广东省保湿淡纹面霜消费能力分层数据

保湿淡纹面霜的销售受地区等客观条件影响，因此数据收集整理以省(市)份作为划分区间。本数据通过对广东省用户保湿淡纹面霜产品历史下单数据的收集和分析计算,了解该地区该商品用户消费情况，对消费者所在地区进行消费级别的划分，为相关产品批发、零售行业制定采购、销售策略提供数据支持，更好地为消费者提供个性化的商品和服务，从而帮助企业更准确地掌握市场动态，提升消费者满意度，行业销售竞争力。（例如：A类消费：建立专门的客户关系管理团队，与他们保持密切的沟通；B类消费：根据消费历史推送个性化推荐；C类消费：推荐性价比高的产品组合，激励消费...）1、数据收集：从数据库中对广东省用户保湿淡纹面霜2024年7月-2025年6月消费记录梳理数据，选中字段为：订单日期，客户名称，省（市），客户地址，商品种类，订单数量（个），订单金额（元）；
2、数据加工：
a.先针对订单金额字段用SUM函数求和，得到统计时间内总销售金额（元）；
b.针对省（市）字段，用SUM函数求和，得到统计时间内某省（市）所有客户消费总金额（元），具体省（市）以数据包内字段显示为准；
c.统计时间内某省（市）所有客户消费金额占比=统计时间内某省（市）所有客户消费总金额（元）/统计时间内总销售金额（元）*100%，，具体省（市）以数据包内字段显示为准；
d.运用ABCDEF序列法，运用ABCDEF序列法，对占比大于等于25%以上消费者所在地区，给予“A类消费”分层；占比小于25%到大于等于20%区间消费者所在地区，则给予“B类消费”分层；占比在小于20%到大于等于15%区间消费者所在地区，则给予“C类消费”分层；占比在小于15%到大于等于10%区间消费者所在地区，则给予“D类消费”分层；占比在小于10%到大于等于5%区间消费者所在地区，则给予“E类消费”;占比在小于5%范围内消费者所在地区，则给予“F类消费”分层。（数据包内皆为有效消费数据，因此不存在占比为0的情况）
3、数据应用：为相关产品批发、零售行业制定采购、销售策略提供数据支持（例如：A类消费：建立专门的客户关系管理团队，与他们保持密切的沟通；B类消费：根据消费历史推送个性化推荐；C类消费：推荐性价比高的产品组合，激励消费...具体方案由企业具体制定。），更好地为消费者提供个性化的商品和服务。

The sales of moisturizing anti-wrinkle facial creams are affected by objective conditions such as regional factors, so the data collection and organization are divided by provinces (cities). This dataset collects, analyzes and calculates the historical order data of moisturizing anti-wrinkle facial cream users in Guangdong Province, to understand the consumer spending of this product in this region, classify the consumer levels of the regions where consumers are located, provide data support for the procurement and sales strategy formulation of the wholesale and retail industries of related products, better provide personalized products and services for consumers, help enterprises accurately grasp market trends, and improve consumer satisfaction and industry sales competitiveness. For example: Category A consumers: Establish a dedicated customer relationship management team to maintain close communication with them; Category B consumers: Push personalized recommendations based on consumption history; Category C consumers: Recommend cost-effective product combinations to stimulate consumption... 1. Data Collection: Sort out the consumption records of moisturizing anti-wrinkle facial cream users in Guangdong Province from the database from July 2024 to June 2025, with selected fields: order date, customer name, province (city), customer address, product category, order quantity (unit), order amount (CNY); 2. Data Processing: a. First, use the SUM function to sum the order amount field to obtain the total sales amount (CNY) within the statistical period; b. Use the SUM function to sum the province (city) field to obtain the total consumption amount (CNY) of all customers in a certain province (city) within the statistical period. The specific provinces (cities) shall be subject to the fields displayed in the data package; c. Proportion of total consumption amount of all customers in a certain province (city) within the statistical period = (Total consumption amount of all customers in a certain province (city) within the statistical period (CNY) / Total sales amount within the statistical period (CNY)) * 100%. The specific provinces (cities) shall be subject to the fields displayed in the data package; d. Use the ABCDEF classification method to stratify the regions where consumers are located: regions with a proportion ≥25% are classified as "Category A consumption"; regions with a proportion between <25% and ≥20% are classified as "Category B consumption"; regions with a proportion between <20% and ≥15% are classified as "Category C consumption"; regions with a proportion between <15% and ≥10% are classified as "Category D consumption"; regions with a proportion between <10% and ≥5% are classified as "Category E consumption"; regions with a proportion <5% are classified as "Category F consumption". (All data in the package are valid consumption data, so there is no situation where the proportion is 0.) 3. Data Application: Provide data support for the formulation of procurement and sales strategies for the wholesale and retail industries of related products (For example: Category A consumers: Establish a dedicated customer relationship management team to maintain close communication with them; Category B consumers: Push personalized recommendations based on consumption history; Category C consumers: Recommend cost-effective product combinations to stimulate consumption... Specific plans shall be formulated by enterprises according to their actual situations.), so as to better provide personalized products and services for consumers.

搜集汇总

背景与挑战

背景概述

该数据集聚焦广东省保湿淡纹面霜的消费数据，包含1314条记录，覆盖2024年7月至2025年6月的订单信息，通过算法对客户消费金额进行分层（如A类到F类），旨在帮助批发零售行业优化采购和销售策略，提升市场竞争力。