安徽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。本数据通过对安徽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，提升消费者满意度，行业销售竞争力。1、数据收集：从数据库中根据安徽省用户铝扣板类产品消费记录梳理数据，选中字段为：订单编号，日期，销售省份，客户名称，交易金额/元，货品，货品具体描述,； 2、数据加工：以统计年份为基础，a.先针对交易金额字段用SUM函数求和，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=该客户交易金额（元）/某年总销售金额（元）*100%；（其中，该客户消费金额字段数值为该客户所有订单累计结果）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0.2%区间，则给予“E类消费”;占比在小于0.2%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 plates are affected by regional economic structure, industrial composition and other relevant factors. Therefore, the data collection and organization take provinces as the segmentation units. This dataset is collected and analyzed based on the historical order data of aluminum gusset plate products from users in Anhui Province, aiming to understand the local consumption status of this product, classify consumers into consumption tiers, provide data support for the formulation of procurement and sales strategies by wholesale and retail industries of related products, better deliver personalized goods and services to consumers, help enterprises accurately grasp market trends, and improve consumer satisfaction and the industry's sales competitiveness.

1. Data Collection: Sort out the consumption records of aluminum gusset plate products from users in Anhui Province from the database, with the selected fields including: order ID, date, sales province, customer name, transaction amount (CNY), product, and detailed product description.

2. Data Processing: Based on the statistical year:
a. First, use the SUM function to calculate the total annual sales amount (CNY) by summing up the transaction amount field; the specific statistical year shall be determined by the fields in the dataset.
b. Customer consumption proportion = (customer's total transaction amount (CNY) / total annual sales amount (CNY)) * 100%; (Note: The value of the customer's consumption amount field is the cumulative result of all orders placed by the customer.)
c. Rank the proportion of each user's consumption in the total regional consumption from largest to smallest, and adopt the ABCDEF sequence-based tiering method for consumption classification:
- Tier A: For users with a consumption proportion ≥ 1%;
- Tier B: For users with a consumption proportion between <1% and ≥ 0.8%;
- Tier C: For users with a consumption proportion between <0.8% and ≥ 0.6%;
- Tier D: For users with a consumption proportion between <0.6% and ≥ 0.4%;
- Tier E: For users with a consumption proportion between <0.4% and ≥ 0.2%;
- Tier F: For users with a consumption proportion <0.2%.
(All data in the dataset are valid consumption records, so there are no cases with a 0% consumption proportion.)

3. Data Application:
- Tier A consumers: Establish a dedicated customer relationship management (CRM) team to maintain close one-on-one communication with these customers;
- Tier B consumers: Push personalized product recommendations based on their consumption history;
- Tier C consumers: Recommend cost-effective product combinations to stimulate their consumption;
- Users in Tier D and other tiers: 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

该数据集由法狮龙家居建材股份有限公司提供，包含513条安徽省铝扣板产品用户的消费记录，每年更新一次。数据通过计算用户消费金额占比进行ABCDEF分层，帮助分析用户消费能力，为批发零售行业制定个性化销售策略和市场动态监控提供支持。