天猫平台不同型号迷你美工刀商品营销效果数据

通过计算分析天猫平台不同型号迷你美工刀商品的本月产投比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、销售迷你美工刀商品的企业，前瞻性地了迷你美工刀商品的消费前景，了解消费者的需求，为迷你美工刀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：收集公司在天猫平台上迷你美工刀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：根据迷你美工刀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 such as this month's return on investment (ROI), cart addition rate, payment conversion rate, and in-store cost of mini utility knives of various models on the Tmall platform, enterprises including our company that produce and sell mini utility knives in the same industry can proactively understand the consumption prospects and consumer demands of mini utility knives, provide references for formulating subsequent promotion and marketing strategies for such products, and thereby enhance market competitiveness.

1. Data Collection and Preprocessing:
(1) Data Collection: Collect cost and sales statistics of the company's mini utility knife products on the Tmall 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 in-store visitors, monthly cart addition users (number of users who add products to their shopping carts), and monthly payment transactions.
(2) Data Preprocessing: Clean the collected raw data.

2. Determination of Non-fixed Constant Risk Coefficient: Based on historical sales data, competitive landscape, seasonal fluctuations and other factors of mini utility knives, obtain the non-fixed constant risk coefficient of the products via big data analysis methods, which is used to reflect the impact of market uncertainty on investment returns, and requires regular adjustments to adapt to market changes.

3. Monthly Product Marketing Effect Analysis (using this month's ROI, cart addition rate, payment conversion rate and in-store 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 cart addition rate = Monthly cart addition users / Monthly in-store visitors;
(3) This month's payment conversion rate = Monthly payment transactions / Monthly in-store visitors;
(4) This month's in-store cost = Total monthly cost / Monthly in-store visitors.