抖音平台购买定型摩丝消费者分类数据
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通过抖音后台数据统计分析定型摩丝消费数据,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定型摩丝的数量等数据,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定型摩丝的数量之和,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≥0.5%不足2%区间的,给予“C类”用户分级;消费占比≥0.1%不足0.5%区间的,给予“D类”用户分级;消费占比不足0.1%区间的,给予“E类”用户分级。
This dataset is developed through statistical analysis of hair styling mousse consumption data from the Douyin backend, based on the construction of historical order-based user portraits, user tag formulation, and user consumption level positioning, to provide data support for consumer advertising and marketing strategies. 1. Data collection: Collect data including the purchase quantity of hair styling mousse for each user in each quarter, and perform user desensitization processing, only collecting user IDs. 2. Data processing: The total quarterly consumption volume is the sum of the hair styling mousse purchase quantities of all users; the user consumption share (%) = (consumption quantity / total consumption volume) * 100%. 3. User consumption capability classification: Adopt the ABCDEF classification method to grade users: users with a consumption share ≥ 3% are classified as "Class A"; users with a consumption share ≥ 2% but less than 3% are classified as "Class B"; users with a consumption share ≥ 0.5% but less than 2% are classified as "Class C"; users with a consumption share ≥ 0.1% but less than 0.5% are classified as "Class D"; users with a consumption share less than 0.1% are classified as "Class E".




