营销客群标准分-华南地区-投资理财服务业

该产品采用融合Transformer深度学习模型和神经网络模型，针对华南地区的投资理财服务业营销场景搭建模型，利用卷积神经网络（CNN）的复杂网络结构挖掘模型变量的非线性关系，形成对海量数据高效关联、分析的营销服务产品。本产品引用北京羽乐创新科技有限公司的消费人群洞察、全网标记检测、金盾、响应分等数据服务。通过对通信标签、通信响应、外呼投诉等多维度数据的清洗、整合与分析，运用聚类分析与关联规则挖掘技术，精准构建目标人群消费兴趣、购买潜力、投诉风险等多维度的用户画像。用户仅需输入营销行业、目标群体的区域和人群基本属性，即可精准识别目标人群华南地区投资理财服务业营销活动的匹配度。

This product integrates Transformer deep learning models and neural network architectures to develop a tailored model for the marketing scenarios of the investment and wealth management service industry in South China. Leveraging the complex network structure of Convolutional Neural Networks (CNN) to excavate the nonlinear relationships between model variables, it creates a marketing service product that enables efficient correlation and analysis of large-scale datasets. This product utilizes data services including consumer group insights, whole-network tag detection, Jin Dun, and Response Score provided by Beijing Yule Innovation Technology Co., Ltd. By cleaning, integrating and analyzing multi-dimensional data such as communication tags, communication responses, and outbound call complaints, it applies cluster analysis and association rule mining techniques to accurately build multi-dimensional user portraits covering the target groups' consumption interests, purchase potential, and complaint risks. Users only need to input the target marketing industry, the region of the target population, and the basic demographic attributes of the group, and can accurately identify the matching degree between the target population and the marketing activities of the investment and wealth management service industry in South China.