浙江省杭州市九洲大药房天都二店活跃度分级数据

通过分析九洲大药房天都二店的会员消费金额、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天都二店的会员、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 tiers by analyzing the consumption amount, consumption frequency, and consumption cycle of members at Jizhou Pharmacy Tiandu No.2 Store. It can not only be used for store member classification management, personalized precision marketing, and formulation of service optimization strategies, but also for enterprises or institutions related to the pharmaceutical industry that have demand for analyzing consumer behavior patterns and consumption capabilities, 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, consumption amount, etc., from Jizhou Pharmacy Tiandu No.2 Store in Hangzhou, Zhejiang Province were collected.

2. Data Processing
Based on the collected data, the consumption amount (cumulative total expenditure of members within the statistical cycle of one year), consumption frequency (count of member purchases), and consumption cycle (time interval between member consumption to judge their activity level) of the store's members are analyzed. Five member tiers are determined according to the above parameters:
- Core Members: Those with cumulative consumption amount ≥ a1, consumption frequency ≥ b1, and consumption cycle ≤ c1, who contribute the most to the store.
- Ordinary Members: Those with a2 ≤ cumulative consumption amount < a1, b2 ≤ consumption frequency < b1, and c1 < consumption cycle ≤ c2, who maintain consumption at a certain frequency and amount and constitute a stable customer group.
- Light Sleep Members: Those with a3 ≤ cumulative consumption amount < a2, b3 ≤ consumption frequency < b2, and c2 < consumption cycle ≤ c3, whose consumption frequency has decreased but still make occasional purchases.
- Moderate Sleep Members: Those with a3 ≤ cumulative consumption amount < a2, b3 ≤ consumption frequency < b2, and c2 < consumption cycle ≤ c3, whose consumption interval is prolonged and consumption frequency has significantly decreased.
- Deep Sleep Members: Those with 0 ≤ cumulative consumption amount < a3, consumption frequency < b3, and c3 < consumption cycle ≤ 12, who have not made any purchases for a long time and are almost inactive.
- Severe Sleep Members: Those with cumulative consumption amount of 0 yuan, consumption frequency of 0 times, and consumption cycle >12, who are even less active than Deep Sleep Members and require special re-engagement strategies.

The specific values of a1, a2, a3 (consumption amount thresholds), b1, b2, b3 (consumption frequency thresholds), and c1, c2, c3 (consumption cycle thresholds) are trade secrets of the applicant’s enterprise.