浙江省杭州市九洲大药房留下店活跃度分级数据

通过分析九洲大药房留下店的会员消费金额、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留下店的会员、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 is developed by analyzing the consumption amount, consumption count and consumption cycle of members from Jiuzhou Pharmacy Liuxia Store to determine member tiers. It can be applied not only to store member classification management, personalized precision marketing and service optimization strategy formulation, but also to pharmaceutical-related enterprises or institutions that require analysis of consumer behavior patterns and consumption capacity, including same-type pharmaceutical e-commerce and retail enterprises, health management and consulting service institutions, pharmaceutical R&D and production enterprises, financial institutions and insurance companies, among others.

1. Data Source
Data including member information, consumption time and consumption amount of Jiuzhou Pharmacy Liuxia Store in Hangzhou, Zhejiang Province were collected for this dataset.

2. Data Processing
Based on the collected data, three metrics for members of the store within a one-year statistical cycle were analyzed: 1) consumption amount, referring to the total expenditure of a single member during the statistical cycle; 2) consumption count, i.e., the member's purchase frequency; 3) consumption cycle, referring to the time interval between consecutive member purchases to judge their activity level. Five member tiers were defined based on these three metrics:
- Core Members: Members with consumption amount ≥ a1, consumption count ≥ b1 and consumption cycle ≤ c1, who contribute the most to the store;
- Ordinary Members: Members with a2 ≤ consumption amount < a1, b2 ≤ consumption count < b1 and c1 < consumption cycle ≤ c2, who maintain stable consumption with a certain frequency and amount, forming a steady customer base;
- Light Sleep Members: Members with a3 ≤ consumption amount < a2, b3 ≤ consumption count < b2 and c2 < consumption cycle ≤ c3, whose consumption frequency has declined but still make occasional purchases;
- Moderate Sleep Members: Members with a3 ≤ consumption amount < a2, b3 ≤ consumption count < b2 and c2 < consumption cycle ≤ c3, whose consumption interval is extended and consumption count has significantly decreased;
- Deep Sleep Members: Members with 0 ≤ consumption amount < a3, consumption count < b3 and c3 < consumption cycle ≤ 12, who have not made any consumption for an extended period and are nearly inactive;
- Severe Sleep Members: Members with 0 yuan consumption amount, 0 consumption count and consumption cycle > 12, who are even less active than Deep Sleep Members and require targeted reactivation strategies.

The specific numerical values of a1, a2, a3 (for consumption amount), b1, b2, b3 (for consumption count) 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50985条记录，记录了九洲大药房留下店的会员消费数据，用于会员分级管理。通过分析消费金额、次数和周期，将会员分为五个等级，适用于医药行业的精准营销和服务优化。