浙江省杭州市九洲大药房新华路二店活跃度分级数据

通过分析九洲大药房新华路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新华路二店的会员、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 tier classification by analyzing the consumption amount, purchase frequency, and consumption cycle of members from the No. 2 Xinhua Road Store of Jiuzhou Pharmacy. It can not only be used for store member classification management, personalized precision marketing, and formulation of service optimization strategies, but also serve enterprises or institutions related to the pharmaceutical industry with demand for analyzing consumer behavior patterns and consumption capacity, 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 was collected on members, consumption time, consumption amount and other relevant data from the No. 2 Xinhua Road Store of Jiuzhou Pharmacy in Hangzhou, Zhejiang Province.
2. Data Processing
Based on the collected data, this study analyzes the consumption amount (total expenditure of members within the statistical cycle), purchase frequency (statistics of members' purchase frequency), and consumption cycle (analysis of the time interval between member consumptions to judge their activity level) of the store's members over a one-year statistical cycle, and divides members into five tiers based on the above parameters:
- Core Members: with consumption amount ≥ a1, purchase frequency ≥ b1, and consumption cycle ≤ c1, who make the greatest contribution to the store;
- Ordinary Members: with a2 ≤ consumption amount < a1, b2 ≤ purchase frequency < b1, c1 < consumption cycle ≤ c2, who maintain consumption at a certain frequency and amount, forming a stable customer group;
- Light Sleep Members: with a3 ≤ consumption amount < a2, b3 ≤ purchase frequency < b2, c2 < consumption cycle ≤ c3, who have a decline in purchase frequency but still make occasional purchases;
- Moderate Sleep Members: with a3 ≤ consumption amount < a2, b3 ≤ purchase frequency < b2, c2 < consumption cycle ≤ c3, who have extended consumption intervals and significantly reduced purchase frequency;
- Deep Sleep Members: with 0 ≤ consumption amount < a3, purchase frequency < b3, c3 < consumption cycle ≤ 12, who have not made any purchases for a long time and are almost inactive;
- Severe Sleep Members: with consumption amount of 0 yuan, purchase frequency of 0 times, and consumption cycle > 12, who are less active than Deep Sleep Members and require special reactivation strategies.
The specific values of a1, a2, a3 (consumption amount thresholds), b1, b2, b3 (purchase frequency thresholds), and c1, c2, c3 (consumption cycle thresholds) 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新华路二店的会员消费数据，用于会员分级管理，适用于精准营销和服务优化等场景。