各地区客户对洗面奶需求量数据

通过收集和分析各区域客户对洗面奶消费相关数据，了解客户对洗面奶的购买力水平和消费偏好，从而了解该产品是否畅销，从而为本行业的所有企业制定生产策略，更好地为用户提供个性化的商品和服务，对于高等级客户可每月1至2次与之沟通，对于中等级客户可每季度1至2次与之客户沟通，对于低等级客户可每半年1至2次与之沟通，从而制定更精准的生产营销策略。1.数据采集：采集各年各个客户对洗面奶的相关交易数据。2.数据处理：对采集到数据进行分类、合并、累加，便于分析使用。3.算法加工：将处理后的数据进行需求量分析：需求指数P={a1（单笔最少订单数量）/b1（单笔最少消费额度）+a2（单笔最高订单数量）/b2（单笔最高消费额度）}*k，k为消费系数，客户归属于不同的经济区域k值不同，全国分为四大经济区域：东部地区、东北地区、中部地区和西部地区，按经验取值东部地区k值为1.1，东北和中部地区k值为1.15，西部地区k值为1.2。4、数据分类分级：根据计算出的需求指数P，将客户等级划分为“高、中、低”不同的类别和级别（200分及以上标记为“高等级”，150-200分区间内标记为“中等级”，150分及以下标记为“低等级”），帮助公司更好地理解客户。

This dataset is developed by collecting and analyzing facial cleanser consumption-related data of customers across diverse regions, to investigate customers' purchasing power and consumption preferences for facial cleansers, and thereby assess the market popularity of the product. The derived insights can support all enterprises in the industry in formulating evidence-based production strategies, delivering personalized products and services to users, and devising more accurate production and marketing strategies: specifically, high-tier customers should be contacted 1 to 2 times per month, medium-tier customers 1 to 2 times per quarter, and low-tier customers 1 to 2 times every six months.

The dataset construction process includes four core steps:
1. Data Collection: Collect transaction data related to facial cleanser purchases from all customers across all recorded years.
2. Data Processing: Classify, merge, and aggregate the collected data to facilitate subsequent analytical work.
3. Algorithm Processing: Conduct demand analysis on the processed data, with the demand index P calculated as: $P = left(frac{a_1}{b_1} + frac{a_2}{b_2}
ight) * k$. Here, $a_1$ refers to the minimum order quantity per single transaction, $b_1$ refers to the minimum consumption amount per single transaction, $a_2$ refers to the maximum order quantity per single transaction, $b_2$ refers to the maximum consumption amount per single transaction, and $k$ is the consumption coefficient. The value of $k$ varies by economic region: the country is divided into four major economic regions, namely the Eastern Region, Northeast Region, Central Region, and Western Region. Based on empirical values, the $k$ value for the Eastern Region is 1.1, 1.15 for both the Northeast and Central Regions, and 1.2 for the Western Region.
4. Data Classification and Grading: Divide customers into "high", "medium", and "low" tiers based on the calculated demand index $P$: customers with a score of 200 or above are marked as "high-tier", those with a score within the range of 150 to 200 as "medium-tier", and those with a score of 150 or below as "low-tier", to help enterprises better understand their customer groups.