四川省铝扣板产品用户消费能力分层数据

铝扣板产品的销售受地区经济结构，产业组成等条件影响，因此数据收集整理以省份作为划分区间。本数据通过对四川省用户铝扣板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，提升行业销售竞争力。1、数据收集：从数据库中根据四川省用户铝扣板产品消费记录梳理数据，选中字段为：订单编号，订单日期，销售省份，客户名称，货品，货品具体描述，统计年份； 2、数据加工：以统计年份为基础，a.先针对订单涉及交易用SUM函数求和，得到该客户消费金额（该客户消费金额字段数值为该客户所有订单累计结果）；得到某年总销售金额（元），具体年份以数据包内字段显示为准；b.该客户消费金额占比=该客户消费金额（元）/某年总销售金额（元）*100%；数据计算四舍五入，结果保留两位小数；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序列法，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0.3%区间，则给予“E类消费”;占比在小于0.3%范围内，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或小于0的情况） 3、数据应用：A类消费：建立专门的客户关系管理团队，与他们保持密切的一对一沟通；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；针对D类及其它分层用户制定宽泛的用户画像，构建大区域性用户分析模型。

The sales of aluminum gusset plate products are influenced by regional economic structure, industrial composition and other relevant factors. Therefore, data collection and organization are carried out with provinces as the statistical segmentation intervals. This dataset is developed by collecting and analyzing historical order data of aluminum gusset plate products from users in Sichuan Province, aiming to understand local consumer spending patterns for this product, classify consumers into consumption tiers, and provide data support for the wholesale and retail industries of related products to formulate procurement and sales strategies. It also aims to better deliver personalized products and services to consumers, enable enterprises to accurately grasp market dynamics, and enhance the sales competitiveness of the industry.
1. Data Collection: Sort out the consumption records of aluminum gusset plate products from users in Sichuan Province from the database, with selected fields including: order ID, order date, sales province, customer name, product name, detailed product description, and statistical year.
2. Data Processing: Based on the statistical year:
a. First, sum up the transaction amounts of all orders related to a single customer using the SUM function to obtain the customer's total consumption amount (the value of this field is the cumulative sum of all orders placed by the customer). Calculate the total annual sales amount (in RMB), where the specific year is determined by the fields within the dataset.
b. Customer consumption proportion = (Customer's total consumption amount / Total annual sales amount) * 100%. The calculation results shall be rounded and retained to two decimal places.
c. Rank the user consumption proportions in descending order, and classify consumers using the ABCDEF tiering method: assign "Tier A Consumption" to users with a proportion >= 1%; assign "Tier B Consumption" to users with a proportion in the range [0.8%, 1%); assign "Tier C Consumption" to users with a proportion in the range [0.6%, 0.8%); assign "Tier D Consumption" to users with a proportion in the range [0.4%, 0.6%); assign "Tier E Consumption" to users with a proportion in the range [0.3%, 0.4%); assign "Tier F Consumption" to users with a proportion < 0.3%. (All data in the dataset are valid consumption records, so there are no cases where the proportion is 0 or negative.)
3. Data Application:
- Tier A Consumption: Establish a dedicated customer relationship management (CRM) team to maintain close one-on-one communication with these customers;
- Tier B Consumption: Push personalized product recommendations based on their consumption history;
- Tier C Consumption: Recommend high-cost-performance product combinations to stimulate their consumption;
- For Tier D and other tiered users: Develop broad user personas and build large-scale regional user analysis models.

搜集汇总

背景与挑战

背景概述

该数据集是四川省铝扣板产品的用户消费能力分层数据，包含593条记录，每年更新，通过分析用户消费金额占比将消费者分为A到F六个等级，旨在帮助企业了解市场动态并制定个性化销售策略。数据集由法狮龙家居建材股份有限公司自行产生，适用于批发和零售行业，以支持采购决策和提升销售竞争力。