上海市电商平台客户木质玩具偏好数据

通过对在京东、天猫、拼多多、抖音等电商平台的上海市客户消费数据进行分析，按玩具类型从浏览、收藏、购买、购买平均价格等多方面进行数据采集，并且采集客户购买时间、年龄、所在城市等数据，根据木质玩具偏好数据算法规则，得到木质玩具偏好数据。帮助相关公司木质玩具实现精准营销、降低销售费用、扩大客源。通过以下算法规则对在京东、天猫、拼多多、抖音等电商平台的浙江省客户进行木质玩具偏好指数定义：木质玩具偏好指数=(木质玩具浏览量占比+木质玩具收藏量占比+木质玩具购买量占比)*(50+木质玩具平均价格)*(100-年龄)*(最近消费时间-首次消费时间，按月份计)*性别系数(男性为1,女性为1.2)*城市系数(一线城市为1.2,二线城市为1.1,三线城市及以下为1)/10000。This dataset is constructed by analyzing consumer data of Shanghai-based customers across e-commerce platforms including JD.com, Tmall, Pinduoduo and Douyin. Data is collected from multiple dimensions by toy type: browsing behavior, collection behavior, purchase volume and average purchase price, alongside customer-related attributes including purchase time, age and city of residence. Wooden toy preference data is derived based on the preset algorithmic rules for wooden toy preference analysis, which enables relevant enterprises to carry out precise marketing for wooden toys, reduce sales expenses and expand their customer base. The wooden toy preference index for Zhejiang-based customers on the aforementioned e-commerce platforms is defined by the following algorithmic rules: Wooden Toy Preference Index = [(Proportion of wooden toy browsing volume + Proportion of wooden toy collection volume + Proportion of wooden toy purchase volume) × (50 + Average wooden toy purchase price) × (100 - Customer age) × (Time since first consumption, calculated in months based on the latest consumption date) × Gender coefficient (1 for male, 1.2 for female) × City coefficient (1.2 for first-tier cities, 1.1 for second-tier cities, 1 for third-tier and below cities)] / 10000

搜集汇总

数据集介绍

特点

该数据集包含3033条上海市电商平台客户的木质玩具偏好数据，每月更新，涵盖客户基本信息、各类玩具的浏览、收藏、购买行为及偏好指数，适用于精准营销和销售优化。