抖音平台购买唇彩消费者分类数据

通过抖音后台数据统计分析唇彩消费数据，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，为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唇彩的数量等数据，并对用户进行脱敏处理，只采集用户编号。2、数据加工：当季总消费数量为各个用户购买唇彩的数量之和，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 lip gloss consumption data via Douyin backend data, builds historical user purchase portraits, formulates user tags, and identifies user consumption tiers to provide data support for consumer advertising and marketing strategies. 1. Data Collection: Collect data such as the quantity of lip gloss purchased by each user in each quarter, and perform desensitization processing on users by only collecting user IDs. 2. Data Processing: The total quarterly consumption volume is the sum of the lip gloss purchase quantities of all users. The user's consumption share (%) = (consumption quantity / total consumption quantity) * 100%. 3. User Consumption Capability Classification: Adopt the ABCDEF classification method to grade users: users with a consumption share ≥3% are classified as "Category A"; those with 2% ≤ consumption share < 3% are classified as "Category B"; those with 1% ≤ consumption share < 2% are classified as "Category C"; those with 0.5% ≤ consumption share < 1% are classified as "Category D"; those with 0.1% ≤ consumption share < 0.5% are classified as "Category E"; and those with a consumption share < 0.1% are classified as "Category F".

搜集汇总

数据集介绍

特点

该数据集包含抖音平台唇彩消费者的分类数据，共3868条记录，每季度更新。数据通过用户消费占比进行分级（A-F类），用于广告营销策略支持。