大药房利丰路店的会员消费数据，共计94186条记录，用于分析会员消费金额、次数和周期以进行分级管理。应用场景包括会员分类管理、精准营销和服务优化，适用于医药行业及相关机构。