购买车载香水用户消费能力分层数据
收藏资源简介:
统计分析车载香水消费数据,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车载香水的数量、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车载香水的数量之和,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 performs statistical analysis on car perfume consumption data. It constructs user portraits based on historical order records, develops targeted user tags to identify user consumption tiers, and provides 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 car perfumes purchased by each user per month and user identification numbers. 2. Data Processing: The total monthly consumption volume is calculated as the sum of the car perfume purchase quantities of all users in the corresponding month; the user consumption share (%) is computed as (consumption volume / total monthly consumption volume) × 100%. 3. User Consumption Capacity Classification: Adopt the ABCDEF classification method to grade users: Class A for users with a consumption share ≥ 3%; Class B for users with a consumption share ≥ 2% but < 3%; Class C for users with a consumption share ≥ 1% but < 2%; Class D for users with a consumption share ≥ 0.5% but < 1%; Class E for users with a consumption share ≥ 0.1% but < 0.5%; Class F for users with a consumption share < 0.1%.




