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宠物驱虫药在河南省的用户消费分层数据

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浙江省数据知识产权登记平台2024-12-17 更新2024-12-18 收录
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资源简介:
统计分析宠物驱虫药消费数据,通过对历史下单用户建立表格,对用户进行标签制定,定位用户消费级别,为同类型企业在全国各地设立产品周转仓及针对各地区消费者对规格的喜好有针对性的制定广告营销策略提供数据支持。1、数据采集:采集宠物驱虫药在各个省的消费数据并统计。2、用户消费比例=用户消费数量/总消费数量*100%,用户消费占总消费的比例按从大到小进行排名;3、消费分类运用ABCDEF分类法,对占比3%及以上的,给予“A类用户”分层;占比在2%-3%(不含3%)区间的,给予“B类用户”分层;占比在1%-2%(不含2%)区间的,给予“C类用户”分层;占比在0.5%-1%(不含1%)区间的,给予“D类用户”分层;占比在0.1%-0.5%(不含0.5%)区间的,给予“E类用户”分层;占比在0.1%(不含0.1%)以下的,给予“F类用户”分层。

This dataset is intended for statistical analysis of pet deworming medication consumption data. Specifically, we will construct a data table for historical purchasing users, formulate user tags, and identify user consumption tiers, so as to provide data-driven support for similar enterprises to establish national product distribution warehouses and formulate targeted advertising and marketing strategies based on regional consumers' preferences for product specifications. 1. Data Collection: Collect and count the consumption data of pet deworming medications across all provinces. 2. User Consumption Proportion Calculation: The user consumption proportion is calculated as (user consumption quantity / total consumption quantity) * 100%, and users are ranked in descending order based on their consumption proportions in the total consumption. 3. Tiered Classification via ABCDEF Method: The ABCDEF classification method is adopted for consumption classification. Users with a consumption proportion of 3% and above are classified as "Class A users"; those with a proportion ranging from 2% to 3% (excluding 3%) are classified as "Class B users"; those with a proportion ranging from 1% to 2% (excluding 2%) are classified as "Class C users"; those with a proportion ranging from 0.5% to 1% (excluding 1%) are classified as "Class D users"; those with a proportion ranging from 0.1% to 0.5% (excluding 0.5%) are classified as "Class E users"; and those with a proportion below 0.1% (excluding 0.1%) are classified as "Class F users".
提供机构:
桐庐网营电子商务有限公司
创建时间:
2024-11-13
搜集汇总
数据集介绍
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特点
该数据集提供了河南省宠物驱虫药用户的消费分层数据,包含779条记录,每月更新。数据通过ABCDEF分类法对用户进行消费分层,支持统计分析、用户消费级别定位及营销策略制定。
以上内容由遇见数据集搜集并总结生成
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