购买钥匙扣消费能力分层数据

统计分析钥匙扣消费数据，通过对历史下单用户画像建立，对用户进行标签制定，定位用户消费级别，可以为不同区域的产品周转仓的设立以及消费者广告营销策略提供数据支持。1、采集各个月的各个用户购买钥匙扣的数量、用户编号等数据。2、数据加工：当月的总消费数量为当月各个用户购买钥匙扣的数量之和，用户消费占比(%)=消费数量/总消费数量*100%。3、用户消费能力运用ABCDEF分类法，对消费占比≥3%的，给予A类分级；消费占比≥2%不足3%的，给予B类分级；消费占比≥1%不足2%区间的，给予C类分级；消费占比≥0.5%不足1%区间的，给予D类分级；消费占比≥0.1%不足0.5%区间的，给予E类分级；消费占比＜0.1%的，给予F类分级。

This dataset conducts statistical analysis on keychain consumption data. It builds user portraits based on historical order records, develops user tags, and identifies user consumption tiers, providing data support for the establishment of regional product turnover warehouses and the formulation of consumer advertising and marketing strategies. 1. Data Collection: Collect data including the quantity of keychains purchased by each user and user ID for each month. 2. Data Processing: The total monthly consumption quantity is the sum of the keychain purchase quantities of all users in the current month. The user consumption share (%) is calculated as (consumption quantity / total monthly consumption quantity) * 100%. 3. User Consumption Capability Classification: Adopt the ABCDEF classification method to grade user consumption capabilities: Category A for users with consumption share ≥ 3%; Category B for 2% ≤ consumption share < 3%; Category C for 1% ≤ consumption share < 2%; Category D for 0.5% ≤ consumption share < 1%; Category E for 0.1% ≤ consumption share < 0.5%; and Category F for consumption share < 0.1%.