嘉兴市不同品牌型号手机月度市场潜力分析数据

本数据能帮助本公司识别嘉兴市不同品牌不同型号手机的市场潜力度情况，淘汰低市场潜力的手机型号，从而优化销售的品牌手机的型号结构，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手机型号上，提高广告效果，提升营销投资回报率（ROI）。 同样，本数据有利于嘉兴市其他品牌手机销售商分析比较不同品牌型号手机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，使销售的手机更迎合市场的需求。 本数据也可为手机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：从公司内部的订单管理系统中收集嘉兴市门店不同品牌手机月度销售汇总统计数据，包括统计月份、销售地区、手机品牌、手机型号、当月该型号手机销量、当月所有手机总销量、当月该型号手机销售额、当月所有手机总销售额、该型号手机消费者评分。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手机销量占比：当月该型号手机销量占比=当月该型号手机销量/当月所有手机总销量; 3.按以下公式计算当月该型号手机销售额占比：当月该型号手机销售额占比=当月该型号手机销售额/当月所有手机总销售额 4.按以下公式构建该型号手机月度市场潜力指数：该型号手机月度市场潜力指数=W1×当月该型号手机销量占比+W2×当月该型号手机销售额占比+W3×（该型号手机消费者评分/5），其中W1、W2、W3是权重系数，根据各因素的影响程度经内部专家研判后进行调整设定，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，基于该型号手机的历史市场潜力指数数据，识别该型号手机的市场潜力指数趋势。

This dataset enables our company to assess the market potential of mobile phone models of various brands in Jiaxing City, eliminate low-potential models, optimize the product portfolio of sold mobile phones, improve operational efficiency, enhance customer satisfaction and repurchase rate. By concentrating advertising resources on high-potential mobile phone models, we can boost advertising effectiveness and improve marketing return on investment (ROI).

Similarly, this dataset can assist other mobile phone retailers in Jiaxing City to analyze and compare the market potential index and its trend of different brand and model mobile phones, so as to optimise or adjust their own product inventory in a targeted manner and align their sold products with market demand.

This dataset also provides analytical support and market insights for market analysts and investors in the mobile phone industry.

1. Data Collection and Preprocessing: Monthly aggregated sales statistics of mobile phones of various brands at stores in Jiaxing City are collected from the company's internal order management system, including statistical month, sales region, mobile phone brand, mobile phone model, monthly sales volume of the specific model, total monthly sales volume of all mobile phones, monthly sales revenue of the specific model, total monthly sales revenue of all mobile phones, and consumer rating of the specific model. Data cleaning is conducted to ensure data quality.

2. Calculate the monthly sales volume share of the specific model using the following formula: Monthly sales volume share of the specific model = Monthly sales volume of the specific model / Total monthly sales volume of all mobile phones;

3. Calculate the monthly sales revenue share of the specific model using the following formula: Monthly sales revenue share of the specific model = Monthly sales revenue of the specific model / Total monthly sales revenue of all mobile phones;

4. Construct the monthly market potential index of the specific mobile phone model using the following formula: Monthly market potential index of the mobile phone model = W1 × Monthly sales volume share of the specific model + W2 × Monthly sales revenue share of the specific model + W3 × (Consumer rating of the specific model / 5), where W1, W2, and W3 are weight coefficients, which are adjusted and set based on the influence degree of each factor through internal expert assessment, satisfying W1 + W2 + W3 = 1.

5. Trend Identification: Time series analysis is conducted 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 identify the trend of the market potential index of the specific mobile phone model based on its historical market potential index data.