天猫不同型号鱼饵在江苏市场潜力分析数据

本数据能帮助本公司识别天猫平台上销往江苏省不同型号鱼饵的市场潜力度情况，淘汰低市场潜力的鱼饵型号，从而优化销售的品牌鱼饵的型号结构，提升运营效率，增强顾客满意度，提升复购率；通过将广告资源集中在市场潜力指数高的鱼饵型号上，提高广告效果，提升营销投资回报率（ROI）。 同样，本数据有利于江苏省其他品牌鱼饵销售商或者线下渔具店分析比较不同型号鱼饵在江苏省的市场潜力指数和潜力指数趋势，针对性地优化或改进自己的商品库，使销售的鱼饵更迎合市场的需求。此外，本数据也可为江苏省鱼饵行业的市场分析师和投资者提供分析支持和市场洞察。1.数据收集和预处理：从公司内部的销售订单管理系统中收集销往江苏省的不同型号鱼饵产品月度销售汇总统计数据，包括统计月份、销售地区、鱼饵型号、当月该型号鱼饵销量、当月所有鱼饵总销量、当月该型号鱼饵销售额、当月所有鱼饵总销售量额、该型号鱼饵消费者评分。通过数据清洗确保数据质量。 2.按以下公式计算当月该型号鱼饵销量占比：当月该型号鱼饵销量占比=当月该型号鱼饵销量/当月所有鱼饵总销量； 3.按以下公式计算当月该型号鱼饵销售额占比：当月该型号鱼饵销售额占比=当月该型号鱼饵销售额/当月所有鱼饵总销售额 4.按以下公式构建该型号鱼饵月度市场潜力指数：该型号鱼饵月度市场潜力指数=W1×当月该型号鱼饵销量占比+W2×当月该型号鱼饵销售额占比+W3×（该型号鱼饵消费者评分/5），其中W1、W2、W3是权重系数，W1+W2+W3=1。 5.趋势识别：使用ARIMA（自回归积分滑动平均）模型（一种用于分析按时间顺序排列的数据点，以识别趋势、周期性和其他模式的统计模型）进行时间序列分析，基于该型号鱼饵的历史市场潜力指数数据，识别该型号鱼饵的市场潜力指数趋势。This dataset enables our company to assess the market potential of various types of fishing lures sold on the Tmall platform to Jiangsu Province, eliminate low-potential lure models, thereby optimizing the product portfolio of branded fishing lures we sell, improving operational efficiency, enhancing customer satisfaction and repurchase rates, as well as concentrating advertising resources on high-potential lure models to boost advertising effectiveness and marketing Return on Investment (ROI). Similarly, this dataset can assist other branded fishing lure retailers or brick-and-mortar fishing tackle shops in Jiangsu Province to analyze and compare the market potential indices and their trends of different lure models in Jiangsu, tailor their product inventory optimization and improvements to align their sold fishing lures with market demands. Additionally, this dataset can provide analytical support and market insights for market analysts and investors in the Jiangsu fishing lure industry. 1. Data Collection and Preprocessing: Collect monthly aggregated sales statistics of various fishing lures sold to Jiangsu Province from the company's internal sales order management system, including statistics month, sales region, lure model, sales volume of the specific lure model in the current month, total sales volume of all lures in the current month, sales revenue of the specific lure model in the current month, total sales revenue of all lures in the current month, and consumer ratings of the specific lure model. Ensure data quality through data cleaning. 2. Calculate the monthly sales volume proportion of the specific lure model using the following formula: Monthly sales volume proportion of the lure model = Sales volume of the specific lure model in the current month / Total sales volume of all lures in the current month; 3. Calculate the monthly sales revenue proportion of the specific lure model using the following formula: Monthly sales revenue proportion of the lure model = Sales revenue of the specific lure model in the current month / Total sales revenue of all lures in the current month; 4. Construct the monthly market potential index for the specific lure model using the following formula: Monthly market potential index of the lure model = W1 × Monthly sales volume proportion of the lure model + W2 × Monthly sales revenue proportion of the lure model + W3 × (Consumer ratings of the lure model / 5), where W1, W2, and W3 are weight coefficients satisfying W1 + W2 + W3 = 1. 5. Trend Identification: Conduct time series analysis using the ARIMA (AutoRegressive Integrated Moving Average) model, a statistical model used to analyze sequentially ordered data points to identify trends, periodicity, and other patterns, to detect trends in the market potential index of the specific lure model based on its historical market potential index data.

搜集汇总

背景与挑战

背景概述

该数据集由宁波天舟渔具有限公司提供，包含520条记录，每月更新，聚焦于天猫平台销往江苏省的鱼饵产品市场潜力分析。它通过计算销量占比、销售额占比和消费者评分构建市场潜力指数，并应用ARIMA模型识别趋势，旨在帮助企业优化产品结构、提升营销效率和投资回报率，同时为行业分析师提供市场洞察支持。