浙江省杭州市九洲大药房庆春店活跃度分级数据

通过分析九洲大药房庆春店的会员消费金额、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庆春店的会员、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。By analyzing the member consumption amount, consumption frequency, and consumption cycle of the Qingchun Store of Jiuzhou Pharmacy, member tiering can be determined. This approach can not only be applied to store member classification management, personalized precision marketing, and service optimization strategy formulation, but also be utilized by enterprises or institutions related to the pharmaceutical industry that have demands for consumer behavior pattern and consumption capacity analysis, such as peer pharmaceutical e-commerce and retail enterprises, health management and consulting service institutions, pharmaceutical research and development and manufacturing enterprises, financial institutions, insurance companies, etc. 1. Data Source Data including member information, consumption time, and consumption amount were collected from the Qingchun Store of Jiuzhou Pharmacy in Hangzhou, Zhejiang Province. 2. Data Processing Based on the collected data, the consumption amount (total expenditure of members within the one-year statistical cycle), consumption frequency (member purchase frequency), and consumption cycle (time interval between member consumption to judge their activeness) of the store's members within the one-year statistical cycle are analyzed. Five member tiers are determined according to the above parameters: - Core Members: Consumption amount ≥ a1, consumption frequency ≥ b1, consumption cycle ≤ c1. They make the greatest contribution to the store. - Regular Members: a2 ≤ consumption amount < a1, b2 ≤ consumption frequency < b1, c1 < consumption cycle ≤ c2. They maintain a certain consumption frequency and amount, constituting a stable customer group. - Mildly Inactive Members: a3 ≤ consumption amount < a2, b3 ≤ consumption frequency < b2, c2 < consumption cycle ≤ c3. Their consumption frequency has declined, but they still make occasional purchases. - Moderately Inactive Members: a3 ≤ consumption amount < a2, b3 ≤ consumption frequency < b2, c2 < consumption cycle ≤ c3. Their consumption interval is prolonged, and the number of consumption times has significantly decreased. - Deeply Inactive Members: 0 ≤ consumption amount < a3, consumption frequency < b3, c3 < consumption cycle ≤ 12. They have not made any consumption for a long time and are almost inactive. - Severely Inactive Members: Consumption amount is 0 yuan, consumption frequency is 0 times, consumption cycle > 12. They are less active than deeply inactive members and require special re-activation strategies. The specific values of consumption amount thresholds a1, a2, a3, consumption frequency thresholds b1, b2, b3, and consumption cycle thresholds c1, c2, c3 are trade secrets of the applicant’s enterprise.

搜集汇总

数据集介绍

特点

该数据集包含九洲大药房庆春店的会员消费数据，用于会员分级管理，适用于医药行业的精准营销和服务优化。