江苏区域平台用户购买力水平分析数据

通过收集和分析用户消费相关数据,了解用户的购买力水平和消费偏好,从而更好地为用户提供个性化的商品和服务。算法分析：1.数据采集：采集平台用户的相关交易数据。2.数据处理：对采集到数据进行去重、合并、累加，便于分析使用。3.算法加工：将处理后的数据进行购买力水平分析：K= a1*累计订单数量（k1）/平台总订单数量（k1 max）+ a2*累计消费总额（k2）/平台累积消费总额（k2 max）+a3*累计交易数量（k3）/平台总交易数量（k3 max）。4.数据分类分级：根据计算出的购买力水平，将用户划分为“高、中、低”不同的类别和级别（10分以上标记为“高”，10-1分区间内标记为“中”，1分以下标记为“低”）帮助平台更好地理解用户，从而制定更精准的营销策略。

This dataset is developed to acquire insights into users' purchasing power and consumption preferences through collecting and analyzing consumer-related data, thereby enabling better delivery of personalized products and services to users.
Algorithm Analysis:
1. Data Collection: Gather transaction data related to platform users.
2. Data Preprocessing: Deduplicate, merge and aggregate the collected data to facilitate subsequent analysis.
3. Algorithm-based Processing: Conduct purchasing power analysis on the preprocessed data using the formula: K = a1 * Cumulative Order Count (k1) / Total Platform Order Count (k1_max) + a2 * Cumulative Total Consumption (k2) / Total Cumulative Platform Consumption (k2_max) + a3 * Cumulative Transaction Count (k3) / Total Platform Transaction Count (k3_max)
4. Data Classification and Grading: Divide users into "High", "Medium" and "Low" categories and levels based on the calculated purchasing power score: users with a score above 10 are marked as "High", those within the range of 1 to 10 as "Medium", and those below 1 as "Low". This helps platforms better understand their users and formulate more precise marketing strategies.

搜集汇总

数据集介绍

特点

该数据集包含江苏省用户的购买力水平分析数据，涵盖省份、城市、县区、订单总额、订单GMV、交易记录数量等字段，共187条记录，每日更新。通过算法分析用户的购买力水平，将用户划分为高、中、低消费层，用于个性化商品和服务推荐。