空气炸锅用户消费能力分层数据

空气炸锅在日常生活经常被使用，统计分析空气炸锅的消费数据，通过对历史下单用户建立表格，对用户进行标签制定，定位用户消费级别，为企业在全国各地设立产品周转仓及针对各地区汽车维修店对空气炸锅的购买量和使用量，制定广告营销策略提供数据支持。1. 数据采集:采集空气炸锅在各个维修店消费等信息; 2. 用户购买空气炸锅数量占总消费空气炸锅数量的比例=用户购买空气炸锅数量/总消费空气炸锅数量*100%； 3. 用户消费占总消费的比例按从大到小进行排名；消费分类运用ABCDE分类法，对占比0.26%以上的，给予“A类消费”分层；占比0.21%到0.25%区间的，则给予“B类消费”分层；占比在0.16%到0.20%区间，则给予“C类消费”分层；占比在0.11%到0.15%区间，则给予“D类消费”分层；占比在0.06%到0.1%区间，则给予“E类消费”分层； 4. 数据应用: 空气炸锅的购买力结果可以作为空气炸锅消费等级评价依据，为监管部门向监管提供技术支撑。

Air fryers are commonly utilized in daily life. This dataset conducts statistical analysis on air fryer consumption data, develops tables for historical order customers, assigns labels to users to determine their consumption levels, and provides data support for enterprises to establish product inventory turnover warehouses across the country and formulate advertising and marketing strategies based on the purchase and usage volumes of air fryers at auto repair shops in various regions.
1. Data Collection: Collect information including air fryer consumption data at various auto repair shops.
2. Proportion Calculation: The proportion of a user's purchased air fryer quantity in the total consumed air fryer quantity is calculated as: (User's purchased air fryer quantity / Total consumed air fryer quantity) × 100%.
3. Ranking and Classification: Rank users in descending order based on their proportion of total consumption. The ABCDE classification method is applied for consumption categorization: users with a proportion exceeding 0.26% are categorized as Class A consumers; those with a proportion ranging from 0.21% to 0.25% are Class B consumers; those with a proportion ranging from 0.16% to 0.20% are Class C consumers; those with a proportion ranging from 0.11% to 0.15% are Class D consumers; those with a proportion ranging from 0.06% to 0.10% are Class E consumers.
4. Data Application: The purchasing power results can serve as the basis for evaluating the consumption levels of air fryers, providing technical support for regulatory authorities to implement supervision work.

搜集汇总

数据集介绍

特点

该数据集包含586条空气炸锅用户消费记录，通过ABCDE分类法对用户消费能力进行分层，主要用于企业营销策略和产品周转仓设立的决策支持。