上海市电商平台客户金属玩具偏好数据

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，根据金属玩具偏好数据算法规则，得到金属玩具偏好数据。帮助相关公司金属玩具实现精准营销、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金属玩具偏好指数定义：金属玩具偏好指数=(金属玩具浏览量占比+金属玩具收藏量占比+金属玩具购买量占比)*(50+金属玩具平均价格)*(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 developed by analyzing consumer behavior data of customers located in Shanghai across mainstream e-commerce platforms including JD.com, Tmall, Pinduoduo, and Douyin. Multiple metrics are collected, covering browsing volume, collection count, purchase volume and average purchase price of metal toys categorized by toy types, as well as customer-related information such as purchase timing, age and city of residence. Based on the algorithmic rules for metal toy preference data, the metal toy preference datasets are generated, which can assist relevant enterprises in carrying out precision marketing for metal toys, lowering marketing expenses and expanding their customer sources. For metal toy preference index calculation targeting customers in Zhejiang Province on the aforementioned e-commerce platforms, the formula is defined as: Metal Toy Preference Index = (Proportion of metal toy browsing volume + Proportion of metal toy collection count + Proportion of metal toy purchase volume) * (50 + Average price of metal toys) * (100 - Age) * (Time since first consumption, calculated in months) * 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) / 10000.