私域平台购买睡眠面膜消费者分类数据

通过私域后台数据统计分析睡眠面膜消费数据，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，可以为消费者广告营销策略提供数据支持。1、采集2024年1-6月的各个用户购买睡眠面膜的订单号、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睡眠面膜的数量之和，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 conducts statistical analysis of sleep mask consumption data using private domain backend data, constructs historical order user profiles, develops user tags to pinpoint user consumption levels, and provides data support for consumer advertising and marketing strategies. 1. Data Collection: Gather data including order numbers, receivable order amounts, product names, specifications, usernames, transaction times, purchase quantities and other relevant data for each user who purchased sleep masks between January and June 2024. 2. Data Processing: The total consumption volume for the statistical period (January-June 2024) is the sum of the sleep mask purchase quantities of all individual users. The user's consumption share (%) is calculated as (consumption quantity / total consumption volume) * 100%. 3. User Consumption Grading: Classify user consumption capabilities using the ABCDEF classification method, with specific grading rules as follows: users with a consumption share ≥3% are classified as "Category A"; users with 2% ≤ consumption share <3% are "Category B"; users with 1% ≤ consumption share <2% are "Category C"; users with 0.5% ≤ consumption share <1% are "Category D"; users with 0.1% ≤ consumption share <0.5% are "Category E"; and users with a consumption share <0.1% are "Category F".

搜集汇总

数据集介绍

特点

该数据集包含695条私域平台睡眠面膜消费者订单数据，涵盖订单号、金额、商品信息、用户分级等字段，通过消费占比进行ABCDEF用户分级，用于消费者画像和营销策略制定。数据格式为Excel，更新频次按需，适用于零售业广告营销场景。