私域平台购买紧致面霜消费者分类数据

通过私域后台数据统计分析紧致面霜消费数据，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2024年1月、2月的各个用户购买紧致面霜的订单号、应收订单金额、商品名称、规格、用户名、时间、消费数量、等数据。2、数据加工：当季总消费数量为各个用户购买紧致面霜的数量之和，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”用户分级；消费占比≥2%不足3%的，给予“B类”用户分级；消费占比≥1%不足2%区间的，给予“C类”用户分级；消费占比≥0.5%不足1%区间的，给予“D类”用户分级；消费占比≥0.1%不足0.5%区间的，给予“E类”用户分级；消费占比＜0.1%的，给予“F类”用户分级。This dataset analyzes firming cream consumption data via statistics from the private domain backend. By establishing user portraits of historical order-placing customers and formulating user labels to pinpoint their consumption tiers, it provides data support for the establishment of product turnover warehouses in different regions and the development of consumer advertising and marketing strategies. 1. Data Collection: Collect data including order numbers, receivable order amounts, product names, specifications, usernames, transaction times and consumption quantities of each user who purchased firming cream in January and February 2024. 2. Data Processing: The total consumption quantity for the January-February 2024 period is the sum of the quantities of firming cream purchased by each user. The user consumption proportion (%) = (consumption quantity / total consumption quantity) × 100%. 3. User Consumption Capability Classification: Adopt the ABCDEF classification method to grade users: Class A for users with consumption proportion ≥ 3%; Class B for users with 2% ≤ consumption proportion < 3%; Class C for users with 1% ≤ consumption proportion < 2%; Class D for users with 0.5% ≤ consumption proportion < 1%; Class E for users with 0.1% ≤ consumption proportion < 0.5%; Class F for users with consumption proportion < 0.1%.

搜集汇总

数据集介绍

特点

该数据集包含747条私域平台购买紧致面霜的消费者数据，通过ABCDEF分类法对用户进行分级，用于支持产品周转仓设立和广告营销策略。