京东平台不同型号胸牌商品营销效果数据

通过计算分析京东平台不同型号胸牌商品的本月产投比ROI、本月加购率、本月支付转化率、本月进店成本等数据，有助于本公司及同行业内其他生产、销售胸牌商品的企业，前瞻性地了胸牌商品的消费前景，了解消费者的需求，为胸牌商品后续制定推广营销策略提供参考，从而提升市场竞争力。1.数据收集和预处理：（1）数据收集：收集公司在京东平台上胸牌商品的成本和销售统计信息，包括商品类目、商品名称、销售渠道/平台、商品型号、统计年月、本月总成本（商品生产和宣传的投入）、本月销售总额、本月进店人数、本月加购人数（将商品加入购物车的用户数）、本月付款笔数。（2）数据预处理：对收集的原始数据进行清洗。 2.确定非固定常数风险系数：根据胸牌商品的历史销售数据、竞争态势、季节性波动等因素，通过大数据分析方法获得该商品的非固定常数风险系数，用以反映市场不确定性对投资回报的影响，需定期调整以适应市场变化。 3.本月的商品营销效果分析（采用本月产投比ROI、本月加购率、本月支付转化率和本月进店成本反映营销效果）：（1）本月产投比ROI=本月销售总额/(本月总成本*非固定常数风险系数)；（2）本月加购率=本月加购人数/本月进店人数；（3）本月支付转化率=本月付款笔数/本月进店人数；（4）本月进店成本=本月总成本/本月进店人数。Analyzing data such as the monthly return on investment (ROI), monthly add-to-cart rate, monthly payment conversion rate, and monthly in-store visitor cost of different badge products on the JD.com platform can help enterprises in our company and other manufacturers and sellers of badge products in the same industry proactively understand the consumption prospects of badge products and consumer demands, providing references for formulating subsequent marketing strategies for badge products and thereby enhancing market competitiveness. 1. Data Collection and Preprocessing: (1) Data Collection: Collect the cost and sales statistics of the company's badge products on the JD.com platform, including product category, product name, sales channel/platform, product model, statistical year and month, total monthly cost (including production and promotional expenses of products), total monthly sales revenue, number of in-store visitors in the current month, number of users who added items to their shopping carts in the current month, and number of payment transactions in the current month. (2) Data Preprocessing: Clean the collected raw data. 2. Determination of Non-Fixed Constant Risk Coefficient: Obtain the non-fixed constant risk coefficient of the products through big data analysis methods based on factors such as the historical sales data of badge products, competitive landscape, and seasonal fluctuations. This coefficient is used to reflect the impact of market uncertainty on return on investment, and needs to be adjusted regularly to adapt to market changes. 3. Monthly Product Marketing Effectiveness Analysis (using monthly ROI, monthly add-to-cart rate, monthly payment conversion rate, and monthly in-store visitor cost to reflect marketing effectiveness): (1) Monthly ROI = Total monthly sales revenue / (Total monthly cost * Non-fixed constant risk coefficient) (2) Monthly add-to-cart rate = Number of users who added items to their shopping carts in the current month / Number of in-store visitors in the current month (3) Monthly payment conversion rate = Number of payment transactions in the current month / Number of in-store visitors in the current month (4) Monthly in-store visitor cost = Total monthly cost / Number of in-store visitors in the current month

搜集汇总

数据集介绍

特点

该数据集包含京东平台不同型号胸牌商品的营销效果数据，涵盖销售、进店、加购、付款等多维度指标，共516条记录，每月更新。适用于胸牌商品生产和销售企业分析消费趋势和优化营销策略。