盐城市地区口腔门诊用户分级分析数据
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为更好地了解盐城市区域用户在口腔科健康服务中的价值分层与行为特征，我单位对相关医疗服务数据进行采集并开展医疗RFM分析。本数据集旨在通过R（消费间隔天数）、F（消费频率）、M（消费总金额）三个核心维度，剖析不同用户群体对医疗服务的依赖程度、消费能力及近期活跃度，评估用户在医疗服务选择中的稳定性与潜在价值，以及确定针对性的服务优化与客户维系方案。通过深入解读医疗RFM指标所反映的用户行为规律，医疗服务提供者能够精准识别高价值用户、潜力用户及需重点挽留用户，从而优化资源配置，为不同层级用户提供适配的服务内容与沟通策略，在提升用户满意度的同时，实现医疗资源的高效利用。同时，这些基于RFM分析的用户分层数据，也能为政府或行业组织制定医疗服务规划、医保政策调整及区域医疗资源布局等提供扎实的数据支撑，推动医疗服务体系更贴合民众实际需求。本次数据采集盐城市地区针对2017年1月1日至2024年12月19日期间的口腔医疗服务用户行为数据，旨在通过用户消费行为分析实现RFM用户价值分层。一、消费间隔天数=分析时间-最近一次消费时间，R（消费间隔天数）评分：5分为消费间隔天数≤30天（近1个月内消费）、4分为消费间隔天数31-90天（1-3个月内消费）、3分为消费间隔天数91-180天（3-6个月内消费）、2分为消费间隔天数181-365天（6个月-1年消费）、1分为消费间隔天数>365 天（1年以上未消费）；二、F（消费频率）评分：5分为消费次数≥10次、4分为消费次数7-9次、3分为消费次数4-6次、2分为消费次数2-3次、1分为消费次数1次；三、M（消费总金额）评分：5分为消费总金额>3000元、4分为消费总金额1001-3000元、3分为消费总金额501-1000元、2分为消费总金额101-500元、1分为消费总金额≤100元；四、RFM评分= R评分×40% + F 评分×30% + M评分×30%；五、用户分级规则（基于RFM评分）：A级（核心价值用户）为RFM评分4.1-5分，特征：最近消费、高频、高额消费，需重点维护、B级（高潜力用户）为RFM评分3.1-4分，特征：消费较近、中高频、中高消费、C级（一般价值用户）为RFM评分2.1-3分，特征：消费间隔中等、中低频、中等消费、D级（低价值 / 流失用户）为RFM评分1-2分，特征：久未消费、低频、低消费，需激活或放弃。
To better understand the value stratification and behavioral characteristics of users in stomatological health services in Yancheng City, our organization collected relevant medical service data and conducted medical RFM analysis. This dataset aims to analyze the dependence on medical services, consumption capacity and recent activity of different user groups through three core dimensions: R (Days Since Last Consumption), F (Consumption Frequency) and M (Total Consumption Amount), assess the stability and potential value of users in their choice of medical services, and formulate targeted service optimization and customer retention plans. By deeply interpreting the user behavior patterns reflected by medical RFM indicators, medical service providers can accurately identify high-value users, potential users and users requiring key retention, thereby optimizing resource allocation, providing tailored service contents and communication strategies for users at different levels, improving user satisfaction while achieving efficient utilization of medical resources. Meanwhile, these user stratification data based on RFM analysis can also provide solid data support for governments or industry organizations to formulate medical service plans, adjust medical insurance policies and layout regional medical resources, so as to promote the medical service system to better fit the actual needs of the public. This data collection targets user behavior data of stomatological medical services in Yancheng City from January 1, 2017 to December 19, 2024, aiming to achieve RFM-based user value stratification through the analysis of user consumption behaviors. 1. Days Since Last Consumption = Analysis Time - Time of Last Consumption. R (Days Since Last Consumption) Score: 5 points for days ≤30 (consumed within the last month); 4 points for 31-90 days (consumed within 1-3 months); 3 points for 91-180 days (consumed within 3-6 months); 2 points for 181-365 days (consumed within 6 months to 1 year); 1 point for >365 days (no consumption for over 1 year). 2. F (Consumption Frequency) Score: 5 points for ≥10 consumption times; 4 points for 7-9 times; 3 points for 4-6 times; 2 points for 2-3 times; 1 point for 1 time. 3. M (Total Consumption Amount) Score: 5 points for >¥3000; 4 points for ¥1001-¥3000; 3 points for ¥501-¥1000; 2 points for ¥101-¥500; 1 point for ≤¥100. 4. RFM Score = R Score × 40% + F Score × 30% + M Score × 30%. 5. User Stratification Rules (based on RFM Score): - Level A (Core Value Users): RFM score 4.1-5, characterized by recent consumption, high frequency and high-value consumption, requiring key maintenance; - Level B (High Potential Users): RFM score 3.1-4, characterized by relatively recent consumption, medium-high frequency and medium-high-value consumption; - Level C (General Value Users): RFM score 2.1-3, characterized by medium consumption interval, medium-low frequency and medium-value consumption; - Level D (Low Value / Churned Users): RFM score 1-2, characterized by no consumption for a long time, low frequency and low-value consumption, requiring activation or abandonment.
