浙江地区呼吸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。通过对浙江地区客户价值管理，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 operation and marketing strategies for customers, they intend to implement differentiated strategies for different customers to achieve precision operation. The premise of precision operation is customer relationship management (CRM), and the core of CRM is customer value management. This dataset is based on customer value management practices in Zhejiang Province, aiming to meet the personalized demands of customers with different value levels and provide references for peer enterprises. 1. Data Preprocessing: Perform denoising, cleaning, de-identification, aggregation and analysis on the collected raw data. 2. Feature Engineering and Scoring: Adopt the RFM model to extract three core indicators: the number of days since the last customer activity (R), customer activity frequency (F, count of activities), and total consumption amount (M). The scoring process is conducted as follows: - For indicator R: Sort users in ascending order of the time interval since their last activity (users with shorter intervals rank higher). Assign scores from 1 to 5 based on percentiles: the top 20% of users receive 5 points, the next 20% get 4 points, the subsequent 20% get 3 points, the following 20% get 2 points, and the last 20% get 1 point. - For indicator F: Sort users in descending order of their activity frequency. Assign scores from 1 to 5 following the same percentile rule: the top 20% get 5 points, and so on until the last 20% get 1 point. - For indicator M: Sort users in descending order of their total consumption amount. Assign scores from 1 to 5 using the same percentile rule: the top 20% get 5 points, and the last 20% get 1 point. The final RFM score is calculated with the formula: RFM Score = 0.3 * R_score + 0.3 * F_score + 0.4 * M_score. Customers are classified into four tiers according to their RFM scores: - Tier A: RFM Score ≥ 4 - Tier B: 3 ≤ RFM Score < 4 - Tier C: 2 ≤ RFM Score < 3 - Tier D: RFM Score < 2 3. Tiered Customer Management: Provide data support for personalized services tailored to customers of different value tiers through the above classification and management work.
