长春市跨境商家销售能力分层数据

通过对长春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。

This dataset is developed by collecting and analyzing historical sales data of merchants in Changchun City, with the goals of understanding the consumption status of the merchant's users, establishing tags for merchants, classifying consumption levels, identifying consumer preferences, and evaluating the market popularity of the merchant's products. It aims to provide references for formulating procurement and sales strategies across all wholesale and retail industries, deliver personalized goods and services to consumers, help merchants accurately grasp market trends, and enhance consumer satisfaction and market competitiveness.

1. Data Collection: Sort and filter data based on merchants' consumption capabilities from the database, extracting fields including merchant ID, province and city of location, product category, sales region, statistical period (year and month), sales amount (in USD) and sales volume.

2. Data Processing:
a. First, sum the monthly sales amount (in USD) using the SUM function to calculate the annual sales amount (in USD); then sum the annual sales amounts (in USD) of all products to obtain the total sales amount (in USD).
b. Consumption proportion = (annual consumption amount (in USD) / total sales amount (in USD)) * 100%
c. Rank the proportion of each user's consumption in the total consumption in descending order, and classify consumption using the ABCDEF classification method: define "Category A consumption" for proportions ≥ 1%; "Category B consumption" for proportions ranging from <1% to ≥0.8%; "Category C consumption" for <0.8% to ≥0.6%; "Category D consumption" for <0.6% to ≥0.4%; "Category E consumption" for <0.4% to ≥0.2%; and "Category F consumption" for proportions <0.2%.

3. Data Application: Through this analysis workflow, enterprises can not only accurately grasp market dynamics, but also effectively improve customer satisfaction and market competitiveness.

搜集汇总

背景与挑战

背景概述

该数据集包含长春市跨境商家的销售数据，共计1241条记录，每年更新一次。数据涵盖商家ID、所在省市、商品类型、销售区域、各月销量及销售金额等字段，并通过ABCDEF分类法对商家消费能力进行分层。该数据集主要用于分析商家消费情况，制定销售策略，提升市场竞争力。