抖音平台购买隔离消费者分类数据

通过抖音后台数据统计分析隔离消费数据，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隔离的数量等数据，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隔离的数量之和，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 performs statistical analysis on quarantine-related consumption data using Douyin's backend data, establishes historical order user profiles, formulates user tags, identifies user consumption tiers, and provides data support for advertising and marketing strategies targeting consumers. 1. Data Collection: Collect data including the quantity of quarantine-related purchases per user in each quarter, and conduct data desensitization processing for users, only collecting user IDs. 2. Data Processing: The total quarterly consumption quantity is the sum of the quarantine-related purchase quantities of each user; the user consumption share (%) = (consumption quantity / total consumption quantity) × 100%. 3. User Consumption Capability Classification: Adopt the ABCDEF classification method to grade users: grade "A" for users with consumption share ≥3%; grade "B" for users with consumption share ≥2% and <3%; grade "C" for users with consumption share ≥1% and <2%; grade "D" for users with consumption share ≥0.5% and <1%; grade "E" for users with consumption share ≥0.1% and <0.5%; grade "F" for users with consumption share <0.1%.

搜集汇总

数据集介绍

特点

该数据集是抖音平台上购买隔离产品的消费者分类数据，包含4012条记录，每季度更新一次，用于用户消费行为分析和广告营销策略支持。