怡人玩具京东店铺客户金属玩具偏好数据

通过对宁波怡人玩具有限公司京东店铺客户，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。Data was collected from customers of the JD.com store of Ningbo Yiren Toys Co., Ltd. across multiple dimensions including browsing volume, collection, purchase behavior, and average purchase price by toy category, as well as customer purchase time, age, and city of residence. Based on the algorithm rules for metal toy preference data, the metal toy preference dataset was derived. This dataset helps relevant companies conduct precise marketing for metal toys, reduce sales expenses, and expand their customer base. The metal toy preference index is defined using the following algorithm: Metal Toy Preference Index = [(Proportion of metal toy browsing volume + Proportion of metal toy collection volume + 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

搜集汇总

背景与挑战

背景概述

该数据集聚焦于怡人玩具京东店铺的客户偏好，特别针对金属玩具类别，可能包含客户行为或反馈数据，用于分析市场趋势。由于详情页面信息有限，建议参考其他来源获取更具体的字段和统计信息。