私域平台购买舒缓面膜消费者分类数据

通过私域后台数据统计分析舒缓面膜消费数据，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2024年6-10月的各个用户购买舒缓面膜的订单号、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舒缓面膜的数量之和，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 is constructed by statistically analyzing consumption data of soothing masks via private domain backend data, establishing user portraits based on historical order records, formulating user tags, and positioning user consumption levels, so as to provide data support for the establishment of product turnover warehouses in different regions and the formulation of consumer advertising and marketing strategies. 1. Data Collection: Collect data including order numbers, receivable order amounts, product names, specifications, usernames, purchase times, purchase quantities and other relevant data for each user who purchased soothing masks from June to October 2024. 2. Data Processing: Calculate the total quarterly consumption quantity as the sum of the soothing mask purchase quantities of each user; the user consumption share (%) = (consumption quantity / total consumption quantity) * 100%. 3. User Consumption Capability Classification: Use the ABCDEF classification method to grade users: users with a consumption share of ≥3% are classified as "Class A"; those with a consumption share of ≥2% but <3% are classified as "Class B"; those with a consumption share of ≥1% but <2% are classified as "Class C"; those with a consumption share of ≥0.5% but <1% are classified as "Class D"; those with a consumption share of ≥0.1% but <0.5% are classified as "Class E"; and those with a consumption share of <0.1% are classified as "Class F".

搜集汇总

数据集介绍

特点

该数据集包含1068条记录，记录了2024年6-10月期间用户在私域平台购买舒缓面膜的订单信息，通过消费占比对用户进行分级（A-F类），旨在为产品周转仓设立和广告营销策略提供数据支持。