浙江省杭州市九洲大药房景芳店活跃度分级数据
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通过分析九洲大药房景芳店的会员消费金额、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景芳店的会员、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 study analyzes the member consumption amount, consumption frequency and consumption cycle of Jingfang Store of Jiuzhou Pharmacy to determine member tiering, which can be applied to two scenarios: first, for in-store member classification management, personalized precision marketing and service optimization strategy formulation; second, for enterprises or institutions in the pharmaceutical industry that require analysis of consumer behavior patterns and consumption capacity, including but not limited to peer pharmaceutical e-commerce and retail enterprises, health management and consulting service institutions, pharmaceutical R&D and production enterprises, financial institutions and insurance companies. 1. Data Source Data was collected on members, consumption time, consumption amount and other relevant information from Jingfang Store of Jiuzhou Pharmacy in Hangzhou, Zhejiang Province. 2. Data Processing Based on the collected data, three core metrics of the store's members within a one-year statistical cycle are analyzed: consumption amount (total expenditure of a member during the statistical cycle), consumption frequency (member's purchase frequency), and consumption cycle (time interval between member purchases to assess their activity level). Five member tiers are defined based on these metrics: - Core Members: Members with consumption amount ≥ a1, consumption frequency ≥ b1 and consumption cycle ≤ c1, who contribute the most to the store; - Regular Members: Members with a2 ≤ consumption amount < a1, b2 ≤ consumption frequency < b1 and c1 < consumption cycle ≤ c2, who maintain stable consumption volume and frequency, forming a stable customer base; - Lightly Dormant Members: Members with a3 ≤ consumption amount < a2, b3 ≤ consumption frequency < b2 and c2 < consumption cycle ≤ c3, whose consumption frequency has decreased but still make occasional purchases; - Moderately Dormant Members: Members with a3 ≤ consumption amount < a2, b3 ≤ consumption frequency < b2 and c2 < consumption cycle ≤ c3, who have extended consumption intervals and significantly reduced purchase frequency; - Deeply Dormant Members: Members with 0 ≤ consumption amount < a3, consumption frequency < b3 and c3 < consumption cycle ≤ 12, who have not made any purchases for an extended period and are nearly inactive; - Heavily Dormant Members: Members with zero consumption amount and zero consumption frequency, and consumption cycle > 12, who are less active than deeply dormant members and require targeted re-engagement strategies. The specific values of the thresholds 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's enterprise.




