购买汽车挂饰用户消费能力分层数据

统计分析汽车挂饰消费数据，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汽车挂饰的数量、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汽车挂饰的数量之和，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 conducts statistical analysis on consumption data of automotive hanging ornaments. By establishing portraits of historical order-placing users and formulating user tags to identify their consumption tiers, it can provide data support for the establishment of regional product inventory turnover warehouses and the formulation of consumer advertising and marketing strategies.
1. Data Collection: Collect data including the quantity of automotive hanging ornaments purchased by each user and user IDs for each month.
2. Data Processing: The total monthly consumption quantity is the sum of the quantities of automotive hanging ornaments purchased by all users in that month; the user's consumption share (%) = (consumption quantity / total monthly consumption quantity) * 100%.
3. User Consumption Capability Classification: Classify users based on their consumption capabilities using the ABCDEF classification method: users with a consumption share ≥ 3% are classified as Tier A; those with 2% ≤ consumption share < 3% are Tier B; 1% ≤ consumption share < 2% are Tier C; 0.5% ≤ consumption share < 1% are Tier D; 0.1% ≤ consumption share < 0.5% are Tier E; and users with a consumption share < 0.1% are classified as Tier F.

搜集汇总

数据集介绍

特点

该数据集名为“购买汽车挂饰用户消费能力分层数据”，包含1793条记录，每月更新。数据来源于自行产生，主要用于统计分析汽车挂饰的消费数据，通过用户消费占比进行ABCDEF分级，帮助制定产品周转仓和广告营销策略。