济南市跨境商家销售能力分层数据

通过对济南市历史销售数据的收集分析，了解该商家用户消费情况，对商家进行标签制定，定位消费级别，了解消费者的偏好，从而了解该商家产品是否畅销，为所有批发、零售行业制定采购、销售策略，更好地为消费者提供个性化的商品和服务，从而帮助商家更准确地掌握市场动态，提升消费者满意度和竞争力。1、数据收集：从数据库中根据商家消费能力梳理数据，筛选出商家ID、所在省市、商品类型、销售区域、统计期间（年月）销售金额（美元）及销量等字段； 2、数据加工：a.先针对各月销售金额字段用SUM函数求和，得到年销售金额（美元）；根据各个产品的年销售金额（美元）用SUM函数求和，得到总销售金额（美元）；b.消费占比=年消费金额（美元）/总销售金额（美元）*100%；c.用户消费占总消费的比例按从大到小进行排名，消费分类运用ABCDEF分类法，对占比大于等于1%以上，给予“A类消费”分层；占比在小于1%到大于等于0.8%区间，则给予“B类消费”分层；占比在小于0.8%到大于等于0.6%区间，则给予“C类消费”分层；占比在小于0.6%到大于等于0.4%区间，则给予“D类消费”分层；占比在小于0.4%到大于等于0.2%区间，则给予“E类消费”;占比在小于0.2%以下，则给予“F类消费”分层。 3、数据应用：通过这样的分析流程，企业不仅能够更准确地把握市场动态，还能够有效提升客户满意度和市场竞争力。

By collecting and analyzing historical sales data of Jinan City, this study aims to understand the consumption status of the merchant's users, develop merchant tags, locate consumption levels, and identify consumer preferences, thereby determining whether the merchant's products are best-selling. It formulates procurement and sales strategies for all wholesale and retail industries, provides personalized goods and services for consumers more effectively, and helps merchants accurately grasp market dynamics, improve consumer satisfaction and market competitiveness.
1. Data Collection: Sort and filter data from the database based on merchants' consumption capabilities, extracting fields including merchant ID, province and city of location, product type, sales region, statistical period (year and month), sales amount (USD), and sales volume;
2. Data Processing:
a. First, sum the monthly sales amount fields using the SUM function to obtain the annual sales amount (USD); then sum the annual sales amounts (USD) of each product via the SUM function to get the total sales amount (USD);
b. Consumption proportion = (annual consumption amount (USD) / total sales amount (USD)) * 100%;
c. Rank the proportion of user consumption in total consumption in descending order, and apply the ABCDEF classification method for consumption categorization: assign "Class A Consumption" tier to proportions ≥1%; assign "Class B Consumption" tier to proportions <1% and ≥0.8%; assign "Class C Consumption" tier to proportions <0.8% and ≥0.6%; assign "Class D Consumption" tier to proportions <0.6% and ≥0.4%; assign "Class E Consumption" tier to proportions <0.4% and ≥0.2%; assign "Class F Consumption" tier to proportions <0.2%.
3. Data Application: Through this analysis workflow, enterprises can not only accurately grasp market dynamics, but also effectively enhance customer satisfaction and market competitiveness.

搜集汇总

背景与挑战

背景概述

该数据集包含601条济南市跨境商家的销售数据，记录了2022年度各月的销量和销售金额，并通过ABCDEF分类法对商家消费能力进行分层。数据适用于批发和零售行业，帮助商家分析市场动态和消费者偏好，以制定更有效的销售策略。