拼多多平台不同型号校徽商品营销效果数据

通过计算分析拼多多平台不同型号校徽商品的本月产投比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、销售校徽商品的企业，前瞻性地了校徽商品的消费前景，了解消费者的需求，为校徽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：收集公司在拼多多平台上校徽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：根据校徽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。

By calculating and analyzing metrics including this month's return on investment (ROI), add-to-cart rate, payment conversion rate, and in-store visit cost for school badge products of different models on the Pinduoduo platform, enterprises including our company and other peers engaged in the production and sales of school badge products can gain forward-looking insights into the consumption prospects and consumer demands of school badge products, providing references for formulating subsequent promotion and marketing strategies for school badge products and thereby enhancing market competitiveness. 1. Data Collection and Preprocessing: (1) Data Collection: Collect cost and sales statistics of school badge products of our company on the Pinduoduo platform, including product category, product name, sales channel/platform, product model, statistical year and month, total monthly cost (input for product production and promotion), total monthly sales, monthly number of in-store visitors, monthly number of add-to-cart users (users who added products to their shopping carts), and monthly number of payment transactions. (2) Data Preprocessing: Clean the collected raw data. 2. Determination of Non-fixed Constant Risk Coefficient: Based on factors such as historical sales data, competitive landscape and seasonal fluctuations of school badge products, the non-fixed constant risk coefficient of the products is obtained through big data analysis methods, which is used to reflect the impact of market uncertainty on investment returns and needs to be adjusted regularly to adapt to market changes. 3. This Month's Product Marketing Effect Analysis (using this month's ROI, add-to-cart rate, payment conversion rate and in-store visit cost to reflect marketing effects): (1) This Month's ROI = Total Monthly Sales / (Total Monthly Cost × Non-fixed Constant Risk Coefficient); (2) This Month's Add-to-Cart Rate = Monthly Number of Add-to-Cart Users / Monthly Number of In-Store Visitors; (3) This Month's Payment Conversion Rate = Monthly Number of Payment Transactions / Monthly Number of In-Store Visitors; (4) This Month's In-Store Visit Cost = Total Monthly Cost / Monthly Number of In-Store Visitors.