淘宝用户购买深层清洁面膜消费能力分层数据

统计分析深层清洁面膜消费数据，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、采集各季度的各个用户购买深层清洁面膜的数量、产品规格等数据。2、数据加工：当季总消费数量为当季度的各个用户购买深层清洁面膜的数量之和，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分级法，对用户消费占比≥3%的，给予A类用户分级；用户消费占比≥2%不足3%的，给予B类用户分级；用户消费占比≥1%不足2%区间的，给予C类用户分级；用户消费占比≥0.5%不足1%区间的，给予D类用户分级；用户消费占比≥0.1%不足0.5%区间的，给予E类用户分级；用户消费占比＜0.1%的，给予F类用户分级。This dataset conducts statistical analysis on consumer data of deep cleansing facial masks. By establishing user profiles based on historical order records, it formulates user tags and positions 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 purchase quantity and product specifications of deep cleansing facial masks for each user in each quarter. 2. Data Processing: The total consumption quantity of the current quarter is the sum of the quantities of deep cleansing facial masks purchased by all users in that quarter. The user's consumption share (%) = (consumption quantity / total consumption quantity) * 100%. 3. User Consumption Capacity Classification: Adopt the ABCDEF classification method. Users with a consumption share ≥ 3% are classified as Type A; those with a consumption share ≥ 2% but < 3% are classified as Type B; those with a consumption share ≥ 1% but < 2% are classified as Type C; those with a consumption share ≥ 0.5% but < 1% are classified as Type D; those with a consumption share ≥ 0.1% but < 0.5% are classified as Type E; and those with a consumption share < 0.1% are classified as Type F.

搜集汇总

数据集介绍

特点

该数据集包含4249条淘宝用户购买深层清洁面膜的消费记录，每季度更新一次。数据通过ABCDEF分级法对用户消费能力进行分级，支持统计分析用户消费行为，为产品营销和仓储策略提供数据支持。