轻颜素框眼镜客户分层消费分析数据
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为分析太阳花款儿童眼镜在客户群体中的销售情况，需要运用大数据平台收集统计相关产品的销售数据，运用算法进行加工处理后，得到客户的消费系数。对计算所得的消费系数进行分级评价，可以对相应的用户进行标签制定，定位用户消费级别，为企业在生产、装配、零部件采购、库房规划以及针对各地区消费者对各款眼镜的需求量、眼镜度数的选择等相关决策提供数据支撑。本项数据分析在眼镜行业内有巨大的应用价值和推广价值，对行业的市场发展有重要的意义。收集太阳花款儿童眼镜的相关销售数据，形成存证数据包。2.算法公式：客户的消费系数P=消费金额K*消费黏性指数N/月度消费总额M*1000。 其中客户消费黏性N由系统统计该客户在公司名下线上店铺累计消费次数得出。将客户的消费系数P按从大到小进行排名。3.根据客户的消费系数P的值对客户的消费数据进行分层评级，当P≥5时，评为“A级消费”；当1≤P＜5时，评为“B级消费”；当0.3≤P＜1时，评为“C级消费”；当P＜0.3时，评为“D级消费”。
To analyze the sales performance of sunflower-style children's eyewear among customer groups, relevant product sales data shall be collected and tallied via big data platforms, and processed with algorithms to derive the customer consumption coefficient. By conducting graded evaluation on the calculated consumption coefficient, corresponding user tags can be assigned and their consumption tiers can be identified, providing data support for enterprises' decision-making in production, assembly, parts procurement, warehouse planning, regional consumer demand for each eyewear style, lens prescription power selection and other related aspects. This data analysis has substantial application and promotion value in the eyewear industry, and is of great significance to the market development of the industry. Collect relevant sales data of sunflower-style children's eyewear to form a proof-of-storage data package. 2. Algorithm formula: The customer consumption coefficient P = (Consumption Amount K × Consumption Stickiness Index N) / Monthly Total Consumption M × 1000. Here, the customer consumption stickiness N is calculated based on the cumulative number of consumption transactions of the customer on the company's official online stores, as counted by the system. Rank all customer consumption coefficients P in descending order. 3. Hierarchical rating shall be performed on customer consumption data according to the value of P: - "Level A Consumption" when P ≥ 5; - "Level B Consumption" when 1 ≤ P < 5; - "Level C Consumption" when 0.3 ≤ P < 1; - "Level D Consumption" when P < 0.3.
