山东地区前置过滤器类消费者分析数据
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企业在面对客户定制某些运营、营销策略时，希望能够针对不同的客户推行不同的策略，实现精准化运营。精准化运营的前提是客户关系管理，而客户关系管理的核心是客户价值管理。通过对山东地区客户价值管理，满足不同价值客户的个性化需求。并为同行业企业提供参考。 1、数据处理：对采集到的数据进行降噪、清洗、脱敏、聚集、分析。 2、数据加工：运用RFM模型 提取出客户最近一次活动R（天数）、活动频率F（次数）、消费金额M（总额），将用户按照最近一次活动（R）进行分类，最近一次活动时间间隔最短的用户排在最上面。按照从1-5评分，前20%的客户获得5分，接下来的20%用户获得4分,再下来20%的客户为3分，再下来20% 的客户为2分，最后20% 的客户为1分。 根据客户活动频率（F）从高到底依次对用户进行分类，前20%的客户在用户活动频率的分数为5，以此类推。 消费金额（M），前20%的客户在消费金额的分数为5，以此类推。消费金额最少的20%客户则分数为1。 RFM得分=（R）得分*0.3+（F）得分*0.3+（M）得分*0.4 评分大于等于4分的为A级客户，大于等于3小于4的为B级客户，大于等于2小于3的为C 级客户，低于2的为D 级客户。 3、通过对客户的分级管理，为不同价值类型的客户个性化服务提供数据支持
When enterprises develop customized operational or marketing strategies for their customers, they aim to implement differentiated strategies for distinct customer groups to achieve precise operations. The prerequisite for precise operations is customer relationship management (CRM), whose core is customer value management. This work carries out customer value management in the Shandong region to meet the personalized demands of customers with different value tiers, and provides a reference for peer enterprises. 1. Data Processing: Conduct noise reduction, cleaning, anonymization, aggregation and analysis on the collected raw data. 2. Data Feature Engineering and Scoring: The RFM model is utilized to extract three core metrics for each customer: Recency (R, days since the last campaign), Frequency (F, total number of participated campaigns), and Monetary value (M, total consumption amount). Firstly, users are classified based on Recency (R): users with the shortest interval since their last campaign are ranked top. A 1-5 scoring rule is adopted: the top 20% of users are awarded 5 points, the next 20% get 4 points, the following 20% receive 3 points, the subsequent 20% obtain 2 points, and the last 20% get 1 point. Secondly, users are categorized by their campaign frequency (F) in descending order, with the top 20% scoring 5 points for frequency, and so on. For the Monetary value (M) metric, the top 20% of customers get 5 points, while the bottom 20% with the lowest consumption amount receive 1 point. The overall RFM score is calculated as: RFM Score = (R score) × 0.3 + (F score) × 0.3 + (M score) × 0.4. Customers are then tiered into four groups: Grade A customers with scores ≥ 4, Grade B customers with 3 ≤ score < 4, Grade C customers with 2 ≤ score < 3, and Grade D customers with score < 2. 3. Tiered Customer Management: Through hierarchical customer management, data support is provided for delivering personalized services to customers of different value tiers.
