抖音平台购买酱茄子酱菜产品消费者分类数据

通过抖音后台数据统计分析酱茄子酱菜产品消费数据，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晒后修护液的数量等数据，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晒后修护液的数量之和，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 on the consumption data of eggplant pickles products via Douyin backend data, constructs historical order user portraits, formulates user labels, and identifies user consumption tiers to provide data support for consumer advertising and marketing strategies. 1. Collect data including the purchase quantity of after-sun repair lotion per user in each quarter, and perform data desensitization by only collecting user IDs. 2. Data processing: The total quarterly consumption volume is the sum of the after-sun repair lotion purchase quantities of all users; the user consumption share (%) = (consumption quantity / total consumption quantity) × 100%. 3. For user consumption capacity classification using the ABCDEF classification method: users with a consumption share of ≥3% are classified as "Category A"; those with a consumption share of ≥2% but <3% as "Category B"; those with ≥1% but <2% as "Category C"; those with ≥0.5% but <1% as "Category D"; those with ≥0.1% but <0.5% as "Category E"; and those with a consumption share of <0.1% as "Category F".

搜集汇总

背景与挑战

背景概述

该数据集记录了抖音平台上购买酱茄子酱菜产品的消费者分类数据，包含1591条记录，每月更新。通过ABCDEF分类法对用户进行分级，旨在为广告营销策略提供数据支持。