遇见数据集

用户购买温度检测仪消费能力分层数据

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浙江省数据知识产权登记平台2024-12-16 更新2024-12-17 收录
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统计分析温度检测仪消费数据,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温度检测仪的数量、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温度检测仪的数量之和,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 temperature detectors. It establishes user portraits based on historical order records, formulates user tags, and identifies user consumption tiers, providing 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 the purchase quantity and product specifications of temperature detectors for each user in each quarter. 2. Data Processing: The total quarterly consumption quantity is the sum of the purchase quantities of temperature detectors by all users in that quarter; the user's consumption share (%) = (individual consumption quantity / total quarterly consumption quantity) * 100%. 3. User Consumption Capacity Grading: The ABCDEF grading method is applied to classify users: users with a consumption share of ≥3% are categorized as Type A; users with a consumption share of ≥2% but less than 3% are categorized as Type B; users with a consumption share of ≥1% but less than 2% are categorized as Type C; users with a consumption share of ≥0.5% but less than 1% are categorized as Type D; users with a consumption share of ≥0.1% but less than 0.5% are categorized as Type E; and users with a consumption share of less than 0.1% are categorized as Type F.

创建时间:
2024-11-09
搜集汇总
数据集介绍
用户购买温度检测仪消费能力分层数据 数据集图片
特点
该数据集名为'用户购买温度检测仪消费能力分层数据',包含3128条记录,每季度更新一次。数据格式为xlsx,来源于企业自行产生的数据。数据集通过用户购买温度检测仪的数量和消费占比,采用ABCDEF分级法对用户进行消费能力分级,主要用于统计分析消费数据,支持营销策略和产品周转仓的设立。
以上内容由遇见数据集搜集并总结生成
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